- Department of Critical Care Medicine, The Affiliated Hospital, Jiangsu University, Zhenjiang, China
Background: Neutrophils to lymphocytes and platelets (N/LP) ratio has been confirmed as an indirect marker of inflammation. In this study, we aimed to further evaluate the prognostic significance of the N/LP ratio in sepsis patients admitted to the ICU.
Methods: Sepsis patients from the Affiliated Hospital of Jiangsu University were retrospectively enrolled from January 2015 and July 2023. The primary outcomes were 30/60 days mortality. The secondary outcomes included the incidence of AKI, vasoactive drug, CRRT, invasive ventilation, length of ICU stay, length of hospital stay and ICU mortality.
Results: A total of 1,066 sepsis patients were enrolled with a median age of 75.0 (66.0, 85.0) years, and 62.5% of them being male. The 30 days and 60 days mortality rates were found to be 28.7 and 34.0%, respectively, while the incidence of AKI was 45.2%. Based on their N/LP ratios, we classified the sepsis patients into three groups: low, middle, and high, consisting of 266, 534, and 266 patients, respectively. According the Cox proportional hazard model, the middle and high N/LP groups were associated with a 1.990/3.106-fold increase in 30 days mortality risk and a 2.066/3.046-fold increase in 60 days mortality risk compared with the low N/LP group. Besides, multivariate logistic regression model suggested that the risk of AKI occurrence increased 2.460 fold in the high group compared to the low group. However, through subgroup analyses, we observed substantial variations in the association between N/LP ratios and 30/60 days mortality rates as well as the incidence of AKI among different populations. Notably, the N/LP ratio measured at ICU admission exhibited a higher AUC for predicting 30/60 days mortality (0.684/0.687). Additionally, we observed a good predictive power for the occurrence of AKI (AUC: 0.645) using the N/LP ratio measured at sepsis prognosis. Regarding the other secondary outcomes, the N/LP ratio was associated with disease severity in sepsis patients, including the need for vasoactive drugs, length of ICU stay, and ICU mortality.
Conclusion: The N/LP ratio at ICU admission was found to have a significant independent association with 30/60 days mortality and the incidence of AKI in sepsis patients.
Introduction
Sepsis, a life-threatening condition characterized by organ dysfunction caused by an uncontrolled immune response to infection, remains a significant threat to human survival (1). According to previous epidemiological studies, the global incidence of sepsis is approximately 50 million cases per year, with approximately 11 million deaths annually (2). In China, it is estimated that 20.6% of patients in the intensive care unit (ICU) suffer from sepsis, and over 35.5% of them succumb to the condition (3). Despite extensive research efforts focused on understanding the pathogenesis, early diagnosis, and clinical treatment of sepsis, the mortality rate among ICU patients with sepsis remains alarmingly high (4, 5). Therefore, identifying applicable prognostic factors for sepsis patients is crucial to facilitate timely interventions and improve patient outcomes.
Previous studies had identified several biomarkers such as oncostatin M (OSM), apoptosis inhibitor of the macrophage (AIM/CD5L), interleukin-26 (IL-26), interleukin-17D (IL-17D), interleukin-37 (IL-37), and growth differentiation factor-15 (GDF-15) as potential predictors of sepsis prognosis (6–11). However, most of these markers were costly and not feasible for routine clinical practice. In light of this, it is worth noting that systemic inflammatory responses play a significant role in the development and progression of sepsis (12). The neutrophils to lymphocytes and platelets (N/LP) ratio, a readily available inflammation marker, had emerged as a low-cost alternative that can be assessed through routine blood counts (13). The N/LP ratio had shown utility in reflecting patients’ inflammatory status and had been identified as a risk factor for adverse outcomes in various conditions, including Corona Virus Disease 2019 (COVID-19) and the occurrence of acute kidney injury (AKI) following abdominal and cardiovascular surgeries (14–16). However, the relationship between N/LP ratios and adverse outcomes in sepsis patients has received limited attention.
Sepsis is a severe infectious disease characterized by dysregulation of the body’s immune system and activation of inflammatory response. During the onset of sepsis, immune cells such as neutrophils and lymphocytes participate in the immune process, and platelets also play an important role in the inflammatory response (17). Studies had shown that the neutrophil-to-lymphocyte ratio (NLR) was considered an indicator of the equilibrium between innate and adaptive immune responses. It had been extensively investigated as a prognostic factor in numerous inflammatory diseases, including sepsis (18–20). However, in cases of sepsis, the activation of inflammation and coagulation systems can lead to platelet aggregation and decrease (21). Consequently, monitoring the N/LP ratio may provide some reference for evaluating the prognosis of sepsis. Currently, there is a paucity of research examining the association between N/LP ratios and the prognosis of sepsis patients in the ICU. Therefore, the main objective of this study was to investigate the prognostic value of the N/LP ratio in ICU patients with sepsis.
Methods
Patient selection
This retrospective analysis was conducted at the Affiliated Hospital of Jiangsu University, focusing on sepsis patients admitted between January 2015 and July 2023, including both internistic and surgical patients. The inclusion criteria comprised patients who met the Sepsis 3.0 diagnostic criteria (confirmed or suspected infection with a total SOFA score of 2 points) (1) at the time of ICU admission and were aged 18 or above. Additionally, patients needed to have complete clinical data available. Exclusion criteria included patients who were discharged or died within 24 h of ICU admission, patients with chronic kidney disease (CKD), and patients with hepatic cirrhosis. A diagnosis of CKD is confirmed if a patient presents a glomerular filtration rate (GFR) below 60 mL/min/1.73 m2 for three consecutive months, accompanied by alterations in any kidney injury marker or evidence from imaging tests (22). The study protocol was approved by the Ethics Committee of the Affiliated Hospital of Jiangsu University (Approval No. KY2023K1007). All patients provided written informed consent.
