Skip to main content

BRIEF RESEARCH REPORT article

Front. Epidemiol., 17 July 2023
Sec. Cardiovascular Epidemiology
This article is part of the Research Topic Women In Cardiovascular Epidemiology View all 4 articles

Undiagnosed cardiovascular risk factors including elevated lipoprotein(a) in patients with ischaemic heart disease

\r\nFionn ChuaFionn Chua1Audrey LamAudrey Lam2Ying Hui MakYing Hui Mak2Zhong Hui LeeZhong Hui Lee2Lily Mae DacayLily Mae Dacay3Jie Lin YewJie Lin Yew3Troy PuarTroy Puar3Joan KhooJoan Khoo3Weien ChowWeien Chow4Vern Hsen TanVern Hsen Tan4Khim Leng TongKhim Leng Tong4Boon Wah LiewBoon Wah Liew4Colin YeoColin Yeo4Wann Jia Loh,
\r\nWann Jia Loh3,5*
  • 1Dietetics Department, Changi General Hospital, Singapore, Singapore
  • 2Department of Pharmacy, Changi General Hospital, Singapore, Singapore
  • 3Department of Endocrinology, Changi General Hospital, Singapore, Singapore
  • 4Department of Cardiology, Changi General Hospital, Singapore, Singapore
  • 5Duke-NUS Medical School, Singapore, Singapore

Objectives: This study aims to investigate the prevalence of undiagnosed cardiovascular risk factors in patients with ischaemic heart disease (IHD).

Methods: We assessed the prevalence of previously undiagnosed cardiovascular risk factors, including elevated lipoprotein(a) [Lp(a)], among consenting patients with IHD who were admitted to hospital. Clinical information, including dietary history, from patients with newly diagnosed IHD and known IHD were compared.

Results: Of the 555 patients, 82.3% were males and 48.5% of Chinese ethnicity. Overall, 13.3% were newly diagnosed with hypertension, 14.8% with hypercholesterolemia, and 5% with type 2 diabetes (T2DM). Patients with newly diagnosed IHD, compared to those with known IHD, had a higher prevalence of new diagnoses of hypercholesterolemia (29.1% vs. 2.0%, p < 0.001), hypertension (24.5% vs. 3.4%, p < 0.001) and T2DM (7.3% vs. 3.1%, p = 0.023). Active smoking was prevalent in 28.3% of patients, and higher in newly diagnosed IHD (34.1% vs. 23.2%, p = 0.005). Elevated Lp(a) of ≥120 nmol/L was detected in 15.6% of all patients, none of whom were previously diagnosed. Dietary habits of >50% of patients in both groups did not meet national recommendations for fruits, vegetables, wholegrain and oily fish intake. However, patients with known IHD had a more regular omega-3 supplement intake (23.4% vs. 10.3%, p = 0.024).

Conclusion: Increased detection efforts is necessary to diagnose chronic metabolic diseases (hypertension, hypercholesterolemia, T2DM) especially among patients at high risk for IHD. Cardiovascular risk factors, in particular elevated Lp(a), smoking, and suboptimal dietary intake in patients with IHD deserve further attention.

Introduction

Ischaemic heart disease (IHD) is a major cause of mortality and morbidity worldwide, accounting for 20.1% of all mortality in Singapore (1, 2). There were 11,631 reported cases of AMI in Singapore in the year 2020 alone (3). Risk factors for IHD include type 2 diabetes (T2DM), hypertension, hypercholesterolemia, obesity, smoking, alcohol consumption, physical inactivity and poor dietary habits (4). Another important cardiovascular risk factor is elevated lipoprotein(a) [Lp(a)] concentration. Recent studies and guidelines have highlighted that elevated Lp(a) is a prevalent causal risk factor for atherosclerotic cardiovascular disease (ASCVD) in the general population, which increases severity of ASCVD among patients with ASCVD (57). Multiple international guidelines have now recommended that Lp(a) be measured in all patients with ASCVD (57). However, elevated Lp(a) in patients with ASCVD remains underdiagnosed worldwide (8) and Lp(a) is not routinely measured locally.

