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ORIGINAL RESEARCH article

Front. Surg., 31 August 2022
Sec. Orthopedic Surgery

Identification of risk factors for 1-year mortality among critically ill older adults with hip fractures surgery: A single medical center retrospective study

\r\nTaijun LuoTaijun LuoJuxia ZhangJuxia ZhangHaibin ZhouHaibin ZhouTao XuTao XuWenchao Zhang
Wenchao Zhang*Geng Wang\r\nGeng Wang
  • Department of Anesthesiology, Beijing Jishuitan Hospital, Peking University Fourth School of Clinical Medicine, Beijing, China

Aim: The purpose of this study was to analyze the potential risk factors for mortality 1 year after hip fracture surgery in critically ill older adults.

Methods: We reviewed 591 critically ill older adults who underwent hip surgery at our institution from January 2018 to April 2021. We collected baseline demographics, clinical information, and 1-year survival status of the sample patients by means of medical record systems and follow-up phone calls. Patients were divided into survival and mortality groups based on survival within 1 year after surgery.

Results: Based on the results of the 1-year postoperative follow-up of patients, we obtained 117 cases in the death group and 474 cases in the survival group, and this led to a 1-year mortality rate of 19.8% (117/591) after hip fracture in critically ill older adults at our hospital. The risk factors that influenced the 1-year postoperative mortality were identified as advanced age (HR:1.04, 95%, 1.01–1.06), preoperative arrhythmia (HR: 1.95, 95%, 1.26–2.70), high level of NLR (HR:1.03, 95%, 1.01–1.06), respiratory failure (HR: 2.63, 95%, 1.32–5.23), and acute cardiovascular failure. 5.23) and acute cardiovascular events (HR: 1.65, 95%, 1.05–2.59).

Conclusion: Advanced age, preoperative arrhythmias, high levels of NLR, postoperative respiratory failure, and acute cardiovascular events were independent risk factors for survival of critically ill older adults with hip fracture at 1 year after surgery. Therefore, laboratory tests such as high levels of preoperative NLR can be an important indicator of patient prognosis.

Introduction

With the increasing aging of society, the number of hip fractures in older adults continues to reach record highs, imposing a heavy medical and economic burden on the entire society (1). Studies have shown that surgery is the preferred method for hip fractures. In recent years, rapid improvements in the type of surgery, anesthesia methods, and perioperative management have provided surgical opportunities for critical ill older adults with hip fractures. However, it has also been found that the 1-year mortality rate after hip fracture surgery is as high as 20% or even 30% (2, 3). In this regard, many researchers have studied the factors influencing the risk of death after hip fracture in the general older adults, but there are fewer prognostic studies related to critically ill patients with hip fracture (4, 5). To fill this academic gap, the aim of this study is to analyze the incidence of 1-year mortality after hip fracture surgery in critically ill older adults. We retrospectively collected clinical data from all critically ill older hip fracture patients who underwent surgical treatment at Beijing Jishuitan Hospital from January 2018 to April 2021. Using the patients' 1-year postoperative survival rate as an indicator, we determined the factors affecting the patients' 1-year postoperative mortality.

Methods

In 2018, our hospital established a joint management nursing ward for the older adults. The co-managed care team consists of orthopedic surgeons, emergency physicians, geriatricians, critical care physicians, anesthesiologists, nutritionists and physiotherapists who work together to provide diagnosis for both ordinary and critically ill older adults (6). Here, we defined patients who met the following criteria as critically ill older adults with hip fracture: (1) patients aged >85 years with multiple chronic diseases; (2) Patients with 2 or more comorbidities such as moderate to severe dementia, prolonged bed rest, cachexia, new myocardial infarction or cerebrovascular accident within 6 months, pulmonary disease combined with respiratory failure, cardiac arrhythmia with uncomfortable symptoms, stage 2–4 chronic renal insufficiency, chronic cardiac insufficiency NYHA ≥ II, severe anemia (Hb < 70 g/L) and other serious diseases; (3) Patients with unstable intraoperative conditions. For example, patients with unstable heart rate or blood pressure after admission to the operating room, high surgical blood loss, and significantly prolonged operative time. All critically ill older hip fracture patients who meet the above conditions should be transferred directly from the operating room to the ICU ward for observation after surgery.