Data collection
Clinical data for the included patients were extracted from electronic medical records. The collected clinical data encompassed various aspects, including demographic information [age, gender, smoking, body mass index (BMI)], associated comorbidities [hypertension, diabetes, coronary artery disease, chronic obstructive pulmonary disease (COPD), cerebral infarction], infection pathogens (gram-positive bacteria, gram-negative bacteria, fungus, virus), infection locations (multisite infection, lower respiratory infection, gastrointestinal infection, intra-abdominal infection, genitourinary tract infection, bacteremia, skin and soft tissue infection), laboratory test variables [white blood cell (WBC), neutrophil (Neu), lymphocyte (Lym), platelet (PLT), hemoglobin (Hb), C-reactive protein (CRP), albumin (Alb), creatinine, glucose, blood urea nitrogen (BUN), uric acid, endotoxin, procalcitonin (PCT), prothrombin time (PT), D-dimer, potassium, sodium, lactate], severity scores [Acute Physiology and Chronic Health Evaluation II (APACHE II) score, Sequential Organ Failure Assessment (SOFA) score], therapies administered [use of vasoactive drug, continuous renal replacement therapy (CRRT), invasive ventilation] and endpoints (incidence of AKI, length of ICU stay, length of hospital stay, 30 days mortality, 60 days mortality, and ICU mortality). The worst values of the above laboratory markers were collected within 24 h of ICU admission. AKI was diagnosed according to the criteria set by the Kidney Disease Improving Global Outcomes (KDIGO) guidelines (23). Specifically, AKI was defined as an increase in creatinine levels to at least 1.5 times the baseline within the prior 7 days or an absolute increase of at least 0.3 mg/dL within 48 h. It is important to note that the diagnosis of AKI was made after the patient’s admission to the ICU.
The N/LP ratio was calculated using the equation: Neutrophil count × 100/(lymphocyte count × platelet count) (14). Patients were then categorized into three groups based on their N/LP ratio quartile range: low (N/LP <= 5.68, <=25th percentile), middle (5.68 <= N/LP <= 10.4128, 25th–75th percentile), and high (N/LP >= 28.41, >=75th percentile).
Outcomes
The primary outcomes of interest in this study were the 30 days mortality and 60 days mortality. The secondary outcomes included the incidence of AKI, use of vasoactive drugs, CRRT, invasive ventilation, length of ICU stay, length of hospital stay, and ICU mortality.
Statistical analysis
For continuous variables, descriptive statistics such as mean with standard deviation or median with interquartile ranges (IQR) were calculated. The one-way ANOVA test or nonparametric Kruskal–Wallis test was used to compare continuous variables between groups. Categorical variables were presented as frequencies and percentages, and comparisons between groups were made using chi-square or Fisher exact tests. To evaluate the mortality of sepsis patients based on the N/LP ratio, Kaplan–Meier curves, Cox proportional hazards models, and cubic spline regression analyses were performed. Kaplan–Meier curves were used to analyze cumulative survival probabilities at 30 days and 60 days mortality. Multivariate Cox proportional hazard models were employed to examine the relationship between the N/LP ratio and 30 days and 60 days mortality, adjusting for various covariates in different models. Hazard ratios (HR) and 95% confidence intervals (CI) were reported. Model 1 did not include any covariate adjustments, while Model 2 adjusted for age, hypertension, diabetes, Alb, creatinine, BUN, uric acid, SOFA score, CRRT, and invasive ventilation. Model 3 adjusted for age, BMI, smoking, hypertension, diabetes, Hb, CRP, Alb, creatinine, BUN, uric acid, PT, D-dimer, potassium, APACHE II score, SOFA score, vasoactive drug, CRRT, invasive ventilation, and incidence of AKI. Additionally, cubic spline regression analysis was used to visualize the association between the N/LP ratio and mortality risk, with five equally distributed knots along the N/LP ratio curve, placed at 5, 27.5, 50, 72.5, and 95 percentiles for the N/LP ratio. The reference point was set at the 5.68 (25th). The association between the N/LP ratio and the incidence of AKI was investigated through logistic regression models with different degrees of covariate adjustment. Model 1 was an univariate analysis without adjusting for any covariates. Model 2 adjusted for age, gender, hypertension, diabetes, intra-abdominal infection, genitourinary tract infection, WBC, potassium, and lactate level. Model 3 adjusted for age, gender, BMI, hypertension, diabetes, coronary artery disease, gram-negative bacteria, intra-abdominal infection, genitourinary tract infection, bacteremia, WBC, potassium, sodium, and lactate level. Cubic spline regression analysis was also employed to explore the relationship between the N/LP ratio and the occurrence of AKI. Additionally, we performed a stratified analysis to examine whether the N/LP ratio had any association with 30/60 days mortality in specific subgroups based on age, gender, hypertension, diabetes, SOFA score, and AKI. We also investigated whether the N/LP ratio was associated with the occurrence of AKI in subgroups stratified by age, gender, hypertension, diabetes, SOFA score, and lactate level. Furthermore, we estimated the predictive value of the N/LP ratio for 30/60 days mortality and the incidence of AKI using the ROC analysis. To assess the association between the N/LP ratios and in-hospital adverse outcomes, multivariate binary logistic or Cox or linear regression analysis was employed. All statistical analyses were conducted using IBM SPSS 26.0, GraphPad Prism 9.0, and R version 4.2.0. Statistical significance was defined as a p-value less than 0.05 (two-sided).
Results
Patient characteristics
In this study, a total of 1,066 patients were included (Figure 1). The distribution of the N/LP ratio was summarized as follows: the 25th percentile, median, and 75th percentile were 5.68, 12.14, and 28.41, respectively. Based on predefined grouping criteria, 266 patients were categorized into the low N/LP group, 534 into the middle N/LP group, and 266 into the high N/LP group. Table 1 presented the baseline characteristics of the patients. The median age was 75.0 years (interquartile range: 66.0, 85.0), with 666 (62.5%) being male. Among the enrolled patients, 209 (19.6%) were smokers, and the median BMI was 22.60 kg/m2 (interquartile range: 19.92, 25.38). Hypertension (51.7%) was the most prevalent comorbidity, followed by diabetes (36.9%), cerebral infarction (14.4%), coronary artery disease (10.3%), and COPD (7.7%). Regarding the source of infection, the high N/LP group had a higher proportion of gram-negative bacteria (p = 0.005) and multisite infection (p < 0.001) compared to the other groups. Several laboratory parameters were significantly different among the N/LP groups. The high N/LP group had significantly higher levels of WBC, Neu, CRP, creatinine, BUN, uric acid, PCT, PT, D-dimer, and lactate (p < 0.001). Conversely, Lym, Hb, PLT, and Alb were significantly lower in the high N/LP group (p < 0.001). As anticipated, the high N/LP group demonstrated significantly higher APACHE II score and SOFA score when compared to the other groups (p < 0.001, p < 0.001, respectively). Spearman’s analysis was conducted to examine the correlation between N/LP ratios and APACHE II score and SOFA score (Figure 2). The resulting correlation coefficients were as follows: N/LP and APACHE II score = 0.121 (p < 0.001), N/LP and SOFA score = 0.174 (p < 0.001).