The recent national population health survey (2019–2020) reported that the prevalence of T2DM, hypertension and hypercholesterolaemia had increased in recent years, with a current estimated prevalence of 9.5%, 35.5%, and 29.1% respectively (9). The increased prevalence may be partially contributed by the increased efforts, at the national level, in population screening for these cardiovascular risk factors e.g., Screen for Life and BEAT diabetes campaign (10). However, we observed from our clinical practice, that many patients were unaware of their co-existing metabolic comorbidities at the time of IHD diagnosis. Hence, this study aims to investigate whether the prevalence of cardiovascular risk factors, particularly those that are undiagnosed, is common among patients with known and newly diagnosed IHD.

Methods

Patients with IHD who were admitted to Changi General Hospital (CGH) cardiology wards from 25th June 2020 to 31st December 2020 were recruited in our prospective study and consented for study participation. CGH is a 1,000-bed hospital in eastern Singapore serving more than a million people. There are approximately 1,000 patients per year admitted to cardiology wards for acute myocardial infarction. A total of 555 patients with IHD who were admitted to the hospital were recruited to the study. Among the eligible patients approached by us, there were 409 patients who declined to participate, and 318 patients were discharged before they could be recruited. Exclusion criteria for patient recruitment included lack of mental capacity and critically ill (e.g., cancer). This study was approved by our hospital ethics board.

All study participants were interviewed for comorbidities, smoking and alcohol history. From the electronic medical records, patient demographics, blood lipid profile, medications, co-morbidities, and dietary history were recorded. Obesity was defined as body mass index (BMI) ≥ 27.5 kg/m², as this is the cut-off point for obesity in Asians (10). Hypercholesterolemia was defined as highest ever low-density lipoprotein cholesterol concentration (LDL-C) ≥ 3.4 mmol/L (11). Newly diagnosed hypercholesterolemia was defined as patients with elevated LDL-C and without a past medical history of hypercholesterolaemia or hyperlipidaemia, or without the use of lipid lowering therapy. In patients who were already on statins, a correction factor was applied to LDL-C readings when pre-statin LDL was not available (12). Hyper-Lp(a) was defined as elevated Lp(a) levels of ≥120 nmol/L (5, 13).

The definition of healthy eating was as defined by the national healthy eating guidelines (14); (a) daily consumption of wholegrains, 2 serves of fruit and 2 serves of vegetables, (b) intake of eggs kept to a maximum of 3 per week, (c) consumption of oily fish at least twice a week. Low alcohol intake was defined as ≤1 standard drink per day for women and ≤2 standard drinks per day for men (14). Patients who were offered inpatient dietitian review had their diet history collected from the electronic medical records. As a dietitian referral is not compulsory for all patients in our study group, not all patients had been seen by a dietitian before, and some had missing fields in the diet record. Hence, the diet history for consumption of eggs, vegetables, fruits and wholegrain were available for approximately half of the group with known IHD and 60%–80% of the group with newly diagnosed IHD. The diet history for consumption of oily fish and omega-3 were available in approximately 30% of the group with known IHD and 45% of the group with newly diagnosed IHD.

Blood tests were taken and measured for plasma Lp(a) using particle-enhanced turbidimetric immunoassay with Tina-quant Lipoprotein(a) Gen.2 (Latex) Roche, and inter-assay coefficient of variation (CV) were ≤2.2%. Using an enzymatic colorimetry Roche Cobas c702 analyzer, the total cholesterol, high density lipoprotein cholesterol (HDL-C), direct LDL-C, and triglyceride levels were measured, and the inter-assay CVs were <1.5%. Variables were compared using Chi-square test for categorical data, results presented as %(n), and Mann-Whitney U test for continuous data, results presented as median (interquartile range). SPSS version 29.0 (IBM Corp., Armonk, United States) was used for statistical analyses. P value of <0.05 was taken as statistically significant.

