What is the clinical evidence from this study?

Study design: Cross-Sectional. Population: Coronary heart disease (n=120). Intervention: Diabetes mellitus vs. No diabetes mellitus. Primary outcome: Coronary heart disease status (OR 25.891, p=<0.001).

What does this research mean for the field?

Hypertension and diabetes mellitus are significant factors associated with the occurrence of coronary heart disease in cardiac patients. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To establish a binary logistic regression model identifying the clinical and demographic factors associated with coronary heart disease among cardiac patients.

October 8, 2026MATHunesa Jurnal Ilmiah MatematikaOpen Access

Model Regresi Logistik Biner Pada Faktor-Faktor Yang Mempengaruhi Penyakit Jantung Koroner Pada Pasien Penderita Jantung Di Rsud Prof Dr. W. Z. Johannes Kupang

Q: What are the key findings of this study?

Diabetes mellitus and hypertension were significantly associated with coronary heart disease, increasing the odds by 25.89 and 10.32 times, respectively.

Q: What does this research mean for the field?

Hypertension and diabetes mellitus are significant factors associated with the occurrence of coronary heart disease in cardiac patients. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.NEUTRAL.

Q: What question did this study set out to answer?

To establish a binary logistic regression model identifying the clinical and demographic factors associated with coronary heart disease among cardiac patients.

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Key result

Diabetes linked to ~25.9-fold higher odds of coronary heart disease.

OR 25.891
P<0.001
n=120

Why the study?

Penyakit jantung koroner merupakan penyakit mematikan dengan faktor risiko yang perlu dianalisis menggunakan model regresi logistik biner pada pasien di RSUD Prof. Dr. W. Z. Johannes Kupang.

Key Points

To establish a binary logistic regression model identifying the clinical and demographic factors associated with coronary heart disease among cardiac patients.
Retrospective analysis of secondary medical record data collected in 2023 at the Heart Clinic of Prof. Dr. W. Z. Johannes Kupang Regional General Hospital (N=120).
Assessed independent variables including gender, age, family medical history, hypertension, body mass index, diabetes mellitus, and smoking habits using binary logistic regression.
Hypertension and diabetes mellitus were identified as the statistically significant independent factors influencing coronary heart disease status.

Study Design

Type

Cross-Sectional (n=120)

Multicenter

Structured PICO

Population

120 patients at a heart clinic in Indonesia, evaluated for risk factors associated with coronary heart disease.

Outcome

Status of coronary heart disease (presence or absence of coronary heart disease)

Main Result

Odds Ratio: 25.891

p-value: p=<0.001

Hypertension and diabetes mellitus were found to be the most significant risk factors for coronary heart disease in this Indonesian hospital cohort.

Implication

May inform local risk stratification; leaves open causality and generalizability from this cross-sectional analysis.

Abstract

Penyakit jantung koroner merupakan penyakit yang menyerang jantung dan termasuk salah satu penyakit yang mematikan didunia. Di Indonesia sendiri penyakit jantung koroner tercatat sebanyak 1,5% penyebab kematian setelah stroke. Penelitian ini dilakukan untuk mengetahui model analisis regresi logistik biner dan mengetahui faktor-faktor yang mempengaruhi terjadinya penyakit jantung koroner pada pasien di RSUD Prof. Dr. W. Z. Johannes Kupang. Sumber data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari rekam medis pasien di Poli Jantung RSUD Prof. Dr. W. Z. Johannes Kupang pada tahun 2023 Sebanyak 120 pasien yang dijadikan sampel dan dianalisis menggunakan regresi logistik biner. Variabel dependen yaitu status penderita penyakit jantung koroner dan variabel independen yaitu jenis kelamin, usia, riwayat penyakit keluarga, hipertensi, indeks massa tubuh, diabetes mellitus, dan merokok. Hasil analisis regresi logistik biner menunjukkan bahwa model regresi logistik biner pada pasien penderita penyakit jantung koroner di RSUD Prof. Dr. W. Z. Johannes Kupang adalah dan variabel independen yang mempengaruhi terjadinya penyakit jantung koroner yaitu hipertensi dan diabetes mellitus. Kata Kunci: Penyakit jantung koroner, regresi logistik biner, hipertensi, diabetes mellitus, faktor risiko

Discussion

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Cite This Study

Ndolu et al. (2026) conducted a cross-sectional in Coronary heart disease (n=120). Diabetes mellitus vs. No diabetes mellitus was evaluated on Coronary heart disease status (OR 25.891, p=<0.001). Diabetes mellitus and hypertension were significantly associated with coronary heart disease, increasing the odds by 25.89 and 10.32 times, respectively.

synapsesocial.com/papers/6ac72a2936c8cd5d094bf1d4 https://doi.org/10.26740/mathunesa.v14n1.p471-476

Topics

Statin therapy

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Implication

May inform local risk stratification; leaves open causality and generalizability from this cross-sectional analysis.

Model Regresi Logistik Biner Pada Faktor-Faktor Yang Mempengaruhi Penyakit Jantung Koroner Pada Pasien Penderita Jantung Di Rsud Prof Dr. W. Z. Johannes Kupang

Key Points

Study Design

Structured PICO

Main Result

Implication

Abstract

Discussion

Cite This Study

Topics

Model Regresi Logistik Biner Pada Faktor-Faktor Yang Mempengaruhi Penyakit Jantung Koroner Pada Pasien Penderita Jantung Di Rsud Prof Dr. W. Z. Johannes Kupang

Key Points

Study Design

Structured PICO

Main Result

Implication

Abstract

Discussion

Cite This Study

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Topics

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