Screening For Occult Heart Failure in Type 2 Diabetes Mellitus Using NT-proBNP: Real-World Evidence From a Tertiary Care Center in India

Objective Heart failure (HF) is an important underrecognized complication of type 2 diabetes mellitus (T2DM). Recent literature and recommendations support screening for HF among T2DM people attending the outpatient department (OPD) in non-emergency settings using a biomarker. The present study is a retrospective cross-sectional study that assesses the prevalence of screen positivity (S+) for undiagnosed HF among T2DM people (with normal electrocardiogram (ECG) and no history of heart disease) attending the OPD at a tertiary care center in India using N-terminal pro-B-type natriuretic peptide (NT-proBNP). It also highlights the risk factors for S+ for HF. Methods This is a retrospective cross-sectional study of the practice of NT-proBNP screening in T2DM to diagnose stage B HF. A total of 1,049 consecutive people with T2DM (age range: 18-75 years) attending the OPD of a tertiary care institute in India were screened for HF using NT-proBNP (cut off S+ >125 pg/mL). Demographic variables, vitals, smoking status, family history, status of hypertension, medications for diabetes, and glycemic control were recorded and correlated with the risk of S+ for HF. Results Of the 1,049 people with T2DM, 336 (32.03%) had S+ for HF. Those with S+ had higher age (62.5+9.3 vs 54.2 +10.6 years), longer duration of T2DM (14.4 +7.8 vs 9.6 +6.1 years), positive history for smoking (94 [28%] vs 55 [7.7%]) and tobacco chewing (66 [19.6%] vs 24 [3.4%]), higher blood pressures (both systolic [152.1+19.9 vs 134.6 +15 mmHg] and diastolic [87.7+9.6 vs 83.9+7.8 mmHg]), higher glycated hemoglobin (HbA1c) (8.4+1.4 vs 7.6+1 years), higher BMI (28.3+2.8 vs 27.2+2.1 kg/m<sup>2</sup>), presence of chronic kidney disease (CKD) (210 [62.5 %] vs 118 [16.5%]), and a positive family history of cardiac ailments (185 [55.1%] vs 122 [17.1%]) (<i>p</i><0.05 for all). The above factors also correlated with increased chances of S+ for HF on regression analysis. Conclusion S+ for HF is common in people with T2DM attending OPDs. The S+ was associated with increasing age, longer duration of T2DM, smoking and tobacco chewing, uncontrolled hypertension and T2DM, obesity, the presence of CKD, use of pioglitazone and insulin, and positive family history. It is the need of the hour to widely extend routine screening for HF in T2DM patients using NT-proBNP in the OPD setting so that benefits of guideline-based therapy can be extended.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2024-10-28
DOI
https://doi.org/10.7759/cureus.72576
Citations
2
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Screening For Occult Heart Failure in Type 2 Diabetes Mellitus Using NT-proBNP: Real-World Evidence From a Tertiary Care Center in India

Ameya S Joshi, Abhijit Pakhare, Sandeep B. Patil, Chandani Seth et al.
2 citations
Cureus
Cardiovascular Function and Risk Factors
0.80
article

Screening For Occult Heart Failure in Type 2 Diabetes Mellitus Using NT-proBNP: Real-World Evidence From a Tertiary Care Center in India

Ameya S Joshi, Abhijit Pakhare, Sandeep B. Patil, Chandani Seth, Nitinkumar Abdagire, Harminder Singh, Dhaval Dalal, Apoorva Hajirnis, Priti Khatu
article en
2 citations

Abstract

Objective Heart failure (HF) is an important underrecognized complication of type 2 diabetes mellitus (T2DM). Recent literature and recommendations support screening for HF among T2DM people attending the outpatient department (OPD) in non-emergency settings using a biomarker. The present study is a retrospective cross-sectional study that assesses the prevalence of screen positivity (S+) for undiagnosed HF among T2DM people (with normal electrocardiogram (ECG) and no history of heart disease) attending the OPD at a tertiary care center in India using N-terminal pro-B-type natriuretic peptide (NT-proBNP). It also highlights the risk factors for S+ for HF. Methods This is a retrospective cross-sectional study of the practice of NT-proBNP screening in T2DM to diagnose stage B HF. A total of 1,049 consecutive people with T2DM (age range: 18-75 years) attending the OPD of a tertiary care institute in India were screened for HF using NT-proBNP (cut off S+ >125 pg/mL). Demographic variables, vitals, smoking status, family history, status of hypertension, medications for diabetes, and glycemic control were recorded and correlated with the risk of S+ for HF. Results Of the 1,049 people with T2DM, 336 (32.03%) had S+ for HF. Those with S+ had higher age (62.5+9.3 vs 54.2 +10.6 years), longer duration of T2DM (14.4 +7.8 vs 9.6 +6.1 years), positive history for smoking (94 [28%] vs 55 [7.7%]) and tobacco chewing (66 [19.6%] vs 24 [3.4%]), higher blood pressures (both systolic [152.1+19.9 vs 134.6 +15 mmHg] and diastolic [87.7+9.6 vs 83.9+7.8 mmHg]), higher glycated hemoglobin (HbA1c) (8.4+1.4 vs 7.6+1 years), higher BMI (28.3+2.8 vs 27.2+2.1 kg/m<sup>2</sup>), presence of chronic kidney disease (CKD) (210 [62.5 %] vs 118 [16.5%]), and a positive family history of cardiac ailments (185 [55.1%] vs 122 [17.1%]) (<i>p</i><0.05 for all). The above factors also correlated with increased chances of S+ for HF on regression analysis. Conclusion S+ for HF is common in people with T2DM attending OPDs. The S+ was associated with increasing age, longer duration of T2DM, smoking and tobacco chewing, uncontrolled hypertension and T2DM, obesity, the presence of CKD, use of pioglitazone and insulin, and positive family history. It is the need of the hour to widely extend routine screening for HF in T2DM patients using NT-proBNP in the OPD setting so that benefits of guideline-based therapy can be extended.

CureusVol. 16(10)
Bhaktivedanta Hospital & Research Institute (IN), All India Institute of Medical Sciences Bhopal (IN)
Good health and well-being
Openalex Percentile: Top 23%
Cardiovascular Function and Risk Factors
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.