Results

Among the 555 study participants, 53% were known to have IHD, and 47% were newly diagnosed IHD. 82.3% were of male gender, and 48.5% were of Chinese ethnicity. The median BMI was 25.1 kg/m2, with 30.6% of study participants being obese (BMI ≥ 27.5 kg/m2). Patients with known IHD were generally older than patients with newly diagnosed IHD, with a median age of 67 years vs. 60 years old (p < 0.001). Overall, 13.3% of patients were newly diagnosed with hypertension, and 5% with T2DM. There was a significantly higher prevalence of newly diagnosed hypertension (24.5% vs. 3.4%, p < 0.001) and T2DM (7.3% vs. 3.1%, p = 0.023) in the group with newly diagnosed IHD compared to the group with known IHD. The prevalence of newly diagnosed hypercholesterolaemia with LDL-C ≥ 3.4 mmol/L was also significantly higher in patients with newly diagnosed IHD (29.1% vs. 2.0%, p < 0.001). Table 1 shows the comparison of these baseline characteristics of study participants between the 2 groups.

TABLE 1
www.frontiersin.org

Table 1. Baseline characteristics of study participants, comparing patients with known IHD and newly diagnosed IHD.

Elevated Lp(a) ≥ 120 nmol/L was present in 15.6% of all patients, with a median Lp(a) level of 35.2 nmol/L, no significant difference between the 2 groups. None of the study participants had previously had their Lp(a) level checked prior to this study. The prevalence of active smoking was 28.3% while ex-smokers were 22.6% among all the patients in this study. There were significantly more active smokers in the newly diagnosed IHD group compared to those with known IHD (34.1% vs. 23.2%, p = 0.005). The median total cholesterol (4.52 mmol/L vs. 3.6 mmol/L, p < 0.001) and direct LDL-C (3.08 mmol/L vs. 2.00 mmol/L, p < 0.001) were higher in the group of patients with newly diagnosed IHD compared to those with known IHD, reflecting the increased use of statin in patients with known IHD. Table 1 shows the laboratory diagnostic readings of study participants.

Overall, the dietary habits of >50% of patients whose diet histories were available did not meet national recommendations for fruits, vegetables, wholegrains, and oily fish intake. Dietary intake of study participants is shown in Table 2. Only ∼10% of patients took 2 serves of fruit daily, 20%–30% took 2 serves of vegetables daily, and ∼33% were wholegrain eaters. Majority of patients consumed alcohol within national guideline limits. The group with known IHD consumed significantly more regular omega-3 supplement intake than the group with newly diagnosed IHD (23.4% vs. 10.3%, p = 0.024), although there was no difference in oily fish intake. There was also no statistically significant difference in the percentage of patients meeting the recommended intake for eggs, vegetables, fruit, and wholegrains, between both groups.

TABLE 2
www.frontiersin.org

Table 2. Dietary intake of study participants.

Discussion

Our study identified multiple important cardiovascular risk factors worthy to be considered for potential intervention to prevent ASCVD onset or progression in high-risk individuals. Firstly, we found that many patients with newly diagnosed IHD were previously not formally diagnosed or previously unaware of the diagnoses of these major cardiovascular comorbidities, namely hypertension, T2DM, hypercholesterolaemia, and hyper-Lp(a). As atherosclerosis requires years of exposure to risk factors, it is likely that these comorbidities could have been diagnosed years earlier through health screening (10, 15). Secondly, we report that none of the patients had previously had their Lp(a) level checked, and we identified 15.6% of patients with hyper-Lp(a). Individuals with elevated Lp(a) are at increased lifetime risk of ASCVD, with very elevated Lp(a) level of >430 nmol/L conferring the same risk for premature ASCVD as those with heterozygous familial hypercholesterolemia (7, 16). Despite recommendations by recent international guidelines that all ASCVD patients should have Lp(a) tested (13, 1619) and that it is easily measurable by a blood test that does not require fasting, Lp(a) is currently not being routinely tested in Singapore. Similarly, other studies also report that elevated Lp(a) in patients with ASCVD remains underdiagnosed worldwide, despite calls by international guidelines (8). Moreover, the European and other guidelines have recommended for Lp(a) to be tested at least once during each adult's lifetime (8, 16). Current recommendations for hyper-Lp(a) includes adopting healthy lifestyle modifications, and/or pharmacological treatment to target these modifiable cardiovascular risk factors, and intensifying LDL-C targets (68, 1619). Thirdly, our study showed that the lifestyle factors of smoking and good dietary habits were suboptimal in a significant number of patients.