This study involving human participants was reviewed and approved by the Institutional Review Board of Beijing Jishuitan Hospital. As this was a retrospective, anonymous data analysis, requirements regarding informed consent have been omitted here. All methods involved in the study were performed in accordance with relevant guidelines and protocols (7). Patients who underwent hip surgery at our hospital from January 2018 to April 2021 constituted our samples, whose inclusion criteria were (1) age ≥65 years; (2) fracture duration ≤21 days; (3) unilateral fracture; (4) low-energy injury; (5) critically ill older adults who had undergone hip surgery. Patient exclusion criteria were: (1) patients lacking relevant clinical information; (2) with old or pathological fractures; (3) high-energy injuries; (4) multiple trauma.

All data involved in the study were collected through electronic medical records and telephone follow-up. Through our electronic medical record system, we collected data on age, gender, BMI, ASA classification, co-morbidities, type of hip fracture, surgical waiting time, type of surgical operation, type of anesthesia, intraoperative adverse events, length of stay, preoperative creatinine, neutrophil/lymphocyte ratio (NLR), albumin, hemoglobin, c-reactive protein, NT- proBNP, perioperative period AKI [KDIGO guidelines diagnostic criteria (8)], delirium [diagnostic criteria (9)], pulmonary infection and circulatory complications. Also, during the study, the study investigators followed the patients by telephone 365 days after surgery.

Based on the follow-up results, patients were divided into survival and death groups. For continuous variables, the relevant data were expressed as mean ± standard deviation or median (interquartile range). For categorical variables, the relevant data were expressed as numbers (percentages). We compared all sample data between groups by using independent samples t-test or Mann-Whitney U-test for quantitative variables and chi-square test for categorical variables. In addition, the Kaplan-Meier method was used to perform analyses of patients' 1-year postoperative survival. Univariate and multivariate analyses were applied respectively in the analysis of independent risk factors for determining patients' mortality at 1 year after surgery. Of these, all variables with P < 0.05 in the univariate model were included in the multivariate model. Cox regression models were used for all patient survival analyses to compare outcomes between study groups and to identify predictors of patient postoperative mortality. The study was statistically analyzed using SPSS 24.0 software. All tests involved in the study were two-sided, and P < 0.05 was considered a statistically significant difference.

Results

A total of 641 critically ill older adults with hip fractures were enrolled in this study from January 2018 to April 2021, and the final number of patients included in the study statistics was 591. 50 cases were excluded as they did not meet the criteria, including 11 cases of old fractures, 1 case of multiple fractures, and 38 cases lost to follow-up. The follow-up results showed 117 patients in the death group and 474 patients in the survival group, with a mortality rate of 19.8% (117/591) at 1 year postoperatively. (As shown in Figure 1).

FIGURE 1
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Figure 1. CONSORT diagram.

The difference in age between the two groups was statistically significant (P < 0.05). Among them, preoperative chronic heart failure, arrhythmia, chronic kidney disease and Nottingham score were significantly higher in the death group than in the survival group (P < 0.05). In terms of laboratory tests, Scr, NLR, and NT-BNP were significantly higher in the death group than in the survival group (P < 0.05), and the use of general anesthesia was also significantly higher in the death group than in the survival group (P < 0.05) (see Table 1).

TABLE 1
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Table 1. Characteristics of hip fracture patients classified by survival status within 1 year.

Patients in the death group had higher rates of postoperative respiratory failure and acute cardiovascular events than patients in the survival group (P < 0.05); the number of patients requiring ventilator and mask to assist with breathing was greater in the death group than in the survival group (P < 0.05); also, patients in the death group had significantly longer ICU stays than those in the survival group (P < 0.05) (see Table 2).

TABLE 2
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Table 2. Postoperative complications and ICU interventions.

