Evidence map›Paper›PMID 30057767›Full record

ArticleOpen heart

Predictors of medium-term mortality in patients hospitalised with coronary artery disease in a resource-limited South-East Asian setting.

Andriany Qanitha, Cuno S P M Uiterwaal, Jose P S Henriques, Idar Mappangara, Irfan Idris, Muzakkir Amir, Bastianus A J M de Mol

Abstract read
In one paragraph

Article in Open heart. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Andriany QanithaDepartment of Cardio-thoracic Surgery, AMC Heart Center, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-2420-0560
Cuno S P M UiterwaalJulius Center for Health Sciences and Primary Care, Universitair Medisch Centrum Utrecht, Utrecht, The Netherlands.
Jose P S HenriquesDepartment of Cardiology, AMC Heart Center, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Idar MappangaraDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, University of Hasanuddin, Makassar, Indonesia.
Irfan IdrisDepartment of Physiology, Faculty of Medicine, University of Hasanuddin, Makassar, Indonesia.
Muzakkir AmirDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, University of Hasanuddin, Makassar, Indonesia.
Bastianus A J M de MolDepartment of Cardio-thoracic Surgery, AMC Heart Center, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To measure medium-term outcomes and determine the predictors of mortality in patients with coronary artery disease (CAD) both during and after hospitalisation in a resource-limited South-East Asian setting. Methods: From February 2013 to December 2014, we conducted a prospective observational cohort study of 477 patients admitted to Makassar Cardiac Center, Indonesia, with acute coronary syndrome and stable CAD. We actively obtained data on clinical outcomes and after-discharge management until April 2017. Multivariable Cox proportional hazard analysis was performed to examine predictors for our primary outcome, all-cause mortality. Results: From hospital admission, patients were followed over a median of 18 (IQR 6-36) months; in total 154 (32.3%) patients died. More patients with acute myocardial infarction died in the hospital compared with patients with unstable and stable angina (p=0.002). Over the total follow-up, there was a difference in mortality between non-ST-segment elevation myocardial infarction (n=41, 48.2%), ST-segment elevation myocardial infarction (n=65, 30.8%), unstable angina (n=18, 26.5%) and stable coronary artery disease (n=30, 26.5%) groups (p=0.007). The independent predictors of all-cause mortality were hyperglycaemia on admission (HR 1.55 (95% CI 1.12 to 2.14), p=0.008), heart failure/Killip class ≥2 (HR 2.50 (95% CI 1.76 to 3.56), p<0.001), estimated glomerular filtration rate <60 mL/min (HR 1.77 (95% CI 1.26 to 2.50), p=0.001), no revascularisation (percutaneous coronary intervention/coronary artery bypass grafting) (HR 2.38 (95% CI 1.31 to 4.33), p=0.005) and poor adherence to after-discharge medications (HR 10.28 (95% CI 5.52 to 19.16), p<0.001). Poor medication adherence predicted postdischarge mortality and did so irrespective of underlying CAD diagnosis (p interaction=0.88). Conclusions: Patients with CAD in a poor South-East Asian setting experience high in-hospital and medium-term mortality. The initial severity of the disease, lack of access to guidelines-recommended therapy and poor adherence to after-discharge medications are the main drivers for excess mortality. Improved access to early and late hospital care and patient education should be prioritised for better survival.

Indexed as

adherence to medicationsall-cause mortalitycoronary artery diseasequality of care and outcomesrisk factors

Identifiers

PMID30057767
PMCPMC6059341

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.