Our observations, that a significant proportion of patients had previously undiagnosed T2DM, hypertension and hypercholesterolemia, supports the purpose of national efforts in population screening, with the aim for earlier diagnosis and management plans to prevent ASCVD events and mortality (20). This has implications in reduction of healthcare costs, hospitalisations, and burden of disease (20). The National Population Health Survey reported that approximately half of all residents with hypercholesterolemia (54.5%) and hypertension (52.4%) diagnosed from 2019 to 2020 were newly diagnosed (9). This exceptionally high prevalence of newly diagnosed hypertension and hypercholesterolemia likely reflects a delayed diagnosis of patients who were unaware of these comorbidities and were diagnosed as a result of the recent increase in population health screening efforts.

The underdiagnosis of major cardiovascular comorbidities have also been identified as a suboptimal medical care in other real-world studies (21, 22). In a United Kingdom study of 466 patients, 51% of patients with IHD did not have any prior cholesterol measurement done (21). In another study of 142,042 patients, it is estimated that at least half of the patients with hypertension are unaware that they have hypertension. Reasons for these include the lack of patients' awareness to undergo health screening and possibly inaccurate blood pressure measurements leading to underdiagnosis (15). Although we did not formally quantify this in our study, our experience during study recruitment revealed similar notions. Reasons provided by patients included that they were unaware of the need to undergo health screening for decades because they felt well. Many were also unaware about the national screening programme available at 40 years old, or earlier in presence of additional risk factors or family history, as per Ministry of Health clinical practice guidelines (23, 24). Other possible reasons included missed opportunities when they went to see a doctor for unrelated conditions. This reduced awareness may also occur at the healthcare system level. A population based study of 52,856 individuals in Norway showed that individuals with undiagnosed diabetes had a less favourable cardiovascular risk profile compared with individuals with known diabetes, which highlights the importance of improving detection strategies (25).

The National Nutrition Survey reported that Singaporean residents on average ate 1 serve of fruit and 2 serves of vegetables daily (26). However, our study population group fared worse, with only ∼10% meeting daily fruit recommendations and ∼20%–30% meeting vegetable recommendations. About 33% of our study population consumed regular wholegrains, compared to ∼6% of residents nationally (26). In general, more than half of the patients with diet history data were not meeting dietary recommendations. Smoking is another lifestyle risk factor that deserves more attention in these patients at very high risk for ASCVD. Compared with other risk factors such as dietary habits, physical activity, alcohol consumption, and obesity, it is smoking that had the strongest association with mortality (27). Importantly, the goal should be for complete smoking cessation, because smoking cessation, not smoking reduction, is the factor that reduces incidence of ASCVD (28). Singapore's “I Quit” national smoking cessation programme, introduced in 2011, reduced the smoking prevalence from 11.8% (year 2017) to 10.1% (year 2020) (29). With the aim to reduce the smoking rate to 5% by 2035, a new smoking cessation programme to subsidise nicotine replacement therapy alongside counselling in public health institutions will be organised by the Health Promotion Board (29). Singapore has also progressively increased the minimum legal age for smoking to 21 years old in 2021 (29). While this may not impact this study group, it has reduced smoking among younger adults aged 18–29 years, from 9.8% in year 2017 to 8.8% in year 2020 (29). The prevalence of active smoking in our study group of IHD patients was particularly high at 28.3%, more so in the newly diagnosed IHD group (34.1%) compared to the known IHD group (23.2%). Since the prevalence of active smoking in our study group was more than double the reported national smoking prevalence of 10.1% (29), this suggests that smoking cessation programmes targeting these patient populations would potentially be of cost benefit.