Kaplan-Meier survival curves are presented specifically in Figure 2, where Figure 2A clearly shows the lowest probability of survival for patients aged 86 years or older; in addition, from Figures 2B–E, we can see that patients without arrhythmias, acute cardiovascular events, respiratory failure, and low NLR levels have higher postoperative survival rates.

FIGURE 2
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Figure 2. The graphs depict Kaplan-Meier estimated 1-year survival. (A) 1-year mortality by age (P < 0.000); (B) 1-year mortality by arrhythmias (P < 0.000); (C) 1-year mortality by NLR level (P = 0.04); (D) 1-year mortality by acute cardiovascular events (P < 0.000); (E) 1-year mortality by respiratory failure (P < 0.000). ACHE, acute cardiovascular events; RF, respiratory failure.

Cox regression analysis models showed that advanced age, preoperative comorbid arrhythmias, postoperative respiratory failure, and acute cardiovascular events were risk factors affecting 1-year postoperative survival in critically ill older adults with hip fractures (see Table 3).

TABLE 3
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Table 3. Predictive factors for 1-year mortality among hip fracture patients: multivariate analysis.

Discussion

In this observational, single-center, retrospective cohort study, the 1-year mortality and loss to follow-up rates were 19.8% (117/591) and 6.0% (38/629), respectively. Using multifactorial Cox proportional risk regression analysis, we found that advanced age, preoperative arrhythmias, high levels of NLR, postoperative respiratory failure, and acute cardiovascular events were independent risk factors for survival at 1 year after surgery.

First, advanced age has long been a consensus as an independent risk factor affecting postoperative survival of hip fracture in the older (10, 11). Cui et al. (12) reported the 1-year mortality rate of hip fracture in older adult in China from 2000 to 2018, and they found that the mortality rate of patients was positively correlated with age, in which the 1-year mortality rate of hip fracture patients over 90 years old exceeded 23.4%. Since older people usually suffer from more comorbidities as well as problems of organ function decline and cannot effectively resist perioperative surgical and anesthetic stimuli, effective elimination of adverse perioperative stimuli can improve postoperative survival in the older (13).

Second, older adults heart is often associated with pathological changes such as myocardial hypertrophy, fibrosis, inflammation, and persistent stiffness (14), and the sinoatrial node and conduction system are often affected by pathological changes, which manifest clinically as bradyarrhythmia, tachyarrhythmias, or tachycardia-bradycardia syndrome. Several studies have shown that bradyarrhythmia, tachyarrhythmias, or tachycardia-bradycardia syndrome are associated with higher postoperative mortality (1517). Adunsky et al. (18) found that older adults with hip fractures combined with atrial fibrillation had a 1-fold increase in mortality at 1 year postoperatively (mean age 82.4 years) compared with patients without atrial fibrillation; Frenkel et al. (19) investigated 701 older hip fracture patients and showed a mean survival of 201 days in patients with atrial fibrillation and 377 days in patients without atrial fibrillation; in addition, Härstedt et al. (20) found that pathological bradycardia became an independent risk factor for medium- and long-term survival in older adults with hip fracture (mean age 82.6 years). Preoperative comorbid arrhythmias were found to be an independent risk factor for 1-year survival in critically ill older adults with hip fracture by our multivariate Cox proportional risk regression analysis. The 1-year mortality rate of hip fracture patients with combined arrhythmias was 1.95 times higher than that of patients without arrhythmias. Therefore, patients with arrhythmias should be evaluated preoperatively in a comprehensive manner to reduce the impact of adverse factors such as perioperative pain, anemia, and volume overload. Also, our study showed that postoperative acute cardiovascular events were associated with a 1.65-fold increase in 1-year mortality (95 CI, 1.05–2.59). Thus, comprehensive preoperative evaluation of patients with arrhythmias can also be effective in preventing the exacerbation or worsening of arrhythmias and reduce the incidence of acute postoperative cardiovascular events.

