TY - JOUR
T1 - Presentation, management, and outcomes of 25 748 acute coronary syndrome admissions in Kerala, India
T2 - Results from the Kerala ACS Registry
AU - Mohanan, Padinhare Purayil
AU - Mathew, Rony
AU - Harikrishnan, Sadasivan
AU - Krishnan, Mangalath Narayanan
AU - Zachariah, Geevar
AU - Joseph, Jhony
AU - Eapen, Koshy
AU - Abraham, Mathew
AU - Menon, Jaideep
AU - Thomas, Manoj
AU - Jacob, Sonny
AU - Huffman, Mark Daniel
AU - Prabhakaran, Dorairaj
N1 - Funding Information:
This work was supported by the Cardiological Society of India-Kerala Chapter. M.D.H. was supported by a NIH training grant in cardiovascular epidemiology and prevention (5 T32 HL069771-08) and has received grant support (moderate) from Scientific Therapeutics Initiative unrelated to this project. D.P. receives partial salary support from a contract award (HHS N268200900026C) from NIH and a grant award (1D43HD065249) from NIH. The study was funded by the Cardiological Society of India—Kerala Chapter, who participated in the study design, data collection, analysis, and writing of the manuscript.
Funding Information:
The study was funded by the CSI-K. Given the study investigators’ roles in the CSI-K, the CSI-K participated in the study design, data collection, analysis, and writing of the manuscript.
PY - 2013/1/7
Y1 - 2013/1/7
N2 - AimsThere are limited contemporary data on the presentation, management, and outcomes of acute coronary syndrome (ACS) admissions in India. We aimed to develop a prospective registry to address treatment and health systems gaps in the management of ACSs in Kerala, India.Methods and resultsWe prospectively collected data on 25 748 consecutive ACS admissions from 2007 to 2009 in 125 hospitals in Kerala. We evaluated data on presentation, management, and in-hospital mortality and major adverse cardiovascular events (MACE). We created random-effects multivariate regression models to evaluate predictors of outcomes while accounting for confounders. Mean (SD) age at presentation was 60 (12) years and did not differ among ACS types [ST-segment myocardial infarction (STEMI) = 37%; non-STEMI = 31%; unstable angina = 32%]. In-hospital anti-platelet use was high (>90%). Thrombolytics were used in 41% of STEMI, 19% of non-STEMI, and 11% of unstable angina admissions. Percutaneous coronary intervention rates were marginally higher in STEMI admissions. Discharge medication rates were variable and generally suboptimal (<80%). In-hospital mortality and MACE rates were highest for STEMI (8.2 and 10.3%, respectively). After adjustment, STEMI diagnosis (vs. unstable angina) [odds ratio (OR) (95% confidence interval = 4.06 (2.36, 7.00)], symptom-to-door time >6 h [OR = 2.29 (1.73, 3.02)], and inappropriate use of thrombolysis [OR = 1.33 (0.92, 1.91)] were associated with higher risk of in-hospital mortality and door-to-needle time <30 min [OR = 0.44 (0.27, 0.72)] was associated with lower mortality. Similar trends were seen for risk of MACE.ConclusionThese data represent the largest ACS registry in India and demonstrate opportunities for improving ACS care.
AB - AimsThere are limited contemporary data on the presentation, management, and outcomes of acute coronary syndrome (ACS) admissions in India. We aimed to develop a prospective registry to address treatment and health systems gaps in the management of ACSs in Kerala, India.Methods and resultsWe prospectively collected data on 25 748 consecutive ACS admissions from 2007 to 2009 in 125 hospitals in Kerala. We evaluated data on presentation, management, and in-hospital mortality and major adverse cardiovascular events (MACE). We created random-effects multivariate regression models to evaluate predictors of outcomes while accounting for confounders. Mean (SD) age at presentation was 60 (12) years and did not differ among ACS types [ST-segment myocardial infarction (STEMI) = 37%; non-STEMI = 31%; unstable angina = 32%]. In-hospital anti-platelet use was high (>90%). Thrombolytics were used in 41% of STEMI, 19% of non-STEMI, and 11% of unstable angina admissions. Percutaneous coronary intervention rates were marginally higher in STEMI admissions. Discharge medication rates were variable and generally suboptimal (<80%). In-hospital mortality and MACE rates were highest for STEMI (8.2 and 10.3%, respectively). After adjustment, STEMI diagnosis (vs. unstable angina) [odds ratio (OR) (95% confidence interval = 4.06 (2.36, 7.00)], symptom-to-door time >6 h [OR = 2.29 (1.73, 3.02)], and inappropriate use of thrombolysis [OR = 1.33 (0.92, 1.91)] were associated with higher risk of in-hospital mortality and door-to-needle time <30 min [OR = 0.44 (0.27, 0.72)] was associated with lower mortality. Similar trends were seen for risk of MACE.ConclusionThese data represent the largest ACS registry in India and demonstrate opportunities for improving ACS care.
KW - Acute coronary syndrome
KW - India
KW - Outcomes
KW - Registry
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U2 - 10.1093/eurheartj/ehs219
DO - 10.1093/eurheartj/ehs219
M3 - Article
C2 - 22961945
AN - SCOPUS:84871864277
SN - 0195-668X
VL - 34
SP - 121
EP - 129
JO - European Heart Journal
JF - European Heart Journal
IS - 2
ER -