The limitation of our study was that this was a cross-sectional analysis. Our study was initiated about 5–6 months after COVID-19 outbreak and after a 1-month nationwide lockdown from April to May 2020. This movement restriction and the fear of the rise in cases (30) could have affected our residents' diet, lifestyle, and potentially delayed health screening and doctor visits too, as demonstrated by studies in Hong Kong and Singapore (3133). A local study showed that doctor visits decreased by 30% and the probability of diagnosing chronic diseases decreased by 19% in that year of COVID-19 outbreak (31). While it is possible that the COVID-19 movement restrictions could have affected these lifestyle and dietary choices of our study participants, the high prevalence of the lifestyle choices and presence of previously undiagnosed metabolic comorbidities is of concern. It is unlikely to fully be explained by restrictions imposed by COVID-19 pandemic alone. Unavailable information included exercise, although this was likely affected by COVID-19 pandemic, and certain dietary fields. For example, we did not specifically identify fibre from other sources such as lentils. However, lentils and beans contribute far less fibre compared to fruits, vegetables and wholegrains, as they are mainly taken in larger quantities by vegetarians (34), whom comprise only 1.6% of our study population. The strengths of our study are that this study showed potential areas for identification and control of risk factors in patients at particularly high risk for ASCVD and requiring hospitalisation. The findings of our study could be helpful to inform future studies and national efforts in prevention of ASCVD. We also analysed a broad range of risk factors for ASCVD, including Lp(a), which was not previously reported in IHD patients requiring hospital admission in Singapore. Because Lp(a) levels are dependent on isoform size, our study had the advantage of uniformly measuring Lp(a) using an isoform-insensitive assay in molar concentrations (6).

Conclusion

Our study showed that there was a high prevalence of previously undiagnosed chronic metabolic diseases among patients with newly diagnosed IHD, as well as high smoking prevalence in patients with known and newly diagnosed IHD. Increased detection efforts are necessary to diagnose chronic metabolic diseases (hypertension, hypercholesterolemia, T2DM) and elevated Lp(a), especially among patients at high risk for IHD. A heart healthy diet and smoking cessation should be reinforced in patients with IHD.

Data availability statement

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

Ethics statement

This study involving human participation was reviewed and approved by Singhealth IRB. The patients/participants provided their written informed consent to participate in this study.

Author contributions

WL, FC, and CY were involved in study design. All authors were involved in study conduct. FC, AL, YM, ZL, LD, JY, TP, JK, and WL were involved in data collection. WL, FC, and YM were involved in data analysis. WL, FC, TP, WC, VT, KT, BH, and CY were involved in data interpretation. FC and WL involved in drafting manuscript. FC, TP, WC, VT, KT, BL, CY, and WL involved in revising manuscript content. All authors contributed to the article and approved the submitted version.

Funding

This study is an investigator-initiated study. This research is supported by the Singapore Ministry of Health's National Medical Research Council under its MOH Healthcare Research Scholarship (Master of Clinical Investigation). Part of this investigator-initiated research study received supportive funding from Novartis but Novartis was not involved in the writing or analysis of this current manuscript.

Conflict of interest

The author TP declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

The remaining 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. Zhao D. Epidemiological features of cardiovascular disease in Asia. JACC Asia. (2021) 1(1):1–13. doi: 10.1016/j.jacasi.2021.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Ministry of Health, Singapore. Principal Causes of Death. https://www.moh.gov.sg/resources-statistics/singapore-health-facts/principal-causes-of-death (Accessed April 7, 2023).

3. Ministry of Health, Singapore. Acute Myocardial Infarction (AMI)—National Registry Of Diseases Office. https://nrdo.gov.sg/publications/ami (Accessed November 26, 2022).

4. Tzoulaki I, Elliott P, Kontis V, Ezzati M. Worldwide exposures to cardiovascular risk factors and associated health effects. Circulation. (2016) 133(23):2314–33. doi: 10.1161/CIRCULATIONAHA.115.008718

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Loh WJ, Chang X, Aw TC, Phua SK, Low AF, Chan MY, et al. Lipoprotein(a) as predictor of coronary artery disease and myocardial infarction in a multi-ethnic Asian population. Atherosclerosis. (2022) 349:160–5. doi: 10.1016/j.atherosclerosis.2021.11.018

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Nestel P, Loh WJ, Ward NC, Watts GF. New horizons: revival of lipoprotein (a) as a risk factor for cardiovascular disease. J Clin Endocrinol Metab. (2022) 107(11):e4281–94. doi: 10.1210/clinem/dgac541

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Kronenberg F, Mora S, Stroes ESG, Ference BA, Arsenault BJ, Berglund L, et al. Lipoprotein(a) in atherosclerotic cardiovascular disease and aortic stenosis: a European atherosclerosis society consensus statement. Eur Heart J. (2022) 43(39):3925–46. doi: 10.1093/eurheartj/ehac361

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Loh WJ, Watts GF. Detection strategies for elevated lipoprotein(a): will implementation let the genie out of the bottle? Curr Opin Endocrinol Diabetes Obes. (2023) 30(2):94–102. doi: 10.1097/MED.0000000000000789

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Ministry of Health, Singapore. National Population Health Survey (Household Interview and Health Examination). https://www.hpb.gov.sg/docs/default-source/default-document-library/nphs-2020-survey-report3d885bcf2c4f45fa9b6c0fde298ac688.pdf?sfvrsn=d02f34e0_0 (Accessed October 24, 2022).