The occurrence of perioperative respiratory failure is also an important risk factor affecting the prognosis of hip fracture in older adults (age >65 years) (4). The main causes of respiratory failure in older adults are the following: First, with age, degenerative physiological changes occur in lung compliance, respiratory mucosa, cilia movement, lung volume, and respiratory rate in older adults (21). With the gradual decline of systemic immunity, the respiratory tract is susceptible to bacterial and viral attack, leading to lung infection and, in serious cases, respiratory failure; Second, stimuli such as trauma and pain can cause a state of systemic stress, leading to increased oxygen consumption and increased work done by respiratory muscles, which may develop into respiratory muscle weakness and respiratory failure (22); Finally, respiratory failure can also occur in older adults with pre-existing conditions in response to traumatic stimuli. Chen et al. (23) found that older hip fracture patients (67–83 years) with hypertension, obstructive lung disease, bronchiectasis, and a history of respiratory failure were significantly more likely to develop respiratory failure postoperatively. Wang et al. (24) followed 144 patients (90–97 years) with intertrochanteric fractures and showed that the development of postoperative respiratory failure was an independent risk factor for survival for 1–2 years after surgery. In addition, our study also found that the occurrence of respiratory failure in the perioperative period was an important risk factor for survival at 1 year after surgery. Patients who developed respiratory failure had a 1.95-fold higher mortality rate at 1 year than those who did not develop respiratory failure (95 CI, 1.26–2.70). Therefore, reducing the occurrence of perioperative respiratory failure is beneficial in reducing postoperative mortality.

Recent studies have shown NLR to be a potential marker for predicting mortality in older adults in different clinical settings (25, 26). Vaughan-Shaw et al. (27) found NLR to be a good predictor of 30-day mortality, 6-month mortality, and 1-year mortality after emergency abdominal surgery in the older adults(80–95 years). Forget et al. (28) showed that NLR on postoperative day 5 was a risk factor for postoperative mortality and cardiovascular complications in older hip fracture patients (mean age 85 years, age range: 66–102). In a study, Chen et al (29) found that higher preoperative and postoperative NLR was associated with a higher risk of long-term mortality after hip surgery in older patients equal to or more than 65 years of age. Our findings also suggest that high preoperative NLR increases mortality within 1 year postoperatively. Therefore, we need to pay more attention to the prevention of acute adverse events in patients with high perioperative NLR levels. The reduction of NLR has an important impact in reducing inflammatory status and improving immune responsiveness in critically ill older hip fracture patients. Therefore, clinicians can individualize patient interventions, such as preoperative analgesia, statins, or aspirin, depending on NLR levels.

In reviewing the entire study, we still have many limitations. First, although we performed postoperative follow-up with our patients, many families kept the cause of postoperative death confidential or could not describe it accurately, preventing us from conducting an in-depth summary and analysis of the causes of postoperative death; second, as a single-center retrospective study with a moderate sample size, it was not yet possible to adequately compare the effects of anesthesia type and ICU intervention on postoperative survival time in critically ill older hip fracture patients.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author/s.

Author contributions

Each author has made an important scientific contribution to the study and is thoroughly familiar with the primary data. All authors listed have read the complete manuscript and have approved submission of the paper. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by Beijing Jishuitan Hospital Elite Young Scholar Programme [XKGG202116], and Beijing Municipal Administration of Hospitals Incubating Program [PY2021019].

Acknowledgments

The authors thank all the medical staff in the Department of Anesthesiology, Traumatic Orthopedics, and ICU in Beijing Jishuitan Hospital for their support to this clinical trial.

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.

References

1. Zhang C, Feng J, Wang S, Gao P, Xu L, Zhu J, et al. Incidence of and trends in hip fracture among adults in urban China: a nationwide retrospective cohort study. PLoS Med. (2020) 17(8):e1003180. doi: 10.1371/journal.pmed.1003180

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Lund CA, Moller AM, Wetterslev J, Lundstrom LH. Organizational factors and long-term mortality after hip fracture surgery. A cohort study of 6143 consecutive patients undergoing hip fracture surgery. PLoS One. (2014) 9(6):e99308. doi: 10.1371/journal.pone.0099308