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Table 1. Baseline demographic and clinical characteristics by different N/LP ratios in sepsis patients.
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Figure 2. Association between N/LP ratios and APACHE II score (A) and SOFA score (B) using Spearman’s analysis. APACHE II, acute physiology and chronic health evaluation II; SOFA, sequential organ failure assessment.
Patient outcomes
Among the 1,066 patients included in the study, 715 (67.1%) received vasoactive drugs and 720 (67.5%) required invasive ventilation. AKI was diagnosed in 483 (45.2%) patients, with 74 (6.9%) requiring CRRT. During the hospital admission, a total of 306 (28.7%) deaths occurred within 30 days, and 362 (34.0%) deaths occurred within 60 days (Table 2). Additionally, the median length of ICU stay was 6 days (interquartile range: 3, 12), and the median length of hospital stay was 17 days (interquartile range: 11, 25). Among the patients admitted to the ICU, 346 (32.5%) individuals died during their ICU admission.
The relationship between N/LP ratios and 30/60 days mortality
As indicated in Table 2, there was a significant variation in 30/60 days mortality within each N/LP group. The mortality rates increased progressively with higher N/LP ratios (Figures 3A,B). Furthermore, the cumulative incidence curves generated using the Kaplan–Meier method and the log-rank test (p < 0.001) displayed the same pattern (Figure 4). To further investigate the impact of different N/LP ratios on 30/60 days mortality in sepsis patients, univariate and multivariate Cox proportional hazards regression analyses were conducted (Figures 5A,B). Based on the results of the univariate Cox analysis, variables such as age, BMI, smoking, hypertension, diabetes, Hb, CRP, Alb, creatinine, BUN, uric acid, PT, D-dimer, potassium, APACHE II score, SOFA score, vasoactive drug, CRRT, invasive ventilation, and incidence of AKI were included in the multivariate analysis. The findings demonstrated that a high N/LP ratio was associated with an increased HR for both 30 days and 60 days mortality in sepsis patients. This association remained consistent in all three models. In Model 3, after adjusting for all twenty-one covariates, the middle and high N/LP ratio groups had a 1.990/3.106-fold higher risk of 30 days mortality (95% CI: 1.329, 2.981; 95% CI: 2.028, 4.758, respectively) and a 2.066/3.046-fold higher risk of 60 days mortality (95% CI: 1.421, 3.003; 95% CI: 2.054, 4.517, respectively) compared to the low N/LP group. Moreover, the relationship between N/LP ratios and 30/60 days mortality risk was assessed using cubic spline regression analyses (Figures 6A,B). The HR for 30/60 days mortality significantly increased when the N/LP ratio upon ICU admission exceeded or equaled 5.68. Furthermore, the risk of 30/60 days mortality substantially escalated with higher N/LP ratios.
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Figure 3. The 30/60 days mortality and the proportion of AKI in different N/LP groups. (A) The 30 days mortality of sepsis patients in each N/LP group were 11.7% (low N/LP group), 28.3% (middle N/LP group), and 46.6% (high N/LP group); (B) The 60 days mortality of sepsis patients in each N/LP group were 13.5% (low N/LP group), 34.6% (middle N/LP group), and 53.0% (high N/LP group); (C) The proportion of AKI in each N/LP group were 31.2% (low N/LP group), 42.7% (middle N/LP group), and 64.7% (high N/LP group). Statistical analysis by chi-square test; *p < 0.05 and **p < 0.001. AKI, acute kidney injury.
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Figure 4. Kaplan–Meier analysis for 30/60 days survival basing on the N/LP ratio. (A) Kaplan–Meier analysis for 30 days survival basing on the N/LP ratio at ICU admission. (B) Kaplan–Meier analysis for 60 days survival basing on the N/LP ratio at ICU admission.
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Figure 5. Multivariate cox proportional hazard model for 30 days (A) and 60 days (B) mortality based on N/LP ratio; Model 1: univariate analysis; Model 2: adjusted for age, hypertension, diabetes, Alb, creatinine, BUN, uric acid, SOFA score, CRRT, and invasive ventilation; Model 3: adjusted for age, BMI, smoking, hypertension, diabetes, Hb, CRP, Alb, creatinine, BUN, uric acid, PT, D-dimer, potassium, APACHEII score, SOFA score, vasoactive drug, CRRT, invasive ventilation, and incidence of AKI. BMI, body mass index; Hb, hemoglobin; CRP, C-reactive protein; Alb, albumin; BUN, blood urea nitroge; PT, prothrombin time; APACHE II, acute physiology and chronic health evaluation II; SOFA, sequential organ failure assessment; CRRT, continuous renal replacement therapy; ICU, intensive care unit; AKI, acute kidney injury.
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Figure 6. The association between N/LP ratios and the adverse outcomes risk by using cubic spline regression analyses. The 30 days mortality risk (A), 60 days mortality risk (B), and AKI occurrence (C) were analyzed by using cubic spline regression basing on the N/LP ratio. AKI, acute kidney injury.
The incidence of AKI in various N/LP groups
According to the data presented in Table 2, the high N/LP group showed a significantly higher proportion of patients with AKI compared to the other groups (p < 0.001). Furthermore, as shown in Figure 3C, the proportion of AKI cases increased with higher N/LP ratios. The results of the multivariate logistic regression analysis, summarized in Figure 7, indicated that only the high N/LP group had a significantly increased risk of AKI compared to the low NLR group (HR 2.460; 95%CI: 1.496, 4.046), despite the fact that HR increased. Additionally, the cubic spline regression analysis demonstrated a clear association between an increased N/LP ratio and a higher risk of AKI occurrence (Figure 6C).
