Influence of COVID-19 pandemic in India on coronary artery disease clinical presentation, angiography, interventions and in-hospital outcomes: a single centre prospective registry-based observational study.

OBJECTIVE: The study examined the influence of the COVID-19 pandemic in India on variation in clinical features, management and in-hospital outcomes in patients undergoing percutaneous coronary intervention (PCI). DESIGN: Prospective registry-based observational study. SETTING: A tertiary care hospital in India participant in the American College of Cardiology CathPCI Registry. PARTICIPANTS: 7089 successive patients who underwent PCI from April 2018 to March 2023 were enrolled (men 5627, women 1462). Details of risk factors, clinical presentation, coronary angiography, coronary interventions, clinical management and in-hospital outcomes were recorded. Annual data were classified into specific COVID-19 periods according to Government of India guidelines as pre-COVID-19 (April 2018 to March 2019, n=1563; April 2019 to March 2020, n=1594), COVID-19 (April 2020 to March 2020, n=1206; April 2021 to March 2022, n=1223) and post-COVID-19 (April 2022 to March 2023, n=1503). RESULTS: Compared with the patients in pre-COVID-19 and post-COVID-19 periods, during the first COVID-19 year, patients had more hypertension, non-ST elevation myocardial infarction (NSTEMI), lower left ventricular ejection fraction (LVEF) and multivessel coronary artery disease (CAD). In the second COVID-19 year, patients had more STEMI, lower LVEF, multivessel CAD, primary PCI, multiple stents and more vasopressor and mechanical support. There were 99 (1.4%) in-hospital deaths which in the successive years were 1.2%, 1.4%, 0.8%, 2.4% and 1.3%, respectively (p=0.019). Compared with the baseline year, deaths were slightly lower in the first COVID-19-year (age-sex adjusted OR 0.68, 95% CI 0.31 to 1.47) but significantly more in the second COVID-19-year (OR 1.97, 95% CI 1.10 to 3.54). This variation attenuated following adjustment for clinical presentation, extent of CAD, in-hospital treatment and duration of hospitalisation. CONCLUSIONS: In-hospital mortality among patients with CAD undergoing PCI was significantly higher in the second year of the COVID-19 pandemic in India and could be one of the reasons for excess deaths in the country. These patients had more severe CAD, lower LVEF, and more vasopressor and mechanical support and duration of hospitalisation.

Biomarkers and outcomes in hospitalised patients with COVID-19: a prospective registry.

OBJECTIVES: To determine association of biomarkers-high-sensitivity C reactive protein (hsCRP), D-dimer, interleukin-6 (IL-6), lactic dehydrogenase (LDH), ferritin and neutrophil-lymphocyte ratio (NLR)-at hospitalisation with outcomes in COVID-19. DESIGN AND SETTING: Tertiary-care hospital based prospective registry. PARTICIPANTS: Successive virologically confirmed patients with COVID-19 hospitalised from April 2020 to July 2021 were prospectively recruited. Details of clinical presentation, investigations, management and outcomes were obtained. PRIMARY AND SECONDARY OUTCOME MEASURES: All biomarkers were divided into tertiles to determine associations with clinical features and outcomes. Primary outcome was all-cause deaths and secondary outcome was oxygen requirement, non-invasive and invasive ventilation, dialysis, duration of stay in ICU and hospital. Numerical data are presented in median and interquartile range (IQR 25-75). Univariate and multivariate (age, sex, risk factors, comorbidities, treatments) ORs and 95% CIs were calculated. RESULTS: 3036 virologically confirmed patients with COVID-19 were detected and 1251 hospitalised. Men were 70.0%, aged >60 years 44.8%, hypertension 44.1%, diabetes 39.6% and cardiovascular disease 18.9%. Median symptom duration was 5 days (IQR 4-7) and oxygen saturation 95% (90%-97%). Total white cell count was 6.9×109/L (5.0-9.8), neutrophils 79.2% (68.1%-88.2%), lymphocytes 15.8% (8.7%-25.5%) and creatinine 0.93 mg/dL (0.78-1.22). Median (IQR) for biomarkers were hsCRP 6.9 mg/dL (2.2-18.9), D-dimer 464 ng/dL (201-982), IL-6 20.1 ng/dL (6.5-60.4), LDH 284 mg/dL (220-396) and ferritin 351 mg/dL (159-676). Oxygen support at admission was in 38.6%, subsequent non-invasive or invasive ventilatory support in 11.0% and 11.6%, and haemodialysis in 38 (3.1%). 173 (13.9%) patients died and 15 (1.2%) transferred to hospice care. For each biomarker, compared with the first, those in the second and third tertiles had more clinical and laboratory abnormalities, and oxygen, ventilatory and dialysis support. Multivariate-adjusted ORs (95% CI) for deaths in second and third versus first tertiles, respectively, were hsCRP 2.24 (1.11 to 4.50) and 12.56 (6.76 to 23.35); D-dimer 3.44 (1.59 to 7.44) and 14.42 (7.09 to 29.30); IL-6 2.56 (1.13 to 5.10) and 10.85 (5.82 to 20.22); ferritin 2.88 (1.49 to 5.58) and 8.19 (4.41 to 15.20); LDH 1.75 (0.81 to 3.75) and 9.29 (4.75 to 18.14); and NLR 3.47 (1.68 to 7.14) and 17.71 (9.12 to 34.39) (p<0.001). CONCLUSION: High levels of biomarkers-hsCRP, D-dimer, IL-6, LDH, ferritin and NLR-in COVID-19 are associated with more severe illness and higher in-hospital mortality. NLR, a widely available investigation, provides information similar to more expensive biomarkers.