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Sheehan KJ, Sobolev B, Guy P. Mortality by timing of hip fracture surgery: factors and relationships at play. J Bone Joint Surg Am. (2017) 99(20):e106. doi: 10.2106/JBJS.17.00069

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Barcelo M, Torres OH, Mascaro J, Casademont J. Hip fracture and mortality: study of specific causes of death and risk factors. Arch Osteoporos. (2021) 16(1):15. doi: 10.1007/s11657-020-00873-7

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Dobre R, Niculescu DA, Cirstoiu C, Popescu G, Poiana C. Mortality rates and risk factors after low-trauma hip fracture in the largest university center in Romania. Arch Osteoporos. (2021) 16(1):64. doi: 10.1007/s11657-021-00934-5

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Zhang J, Yang M, Zhang X, He J, Wen L, Wang X, et al. The effectiveness of a co-management care model on older hip fracture patients in China—a multicentre non-randomised controlled study. Lancet Reg Health West Pac. (2022) 19:100348. doi: 10.1016/j.lanwpc.2021.100348

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Vandenbroucke JP, von Elm E, Altman DG, Gøtzsche PC, Mulrow CD, Pocock SJ, et al. Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration. Int J Surg. (2014) 12(12):1500–24. doi: 10.1016/j.ijsu.2014.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. (2009) 150(9):604–12. doi: 10.7326/0003-4819-150-9-200905050-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Oh ES, Fong TG, Hshieh TT, Inouye SK. Delirium in older adults: diagnosis, prevention, and treatment. JAMA. (2017) 318(12):1161–74. doi: 10.1001/jama.2017.12067

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Kim JW, Kim DH, Jang EC, Lee YK, Koo KH, Ha YC. Mortality and its risk factors in nonagenarians after hip fractures. J Orthop Sci. (2019) 24(5):850–4. doi: 10.1016/j.jos.2019.02.019

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Chen X, Zhang J, Lin Y, Liu Z, Sun T, Wang X. Risk factors for postoperative mortality at 30 days in elderly Chinese patients with hip fractures. Osteoporos Int. (2022) 33(5):1109–16. doi: 10.1007/s00198-021-06257-y

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Cui Z, Feng H, Meng X, Zhuang S, Liu Z, Ye K, et al. Age-specific 1-year mortality rates after hip fracture based on the populations in mainland China between the years 2000 and 2018: a systematic analysis. Arch Osteoporos. (2019) 14(1):55. doi: 10.1007/s11657-019-0604-3

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Soffin EM, Gibbons MM, Wick EC, Kates SL, Cannesson M, Scott MJ, et al. Evidence review conducted for the agency for healthcare research and quality safety program for improving surgical care and recovery: focus on anesthesiology for hip fracture surgery. Anesth Analg. (2019) 128(6):1107–17. doi: 10.1213/ANE.0000000000003925

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Ruiz-Meana M, Bou-Teen D, Ferdinandy P, Gyongyosi M, Pesce M, Perrino C, et al. Cardiomyocyte ageing and cardioprotection: consensus document from the ESC working groups cell biology of the heart and myocardial function. Cardiovasc Res. (2020) 116(11):1835–49. doi: 10.1093/cvr/cvaa132

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Foex P, Higham H. Preoperative fast heart rate: a harbinger of perioperative adverse cardiac events. Br J Anaesth. (2016) 117(3):271–4. doi: 10.1093/bja/aew265

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Abu-Assi R, Campbell J, Bacchi S, Gill TK, George D, Chehade M. Association between atrial fibrillation and hip fractures and the implications for hip fracture patients: a systematic review. ANZ J Surg. (2020) 90(4):448–53. doi: 10.1111/ans.15460

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Kumar P, Kusumoto FM, Goldschlager N. Bradyarrhythmias in the elderly. Aging Clin Exp Res. (2012) 24(3):233–8. doi: 10.1007/BF03325251

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Adunsky A, Arad M, Koren-Morag N, Fleissig Y, Mizrahi EH. Increased 1-year mortality rates among elderly hip fracture patients with atrial fibrillation. Clin Geriatr Med. (2012) 28(4):703–15. doi: 10.1016/j.cger.2012.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Frenkel A, Zeldetz V, Gat R, Binyamin Y, Acker A, Frenkel M, et al. Atrial fibrillation and mortality in the oldest old after surgery for hip fractures. Gerontology. (2021) 67(3):299–305. doi: 10.1159/000513450.