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Figure 7. Multivariate logistic regression analyses for AKI occurrence based on N/LP ratio; Model 1: univariate analysis; Model 2: adjusted for age, gender, hypertension, diabetes, intra-abdominal infection, genitourinary tract infection, WBC, potassium and lactate level; Model 3: adjusted for age, gender, BMI, hypertension, diabetes, coronary artery disease, gram-negative bacteria, intra-abdominal infection, genitourinary tract infection, bacteremia, WBC, potassium, sodium and lactate level. BMI, body mass index; WBC, white blood cell count; AKI, acute kidney injury.
Subgroup analysis
We conducted subgroup analyses to investigate the correlation between different N/LP ratios and the risk of 30 days or 60 days mortality in patients with sepsis in the ICU. The results are presented in Tables 3, 4. Interaction tests were conducted to examine the potential influence of age, gender, hypertension, diabetes, SOFA score, and AKI on the risk of mortality. However, these tests yielded non-significant results for both 30 days mortality (p = 0.154, 0.104, 0.055, 0.967, 0.907, and 0.990) and 60 days mortality (p = 0.279, 0.360, 0.117, 0.897, 0.508, and 0.761). Moreover, a subgroup analysis was performed to evaluate the association between N/LP ratios and the risk of AKI in septic patients. The results are presented in Supplementary Table S1. Similarly, interaction tests were conducted to assess the potential impact of age, gender, hypertension, diabetes, SOFA score, and lactate level on the risk of AKI. However, these tests also yielded non-significant results (p = 0.982, 0.110, 0.237, 0.779, 0.208, and 0.415). Nevertheless, we observed that higher N/LP ratios had a noticeable impact on male patients, older individuals, and those with poor health conditions.
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Table 3. Subgroup analysis regarding the influence of different N/LP ratios in the 30 days mortality.
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Table 4. Subgroup analysis regarding the influence of different N/LP ratios in the 60 days mortality.
ROC analysis of the predictive value of the N/LP ratio for 30/60 days mortality and incidence of AKI
We conducted AUC analyses to evaluate the predictive value of the N/LP ratio and other relevant indicators. The N/LP ratio exhibited a higher AUC (0.684, 95% CI: 0.650, 0.718) for predicting 30 days mortality, with a cut-off value of 11.49 (Figure 8A). In comparison, the AUC values for NLR, WBC, Neu, Lym, PLT, CRP, Alb, creatinine, glucose, BUN, uric acid, PCT, D-dimer, and lactate level were 0.641, 0.537, 0.548, 0.629, 0.621, 0.548, 0.559, 0.635, 0.530, 0.681, 0.631, 0.511, 0.621, and 0.675, respectively (Table 5). The sensitivity and specificity for predicting 30 days mortality using the N/LP ratio were 72.5 and 56.7%, respectively. Similarly, the N/LP ratio also demonstrated a higher AUC (0.687, 95% CI: 0.654, 0.719) for predicting 60 days mortality compared to the other indicators (Figure 8B). The AUC values for NLR, WBC, Neu, Lym, PLT, CRP, Alb, creatinine, glucose, BUN, uric acid, PCT, D-dimer, and lactate level were 0.652, 0.543, 0.557, 0.633, 0.608, 0.547, 0.569, 0.618, 0.540, 0.666, 0.596, 0.499, 0.617, and 0.676, respectively (Table 5). The ROC analysis identified a cut-off value of 11.83 for the N/LP ratio, with a sensitivity of 70.7% and specificity of 59.4% in predicting 60 days mortality. Furthermore, we found that the N/LP ratio was also predictive of the incidence of AKI, with an AUC value of 0.645 (95% CI: 0.611, 0.678) and a cut-off value of >25.99 (Figure 8C). The sensitivity and specificity for predicting AKI using the N/LP ratio were 39.5 and 82.3%, respectively (Supplementary Table S2).
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Figure 8. The predictive value of N/LP ratio for 30 days/60 days mortality and AKI occurrence by ROC analysis. (A) The predictive value of N/LP ratio for 30 days mortality by ROC analysis; (B) The predictive value of N/LP ratio for 60 days mortality by ROC analysis; (C) The predictive value of N/LP ratio for AKI occurrence by ROC analysis. ROC, receiver operating characteristic curve; AUC, area under curve; AKI, acute kidney injury.
Association between N/LP ratios and other secondary outcomes
Univariate analysis revealed that the high N/LP group was significantly associated with an increased risk of CRRT (p < 0.001), vasoactive drug usage (p < 0.001), longer ICU stay (p < 0.001), and higher ICU mortality rate (p < 0.001) when compared to the other groups (Table 2). After adjusting for confounding factors, such as age, sex, hypertension, diabetes, WBC, CRP, Alb, creatinine, BUN, uric acid, PCT, D-dimer, and lactate level, both the middle and high N/LP groups showed a greater risk of ICU mortality with a 2.451/3.830-fold increase (95%CI: 1.273, 4.718; 95%CI: 1.934, 7.585, respectively) compared to the low NLR group. In addition, only the high N/LP group exhibited a significantly increased risk of vasoactive drug usage (95%CI: 1.090, 4.435) and longer ICU stay (95%CI: 0.921, 3.457). However, the N/LP ratio was not found to be predictive of CRRT, invasive ventilation, or length of hospital stay (Table 6).
Discussion
In the present study, we had employed various methods to evaluate the association between N/LP ratios and adverse outcomes in sepsis patients. Our findings indicated that the initial N/LP ratio was an independent predictor of 30/60 days mortality and the incidence of AKI after ICU admission. Moreover, we observed that these impacts were more pronounced among male patients, older individuals, and those with a poor health status. Furthermore, we found that the initial N/LP ratio at ICU admission outperforms other biomarkers, such as NLP, WBC, Neu, Lym, PLT, CRP, Alb, creatinine, glucose, BUN, uric acid, PCT, D-dimer, and lactate, in predicting 30/60 days mortality. Additionally, we observed that N/LP measured at sepsis prognosis also exhibited good predictive power for AKI occurrence. Finally, a higher N/LP ratio was found to be strongly associated with disease severity in sepsis patients, including the need for vasoactive drugs, length of ICU stay, and ICU mortality.