10. Health Promotion Board, Singapore. Preventive Health. Health Promotion Board. https://hpb.gov.sg/healthy-living/preventive-health (Accessed October 24, 2022).

11. Civeira F, Arca M, Cenarro A, Hegele RA. A mechanism-based operational definition and classification of hypercholesterolemia. J Clin Lipidol. (2022) 16(6):813–21. doi: 10.1016/j.jacl.2022.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Haralambos K, Whatley SD, Edwards R, Gingell R, Townsend D, Ashfield-Watt P, et al. Clinical experience of scoring criteria for familial hypercholesterolaemia (FH) genetic testing in Wales. Atherosclerosis. (2015) 240(1):190–6. doi: 10.1016/j.atherosclerosis.2015.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Thanassoulis G. Screening for high lipoprotein(a). Circulation. (2019) 139(12):1493–6. doi: 10.1161/CIRCULATIONAHA.119.038989

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Ministry of Health, Singapore. How to Eat Right to Feel Right. https://www.healthhub.sg/live-healthy/15/dietary_guidelines_adults (Accessed November 26, 2022).

15. Chow CK, Teo KK, Rangarajan S, Islam S, Gupta R, Avezum A, et al. Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries. JAMA. (2013) 310(9):959–68. doi: 10.1001/jama.2013.184182

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, et al. 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk: the task force for the management of dyslipidaemias of the European society of cardiology (ESC) and European atherosclerosis society (EAS). Eur Heart J. (2020) 41(1):111–88. doi: 10.1093/eurheartj/ehz455

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of blood cholesterol: a report of the American college of cardiology/American heart association task force on clinical practice guidelines. Circulation. (2019) 139(25):e1082–143. doi: 10.1161/CIR.0000000000000625

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Cegla J, Neely RDG, France M, Ferns G, Byrne CD, Halcox J, et al. HEART UK consensus statement on lipoprotein(a): a call to action. Atherosclerosis. (2019) 291:62–70. doi: 10.1016/j.atherosclerosis.2019.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Wilson DP, Jacobson TA, Jones PH, Koschinsky ML, McNeal CJ, Nordestgaard BG, et al. Use of lipoprotein(a) in clinical practice: a biomarker whose time has come. A scientific statement from the national lipid association. J Clin Lipidol. (2019) 13(3):374–92. doi: 10.1016/j.jacl.2019.04.010

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Greenland P, Smith SC Jr, Grundy SM. Improving coronary heart disease risk assessment in asymptomatic people. Circulation. (2001) 104(15):1863–7. doi: 10.1161/hc4201.097189

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Hickling J, Rogers S, Nazareth I. Barriers to detecting and treating hypercholesterolaemia in patients with ischaemic heart disease: primary care perceptions. Br J Gen Pract. (2005) 55(516):534–8. PMID: 16004739.16004739

PubMed Abstract | Google Scholar

22. Conell C, Flint AC, Ren X, Banki NM, Chan SL, Rao VA, et al. Underdiagnosis of isolated systolic and isolated diastolic hypertension. Am J Cardiol. (2021) 141:56–61. doi: 10.1016/j.amjcard.2020.11.020

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Ministry of Health, Singapore. Lipids—MOH Clinical Practice Guidelines. Published online December 2016. https://www.moh.gov.sg/docs/librariesprovider4/guidelines/moh-lipids-cpg—booklet.pdf.

24. Ministry of Health, Singapore. Diabetes Mellitus—MOH Clinical Practice Guidelines. Published online March 2014. https://www.moh.gov.sg/docs/librariesprovider4/guidelines/cpg_diabetes-mellitus-booklet—jul-2014.pdf.