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Harstedt M, Rogmark C, Sutton R, Melander O, Fedorowski A. Impact of comorbidity on 6-month hospital readmission and mortality after hip fracture surgery. Injury. (2015) 46(4):713–8. doi: 10.1016/j.injury.2014.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Wang L, Balmat TJ, Antonia AL, Constantine FJ, Henao R, Burke TW, et al. An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility. Genome Med. (2021) 13(1):83. doi: 10.1186/s13073-021-00904-z

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Sprung J, Gajic O, Warner DO. Review article: age related alterations in respiratory function—anesthetic considerations. Can J Anaesth. (2006) 53(12):1244–57. doi: 10.1007/BF03021586

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Chen J, Tian Z, Zhang H, Shi L, Bao W, Huang T, et al. Risks of postoperative respiratory failure in elderly patients after hip surgery: a retrospective study. J Orthop Surg Res. (2022) 17(1):140. doi: 10.1186/s13018-022-02909-9

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Wang T, Guo J, Long Y, Hou Z. Incidence and risk factors of mortality in nonagenarians and centenarians after intertrochanteric fracture: 2-year follow-up. Clin Interv Aging. (2022) 17:369–81. doi: 10.2147/CIA.S360037

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Katipoglu B, Naharci MI. Could neutrophil-to-lymphocyte ratio predict mortality in community-dwelling older people with delirium superimposed on dementia? Aging Clin Exp Res. (2022) 34(8):1819–26. doi: 10.1007/s40520-022-02108-w

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Temiz A, Ersozlu S. Admission neutrophil-to-lymphocyte ratio and postoperative mortality in elderly patients with hip fracture. Ulus Travma Acil Cerrahi Derg. (2019) 25(1):71–4. doi: 10.5505/tjtes.2018.94572

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Vaughan-Shaw PG, Rees JR, King AT. Neutrophil lymphocyte ratio in outcome prediction after emergency abdominal surgery in the elderly. Int J Surg. (2012) 10(3):157–62. doi: 10.1016/j.ijsu.2012.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Forget P, Moreau N, Engel H, Cornu O, Boland B, De Kock M, et al. The neutrophil-to-lymphocyte ratio (NLR) after surgery for hip fracture (HF). Arch Gerontol Geriatr. (2015) 60(2):366–71. doi: 10.1016/j.archger.2014.11.008

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Chen YH, Chou CH, Su HH, Tsai YT, Chiang MH, Kuo YJ, et al. Correlation between neutrophil-to-lymphocyte ratio and postoperative mortality in elderly patients with hip fracture: a meta-analysis. J Orthop Surg Res. (2021) 16(1):681. doi: 10.1186/s13018-021-02831-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: hip fracture surgery, mortality, NLR, arrhythmia, respiratory failure, older adults

Citation: Luo T, Zhang J, Zhou H, Xu T, Zhang W and Wang G (2022) Identification of risk factors for 1-year mortality among critically ill older adults with hip fractures surgery: A single medical center retrospective study. Front. Surg. 9:973059. doi: 10.3389/fsurg.2022.973059

Received: 19 June 2022; Accepted: 15 August 2022;
Published: 31 August 2022.

Edited by:

William F. Lavelle, Upstate Medical University, United States

Reviewed by:

Biagio Zampogna, Policlinico Universitario Campus Bio-Medico, Italy
Bilal Katipoglu, Gulhane Training and Research Hospital, Turkey

© 2022 Luo, Zhang, Zhou, Xu, Zhang and Wang. 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: Wenchao Zhang anN0bXprX3RnQDEyNi5jb20=

Specialty Section: This article was submitted to Orthopedic Surgery, a section of the journal Frontiers in Surgery

Disclaimer: 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.