Sepsis, a leading cause of serious complications and death in critically ill patients, poses challenges in terms of prevention (24). Early recognition of sepsis is crucial for timely intervention and improving prognosis. Recent evidence suggested that inflammatory response, neutrophil extracellular traps, inflammatory bodies, apoptosis, and endothelial cell dysfunction may be the underlying mechanisms responsible for sepsis development (12, 25–28). Sepsis triggers a systemic cytokine-chemokine response, leading to extensive activation and dysfunction of the immune system. This immune system dysregulation is often manifested as an increase in neutrophilia and decrease in lymphopenia (29). The NLR, calculated from whole blood counts, serves as a biomarker that reflects the interaction between the innate immune system (neutrophils) and adaptive immune system (lymphocytes) (20). Previous studies had highlighted the significance of the NLR in predicting outcomes for a range of inflammation-associated and physiological stress-induced diseases, such as COPD, cancer, and kidney diseases (30–32). Specifically, extensive research had been conducted on the correlation between NLR and adverse outcomes in community-acquired pneumonia (CAP) (33, 34). In the context of CAP, NLR had emerged as a powerful tool for predicting prolonged hospitalization, ICU admission, and even mortality. Notably, a study by Regolo et al. had investigated the association between NLR and adverse outcomes in COVID-19 patients (35, 36). Their findings underscored the importance of NLR as a significant predictor of disease progression and mortality in individuals affected by COVID-19. While there was evidence suggesting an association between NLR and mortality in sepsis patients, the relationship between NLR and clinical prognosis remained a topic of debate (37). In a study by Schupp et al., NLR was found to be a reliable diagnostic tool for identifying patients with sepsis, but no association with an increased risk of 30 days all-cause mortality was observed (38). Similarly, recent research had indicated that there was no relationship between NLR and patient outcomes in sepsis at ICU admission (39). These findings contradicted previous studies conducted on oncology patients with sepsis, where NLR showed promise as a prognostic marker (40).
One possible explanation for these conflicting results is the intricate interplay between immune dysregulation, inflammatory response, and coagulation dysfunction, leading to microvascular dysfunction, platelet activation, and microthrombosis, ultimately resulting in endothelial cell dysfunction (41, 42). To increase the sensitivity of predicting patient outcomes, platelet count has been incorporated into the ratio, given its close association with the inflammatory response and coagulation. Subsequently, Koo et al. developed a combined ratio of N/LP to predict its association with mortality after cardiovascular surgery (16). Additionally, numerous studies had validated the efficiency of a rising N/LP ratio as a predictor of in-hospital mortality in COVID-19 patients and those undergoing emergency surgery (14, 43). However, limited research had been conducted on the association between N/LP ratios and mortality in sepsis patients. In the present study, we found that an elevated N/LP ratio in sepsis patients was independently correlated with 30/60 days mortality. Moreover, the N/LP ratio at ICU admission outperformed traditional disease markers, such as NLP, WBC, Neu, Lym, PLT, CRP, Alb, creatinine, glucose, BUN, uric acid, PCT, D-dimer, and lactate level, in predicting mortality at 30 and 60 days. These findings suggested that early elevation of the N/LP ratio may serve as a potential predictor of short-term mortality in sepsis patients.
Sepsis is a condition characterized by a systemic inflammatory response to an infectious injury, which often leads to multiple organ dysfunction (44). AKI is a common and serious complication in sepsis patients, with an incidence as high as 50% and a mortality rate of 60 to 70% (45). However, the available treatment options for septic AKI are limited. Previous studies had suggested that traditional biomarkers such as serum creatinine concentrations and urine output were not ideal or reliable indicators for diagnosing septic AKI (46, 47). As a result, researchers had explored several novel biomarkers for early detection of septic AKI, including kidney injury molecule-1 (KIM-1), neutrophil gelatinase-related lipocalin (NGAL), liver-type fatty acid binding protein (L-FABP), tissue inhibitor of metalloproteinase 2 (TIMP2), and insulin-like growth factor binding protein 7 (IGFBP7) (48–52). However, most of these biomarkers still require external validation and further clinical investigation. In recent years, the N/LP ratio had emerged as an economically viable and widely available biomarker associated with kidney function (53). A recent retrospective study demonstrated a significant association between varying N/LP ratios and the occurrence of AKI following abdominal and cardiovascular surgery (15, 16). In our current study, we observed that elevated N/LP ratios in sepsis patients were associated with an increased risk of AKI occurrence, which was consistent with a previous report on AKI patients in the ICU (13). Furthermore, our study revealed that the initial N/LP ratio measured at ICU admission can serve as a predictive factor for the occurrence of AKI. These findings indicated that evaluating the N/LP ratio could potentially enable earlier diagnosis of AKI, which in turn may contribute to a reduction in AKI incidence.
In this study, we aimed to investigate the association between N/LP ratios and adverse outcomes. The severity of illness and risk of mortality in critically ill patients are commonly assessed using the SOFA score and APACHE II score (54, 55). Previous studies had consistently reported that high SOFA or APACHE II scores were independent predictors of poor prognosis in sepsis patients (56, 57). We performed correlation analyses to examine the relationship between N/LP ratios and SOFA score and APACHE II score, and our findings revealed a statistically significant positive correlation. In relation to in-hospital events, an elevated N/LP ratio at the time of ICU admission emerged as a valuable inflammatory marker for evaluating the need for vasoactive drugs, prolonged ICU stays, and the risk of ICU mortality in sepsis patients. These findings underscored the significance of the initial N/LP value upon ICU admission in facilitating the early identification of adverse outcomes. Consequently, it is crucial to provide timely intervention for patients with a high N/LP value to prevent further deterioration.
Strengths and limitations
Our study had several strengths. The study was one of the first to investigate the association between N/LP ratios and adverse outcomes in sepsis patients, contributing new knowledge to the field. Various regression models were used to analyze the effect of N/LP ratio on sepsis patients, increasing the robustness of the findings. The study utilized variables that were part of daily clinical practice, enhancing the generalizability of the results. The results were reliable and provide a foundation for clinical diagnosis and intervention in sepsis patients. However, this study had several limitations. First, the study was limited by its retrospective nature, which introduced the possibility of selection bias and affects the causal interpretation of the findings. Second, only the impact of the N/LP ratio on 30/60 days mortality and occurrence of AKI in sepsis patients was analyzed, limiting the scope of the study’s findings. Third, the lack of recorded prehospital interventions that could affect the N/LP ratio reduces the comprehensiveness of the analysis. Moreover, the study only examined the N/LP ratio within 24 h of ICU admission, failing to capture the dynamic changes in N/LP ratio over time in sepsis patients. Additionally, data of this study cannot be extrapolated all over the world because of race differences. Finally, due to the lack of some data regarding blood gas analyses, data on PaO2/FiO2 (P/F) were not shown, so deppriving the statistical analysis of an important variable extremely useful to assess the severity of respiratory failure. To further validate and strengthen the findings, it is recommended to design a large multicenter prospective study that addresses the limitations mentioned above. This would provide more robust evidence regarding the association between N/LP ratio and sepsis outcomes.