Premature coronary artery disease, risk factors, clinical presentation, angiography and interventions: Hospital based registry.

BACKGROUND & AIMS: Premature coronary artery disease (CAD) is endemic in India. We performed a study to identify risk factors, clinical presentation, angiographic findings and interventions in premature CAD. METHODS: Successive patients who underwent percutaneous intervention (PCI) were enrolled from January 2018 to June 2021. Premature CAD was defined as women 45-59 y and men 40-54 y and very premature as women <45 y and men <40 y. Descriptive statistics are presented. Univariate odds ratio (OR) and 95% confidence intervals (95%CI) were calculated to identify differences in various groups. RESULTS: 4672 patients (women 936, men 3736) were enrolled. Premature CAD was in 1238 (26.5%; women 31.9%; men 25.1%) and very premature in 212 (4.5%; women 6.5%, men 4.0%). In premature and very premature vs non-premature CAD, OR (95%CI) for high cholesterol ≥200 mg/dl [women 1.52(1.03-2.25) and 1.59(0.79-3.20); men 1.73(1.38-2.17) and 1.92(1.22-3.03)], non-HDL cholesterol ≥130 mg/dl [women 1.84(1.35-2.52) and 1.32(0.72-2.42); men 1.69(1.43-1.90) and 1.67(1.17-2.34)], LDL cholesterol [men 1.10(0.95-1.25) and 1.04(0.77-1.41)], and tobacco [women 1.40(0.84-2.35) and 2.14(0.95-4.82); men 1.63(1.34-1.98) and 1.27(0.81-1.97)] were higher while hypertension, diabetes and chronic kidney disease were more in non-premature(p < 0.05). Presentation as STEMI was marginally more in women with premature [1.13(0.85-1.51)] and very premature [1.29(0.75-2.22)] CAD and was significantly higher in men [1.35(1.16-1.56) and 1.79(1.29-2.49)]. Location and extent of CAD were not different. CONCLUSIONS: In India, a third of CAD patients presenting for coronary intervention have premature disease. Important risk factors are high total and non-HDL cholesterol and tobacco (men) with greater presentation as STEMI. Extent and type of CAD are similar to non-premature CAD indicating severe disease.

Association of educational, occupational and socioeconomic status with cardiovascular risk factors in Asian Indians: a cross-sectional study.

BACKGROUND: To determine correlation of multiple parameters of socioeconomic status with cardiovascular risk factors in India. METHODS: The study was performed at eleven cities using cluster sampling. Subjects (n = 6198, men 3426, women 2772) were evaluated for socioeconomic, demographic, biophysical and biochemical factors. They were classified into low, medium and high socioeconomic groups based on educational level (<10, 10-15 and >15 yr formal education), occupational class and socioeconomic scale. Risk factor differences were evaluated using multivariate logistic regression. RESULTS: Age-adjusted prevalence (%) of risk factors in men and women was overweight or obesity in 41.1 and 45.2, obesity 8.3 and 15.8, high waist circumference 35.7 and 57.5, high waist-hip ratio 69.0 and 83.8, hypertension 32.5 and 30.4, hypercholesterolemia 24.8 and 25.3, low HDL cholesterol 34.1 and 35.1, high triglycerides 41.2 and 31.5, diabetes 16.7 and 14.4 and metabolic syndrome in 32.2 and 40.4 percent. Lifestyle factors were smoking 12.0 and 0.5, other tobacco use 12.7 and 6.3, high fat intake 51.2 and 48.2, low fruits/vegetables intake 25.3 and 28.9, and physical inactivity in 38.8 and 46.1%. Prevalence of > = 3 risk factors was significantly greater in low (28.0%) vs. middle (23.9%) or high (22.1%) educational groups (p<0.01). In low vs. high educational groups there was greater prevalence of high waist-hip ratio (odds ratio 2.18, confidence interval 1.65-2.71), low HDL cholesterol (1.51, 1.27-1.80), hypertriglyceridemia (1.16, 0.99-1.37), smoking/tobacco use (3.27, 2.66-4.01), and low physical activity (1.15, 0.97-1.37); and lower prevalence of high fat diet (0.47, 0.38-0.57),overweight/obesity (0.68, 0.58-0.80) and hypercholesterolemia (0.79, 0.66-0.94). Similar associations were observed with occupational and socioeconomic status. CONCLUSIONS: Low educational, occupational and socioeconomic status Asian Indians have greater prevalence of truncal obesity, low HDL cholesterol, hypertriglyceridemia, smoking or tobacco use and low physical activity and clustering of > = 3 major cardiovascular risk factors.