25. Bjarkø VV, Haug EB, Sørgjerd EP, Stene LC, Ruiz PL, Birkeland KI, et al. Undiagnosed diabetes: prevalence and cardiovascular risk profile in a population-based study of 52,856 individuals. The HUNT study, Norway. Diabet Med J Br Diabet Assoc. (2022) 39(6):e14829. doi: 10.1111/dme.14829

CrossRef Full Text | Google Scholar

26. Health Promotion Board, Singapore. (2018). National Nutrition Survey. Straits Times. https://static1.straitstimes.com.sg/s3fs-public/attachments/2018/11/20/st_20181120_vnd_4427153.pdf (Accessed October 24, 2022).

27. Han Y, Hu Y, Yu C, Guo Y, Pei P, Yang L, et al. Lifestyle, cardiometabolic disease, and multimorbidity in a prospective Chinese study. Eur Heart J. (2021) 42(34):3374–84. doi: 10.1093/eurheartj/ehab413

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Jeong SM, Jeon KH, Shin DW, Han K, Kim D, Park SH, et al. Smoking cessation, but not reduction, reduces cardiovascular disease incidence. Eur Heart J. (2021) 42(40):4141–53. doi: 10.1093/eurheartj/ehab578

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Ministry of Health, Singapore. Number of Singaporeans Who Have Given Up Smoking In Past Two Years And Proposal to Consider Total Ban on Sale of Tobacco Products. https://www.moh.gov.sg/news-highlights/details/smoking-and-tobacco-ban_11Jan2022 (Accessed November 26, 2022).

30. Mathews M, Suhaini S, Hou M, Phoa F. Living With. COVID-19 In Singapore: Attitudes, Challenges and The Way Ahead. Published online December 2021. https://lkyspp.nus.edu.sg/docs/default-source/ips/working-paper-43__living-with-covid-19-in-singapore-attitudes-challenges-and-the-way-ahead.pdf.

31. Ahn S, Kim S, Koh K. Associations of the COVID-19 pandemic with older individuals’ healthcare utilization and self-reported health status: a longitudinal analysis from Singapore. BMC Health Serv Res. (2022) 22(1):66. doi: 10.1186/s12913-021-07446-5

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lai AYK, Sit SMM, Wu SYD, Wang MP, Wong BY, Ho SY, et al. Associations of delay in doctor consultation with COVID-19 related fear, attention to information, and fact-checking. Front Public Health. (2021) 9:797814. doi: 10.3389/fpubh.2021.797814

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Agarwal S, Huang P, Luo C, Qin Y, Zhan C. Assessment of online food ordering and delivery in Singapore during the COVID-19 pandemic. JAMA Netw Open. (2021) 4(9):e2126466. doi: 10.1001/jamanetworkopen.2021.26466

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Leterme P. Recommendations by health organizations for pulse consumption. Br J Nutr. (2002) 88(S3):239–42. doi: 10.1079/BJN2002712

CrossRef Full Text | Google Scholar

Keywords: Ischaemic heart disease, diabetes, hypertension, hypercholesterolaemia, cardiovascular risk factors, Lp(a), lipoprotein(a), cardiovascular diet

Citation: Chua F, Lam A, Mak YH, Lee ZH, Dacay LM, Yew JL, Puar T, Khoo J, Chow W, Tan VH, Tong KL, Liew BW, Yeo C and Loh WJ (2023) Undiagnosed cardiovascular risk factors including elevated lipoprotein(a) in patients with ischaemic heart disease. Front. Epidemiol. 3:1207752. doi: 10.3389/fepid.2023.1207752

Received: 19 April 2023; Accepted: 29 June 2023;
Published: 17 July 2023.

Edited by:

Palash Chandra Banik, Bangladesh University of Health Sciences, Bangladesh

Reviewed by:

Nicole Rübsamen, University of Münster, Germany
Navin Suthahar Erasmus Medical Center, Netherlands

© 2023 Chua, Lam, Mak, Lee, Dacay, Yew, Puar, Khoo, Chow, Tan, Tong, Liew, Yeo and Loh. 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: Wann Jia Loh loh.wann.jia@singhealth.com.sg

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.