Conclusion
This retrospective study provided evidence that an elevated N/LP ratio at ICU admission was associated with a higher risk of 30/60 days mortality and the incidence of AKI in sepsis patients. The N/LP ratio showed potential as a useful biomarker for predicting these outcomes. Furthermore, the impact of N/LP ratio on outcomes appeared to be stronger in male patients, older individuals, and those with poorer health status. However, it is important to note that further research is needed to validate these findings, preferably through large-scale multicenter prospective studies.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the Affiliated Hospital of Jiangsu University (Approval No. KY2023K1007). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.
Author contributions
JZ: Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing. QZ: Conceptualization, Formal analysis, Writing – review & editing. ZH: Conceptualization, Formal analysis, Supervision, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2024.1351492/full#supplementary-material
References
1. Singer, M, Deutschman, CS, Seymour, CW, Shankar-Hari, M, Annane, D, and Bauer, M. The third international consensus definitions for Sepsis and septic shock (Sepsis-3). JAMA. (2016) 315:801–10. doi: 10.1001/jama.2016.0287
2. Rudd, KE, Johnson, SC, Agesa, KM, Shackelford, KA, Tsoi, D, and Kievlan, DR. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the global burden of disease study. Lancet. (2020) 395:200–11. doi: 10.1016/S0140-6736(19)32989-7
3. Xie, J, Wang, H, Kang, Y, Zhou, L, Liu, Z, and Qin, B. Chinese epidemiological study of Sepsis (CHESS) study investigators. The epidemiology of Sepsis in Chinese ICUs: a National Cross-Sectional Survey. Crit Care Med. (2020) 48:e209–18. doi: 10.1097/CCM.0000000000004155
4. Phua, J, Koh, Y, Du, B, Tang, YQ, Divatia, JV, and Tan, CC. MOSAICS study group. Management of severe sepsis in patients admitted to Asian intensive care units: prospective cohort study. BMJ. (2011) 342:d3245. doi: 10.1136/bmj.d3245
5. Fleischmann, C, Scherag, A, Adhikari, NK, Hartog, CS, Tsaganos, T, and Schlattmann, P. International forum of acute care Trialists. Assessment of global incidence and mortality of hospital-treated Sepsis. Current estimates and limitations. Am J Respir Crit Care Med. (2016) 193:259–72. doi: 10.1164/rccm.201504-0781OC
6. Gong, Y, Yan, X, Sun, X, Chen, T, Liu, Y, and Cao, J. Oncostatin M is a prognostic biomarker and inflammatory mediator for Sepsis. J Infect Dis. (2020) 221:1989–98. doi: 10.1093/infdis/jiaa009.
7. Gao, X, Liu, Y, Xu, F, Lin, S, Song, Z, and Duan, J. Assessment of apoptosis inhibitor of macrophage/CD5L as a biomarker to predict mortality in the critically ill with Sepsis. Chest. (2019) 156:696–705. doi: 10.1016/j.chest.2019.04.134
8. Tu, H, Lai, X, Li, J, Huang, L, Liu, Y, and Cao, J. Interleukin-26 is overexpressed in human sepsis and contributes to inflammation, organ injury, and mortality in murine sepsis. Crit Care. (2019) 23:290. doi: 10.1186/s13054-019-2574-7
9. Yan, X, Tu, H, Liu, Y, Chen, T, and Cao, J. Interleukin-17D aggravates sepsis by inhibiting macrophage phagocytosis. Crit Care Med. (2020) 48:e58–65. doi: 10.1097/CCM.0000000000004070
10. Wu, C, Ma, J, Yang, H, Zhang, J, Sun, C, and Lei, Y. Interleukin-37 as a biomarker of mortality risk in patients with sepsis. J Infect. (2021) 82:346–54. doi: 10.1016/j.jinf.2021.01.019
11. Buendgens, L, Yagmur, E, Bruensing, J, Herbers, U, Baeck, C, and Trautwein, C. Growth differentiation Factor-15 is a predictor of mortality in critically ill patients with Sepsis. Dis Markers. (2017) 2017:5271203. doi: 10.1155/2017/5271203
12. Jaramillo-Bustamante, JC, Piñeres-Olave, BE, and González-Dambrauskas, S. SIRS or not SIRS: is that the infection? A critical review of the sepsis definition criteria. Bol Med Hosp Infant Mex. (2020) 77:293–302. doi: 10.24875/BMHIM.20000202
13. Gameiro, J, Fonseca, JA, Jorge, S, Gouveia, J, and Lopes, JA. Neutrophil, lymphocyte and platelet ratio as a predictor of mortality in septic-acute kidney injury patients. Nefrologia. (2020) 40:461–8. doi: 10.1016/j.nefro.2019.11.006
14. Cakir Guney, B, Hayiroglu, M, Senocak, D, Cicek, V, Cinar, T, and Kaplan, M. Evaluation of N/LP ratio as a predictor of disease progression and mortality in COVID-19 patients admitted to the intensive care unit. Medeni Med J. (2021) 36:241–8. doi: 10.5222/MMJ.2021.95676
15. Gameiro, J, Fonseca, JA, Dias, JM, Milho, J, Rosa, R, Jorge, S, et al. Neutrophil, lymphocyte and platelet ratio as a predictor of postoperative acute kidney injury in major abdominal surgery. BMC Nephrol. (2018) 19:320. doi: 10.1186/s12882-018-1073-4
16. Koo, CH, Eun Jung, D, Park, YS, Bae, J, Cho, YJ, and Kim, WH. Neutrophil, lymphocyte, and platelet counts and acute kidney injury after cardiovascular surgery. J Cardiothorac Vasc Anesth. (2018) 32:212–22. doi: 10.1053/j.jvca.2017.08.033
17. Magrone, T, and Jirillo, E. Sepsis: from historical aspects to novel vistas. Pathogenic and therapeutic considerations. Endocr Metab Immune Disord Drug Targets. (2019) 19:490–502. doi: 10.2174/1871530319666181129112708
18. Huang, Z, Fu, Z, Huang, W, and Huang, K. Prognostic value of neutrophil-to-lymphocyte ratio in sepsis: a meta-analysis. Am J Emerg Med. (2020) 38:641–7. doi: 10.1016/j.ajem.2019.10.023
19. Drăgoescu, AN, Pădureanu, V, Stănculescu, AD, Chiuțu, LC, Tomescu, P, and Geormăneanu, C. Neutrophil to lymphocyte ratio (NLR)-a useful tool for the prognosis of sepsis in the ICU. Biomedicine. (2021) 10:75. doi: 10.3390/biomedicines10010075
20. Buonacera, A, Stancanelli, B, Colaci, M, and Malatino, L. Neutrophil to lymphocyte ratio: an emerging marker of the relationships between the immune system and diseases. Int J Mol Sci. (2022) 23:3636. doi: 10.3390/ijms23073636
21. Greco, E, Lupia, E, Bosco, O, Vizio, B, and Montrucchio, G. Platelets and multi-organ failure in Sepsis. Int J Mol Sci. (2017) 18:2200. doi: 10.3390/ijms18102200
22. Silva, AJD, Santos Lopes, ACD, Mota, APL, Silva, ACSE, Dusse, LMS, and Alpoim, PN. Pediatric chronic kidney disease: blood cell count indexes as inflammation markers. J Bras Nefrol. (2023) 45:458–69. doi: 10.1590/2175-8239-JBN-2022-0190en
23. Stevens, PE, and Levin, A. Kidney disease: improving global outcomes chronic kidney disease guideline development work group members. Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Ann Intern Med. (2013) 158:825–30. doi: 10.7326/0003-4819-158-11-201306040-00007
24. Liu, V, Escobar, GJ, Greene, JD, Soule, J, Whippy, A, and Angus, DC. Hospital deaths in patients with sepsis from 2 independent cohorts. JAMA. (2014) 312:90–2. doi: 10.1001/jama.2014.5804
25. Denning, NL, Aziz, M, Gurien, SD, and Wang, P. DAMPs and NETs in sepsis. Front Immunol. (2019) 10:2536. doi: 10.3389/fimmu.2019.02536
26. Hu, S, Pi, Q, Luo, M, Cheng, Z, Liang, X, and Luo, S. Contribution of the NLRP3/IL-1β axis to impaired vasodilation in sepsis through facilitation of eNOS proteolysis and the protective role of melatonin. Int Immunopharmacol. (2021) 93:107388. doi: 10.1016/j.intimp.2021.107388
27. Chen, CW, Bennion, KB, Swift, DA, Morrow, KN, Zhang, W, and Oami, T. Tumor-specific T cells exacerbate mortality and immune dysregulation during Sepsis. J Immunol. (2021) 206:2412–9. doi: 10.4049/jimmunol.2000865
28. Soderholm, AT, and Pedicord, VA. Intestinal epithelial cells: at the interface of the microbiota and mucosal immunity. Immunology. (2019) 158:267–80. doi: 10.1111/imm.13117
29. Heffernan, DS, Monaghan, SF, Thakkar, RK, Machan, JT, Cioffi, WG, and Ayala, A. Failure to normalize lymphopenia following trauma is associated with increased mortality, independent of the leukocytosis pattern. Crit Care. (2012) 16:R12. doi: 10.1186/cc11157
30. Paliogiannis, P, Fois, AG, Sotgia, S, Mangoni, AA, Zinellu, E, and Pirina, P. Neutrophil to lymphocyte ratio and clinical outcomes in COPD: recent evidence and future perspectives. Eur Respir Rev. (2018) 27:170113. doi: 10.1183/16000617.0113-2017
31. Yodying, H, Matsuda, A, Miyashita, M, Matsumoto, S, Sakurazawa, N, and Yamada, M. Prognostic significance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in oncologic outcomes of esophageal cancer: a systematic review and meta-analysis. Ann Surg Oncol. (2016) 23:646–54. doi: 10.1245/s10434-015-4869-5
32. Xue, L, Shi, Y, Zhang, J, Pan, Z, Yin, Q, and Xie, L. Correlations of peripheral blood neutrophil-lymphocyte ratio and lymphocyte-monocyte ratio with renal function and prognosis in patients with lupus nephritis. Am J Transl Res. (2022) 14:336–42.
33. de Jager, CP, Wever, PC, Gemen, EF, Kusters, R, van Gageldonk-Lafeber, AB, and van der Poll, T. The neutrophil-lymphocyte count ratio in patients with community-acquired pneumonia. PLoS One. (2012) 7:e46561. doi: 10.1371/journal.pone.0046561
34. Cataudella E, Giraffa CM, Di Marca S, Pulvirenti A, Alaimo S, Pisano M, et al. Neutrophil-to-lymphocyte ratio: an emerging marker predicting prognosis in elderly adults with community-acquired pneumonia. J Am Geriatr Soc. (2017) 65:1796–801. doi: 10.1111/jgs.14894
35. Regolo M, Vaccaro M, Sorce A, Stancanelli B, Colaci M, Natoli G, et al. Neutrophil-to-lymphocyte ratio (NLR) is a promising predictor of mortality and admission to intensive care unit of COVID-19 patients. J Clin Med. (2022) 11:2235. doi: 10.3390/jcm11082235
36. Regolo M, Sorce A, Vaccaro M, Colaci M, Stancanelli B, Natoli G, et al. Assessing humoral immuno-inflammatory pathways associated with respiratory failure in COVID-19 patients. J Clin Med. (2023) 12:4057. doi: 10.3390/jcm12124057
37. Wei, W, Huang, X, Yang, L, Li, J, Liu, C, and Pu, Y. Neutrophil-to-lymphocyte ratio as a prognostic marker of mortality and disease severity in septic acute kidney injury patients: a retrospective study. Int Immunopharmacol. (2023) 116:109778. doi: 10.1016/j.intimp.2023.109778
38. Schupp, T, Weidner, K, Rusnak, J, Jawhar, S, Forner, J, and Dulatahu, F. The neutrophil-to-lymphocyte-ratio as diagnostic and prognostic tool in sepsis and septic shock. Clin Lab. (2023) 69:220812. doi: 10.7754/Clin.Lab.2022.220812
39. Salciccioli, JD, Marshall, DC, Pimentel, MA, Santos, MD, Pollard, T, and Celi, LA. The association between the neutrophil-to-lymphocyte ratio and mortality in critical illness: an observational cohort study. Crit Care. (2015) 19:13. doi: 10.1186/s13054-014-0731-6
40. Zahorec, R . Ratio of neutrophil to lymphocyte counts--rapid and simple parameter of systemic inflammation and stress in critically ill. Bratisl Lek Listy. (2001) 102:5–14.
41. Shen, XF, Cao, K, Jiang, JP, Guan, WX, and Du, JF. Neutrophil dysregulation during sepsis: an overview and update. J Cell Mol Med. (2017) 21:1687–97. doi: 10.1111/jcmm.13112
42. Park, SY, Shrestha, S, Youn, YJ, Kim, JK, Kim, SY, and Kim, HJ. Autophagy primes neutrophils for neutrophil extracellular trap formation during sepsis. Am J Respir Crit Care Med. (2017) 196:577–89. doi: 10.1164/rccm.201603-0596OC
43. Chae, YJ, Lee, J, Park, JH, Han, DG, Ha, E, and Yi, IK. Late mortality prediction of neutrophil-to-lymphocyte and platelet ratio in patients with trauma who underwent emergency surgery: a retrospective study. J Surg Res. (2021) 267:755–61. doi: 10.1016/j.jss.2020.11.088
44. Mayr, FB, Yende, S, and Angus, DC. Epidemiology of severe sepsis. Virulence. (2014) 5:4–11. doi: 10.4161/viru.27372
45. Hoste, EA, Bagshaw, SM, Bellomo, R, Cely, CM, and Colman, R. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. (2015) 41:1411–23. doi: 10.1007/s00134-015-3934-7
46. Coca, SG, Yalavarthy, R, Concato, J, and Parikh, CR. Biomarkers for the diagnosis and risk stratification of acute kidney injury: a systematic review. Kidney Int. (2008) 73:1008–16. doi: 10.1038/sj.ki.5002729
47. Bianchi, NA, Stavart, LL, Altarelli, M, Kelevina, T, and Faouzi, M. Association of Oliguria with Acute Kidney Injury Diagnosis, severity assessment, and mortality among patients with critical illness. JAMA Netw Open. (2021) 4:e2133094. doi: 10.1001/jamanetworkopen.2021.33094
48. Tu, Y, Wang, H, Sun, R, Ni, Y, Ma, L, and Xv, F. Urinary netrin-1 and KIM-1 as early biomarkers for septic acute kidney injury. Ren Fail. (2014) 36:1559–63. doi: 10.3109/0886022X.2014.949764
49. Zhang, A, Cai, Y, Wang, PF, Qu, JN, Luo, ZC, and Chen, XD. Diagnosis and prognosis of neutrophil gelatinase-associated lipocalin for acute kidney injury with sepsis: a systematic review and meta-analysis. Crit Care. (2016) 20:41. doi: 10.1186/s13054-016-1212-x
50. Manrique-Caballero, CL, Del Rio-Pertuz, G, and Gomez, H. Sepsis-associated acute kidney injury. Crit Care Clin. (2021) 37:279–301. doi: 10.1016/j.ccc.2020.11.010
51. Kashani, K, Al-Khafaji, A, Ardiles, T, Artigas, A, and Bagshaw, SM. Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury. Crit Care. (2013) 17:R25. doi: 10.1186/cc12503
52. Honore, PM, Nguyen, HB, Gong, M, Chawla, LS, Bagshaw, SM, and Artigas, A. Sapphire and topaz investigators. Urinary tissue inhibitor of Metalloproteinase-2 and insulin-like growth factor-binding protein 7 for risk stratification of acute kidney injury in patients with sepsis. Crit Care Med. (2016) 44:1851–60. doi: 10.1097/CCM.0000000000001827
53. Vanmassenhove, J, Kielstein, J, Jörres, A, and Biesen, WV. Management of patients at risk of acute kidney injury. Lancet. (2017) 389:2139–51. doi: 10.1016/S0140-6736(17)31329-6
54. Godinjak, A, Iglica, A, Rama, A, Tančica, I, Jusufović, S, and Ajanović, A. Predictive value of SAPS II and APACHE II scoring systems for patient outcome in a medical intensive care unit. Acta Med Acad. (2016) 45:97–103. doi: 10.5644/ama2006-124.165
55. Basile-Filho, A, Lago, AF, Menegueti, MG, Nicolini, EA, Rodrigues, LAB, and Nunes, RS. The use of APACHE II, SOFA, SAPS 3, C-reactive protein/albumin ratio, and lactate to predict mortality of surgical critically ill patients: a retrospective cohort study. Medicine. (2019) 98:e16204. doi: 10.1097/MD.0000000000016204
56. Liu, Z, Meng, Z, Li, Y, Zhao, J, Wu, S, and Gou, S. Prognostic accuracy of the serum lactate level, the SOFA score and the qSOFA score for mortality among adults with Sepsis. Scand J Trauma Resusc Emerg Med. (2019) 27:51. doi: 10.1186/s13049-019-0609-3
Keywords: neutrophils to lymphocytes and platelets ratio, sepsis, acute kidney injury, biomarker, mortality
Citation: Zhang J, Zhao Q and Hu Z (2024) Clinical predictive value of the initial neutrophils to lymphocytes and platelets ratio for prognosis of sepsis patients in the intensive care unit: a retrospective study. Front. Med. 11:1351492. doi: 10.3389/fmed.2024.1351492
Edited by:
Sebastien Gibot, Centre Hospitalier Universitaire de Nancy, FranceReviewed by:
Andrea Glotta, Istituto Cardiocentro Ticino, SwitzerlandTobias Schupp, University of Heidelberg, Germany
Lorenzo Malatino, Cannizzaro Hospital, Italy
Copyright © 2024 Zhang, Zhao and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zhenkui Hu, huzhenkui@126.com