Clinical and Metabolic Correlates of Cardiovascular Autonomic Neuropathy in Long-Standing Type 2 Diabetes: A Tertiary-Care Cross-Sectional Study from Eastern India

BACKGROUND AND OBJECTIVES: Cardiovascular autonomic neuropathy (CAN) is a serious and underdiagnosed complication of long-standing type 2 diabetes mellitus, associated with increased cardiovascular morbidity and mortality. Data from Indian populations evaluating the relationship between somatic and autonomic neuropathy remain limited. METHODS: In this cross-sectional study, 98 patients with long-standing type 2 diabetes were evaluated at a tertiary-care center in Eastern India. Somatic neuropathy was assessed clinically and electrophysiologically, while autonomic function was evaluated using standard cardiovascular autonomic reflex tests and galvanic skin response (GSR). CAN was staged as possible, definite, or advanced. Clinical and metabolic correlates were analyzed, and multivariable logistic regression was used to identify factors independently associated with CAN. RESULTS: Distal symmetric polyneuropathy was present in 44.9% of patients, and any peripheral neuropathy was present in 59.2%. CAN was highly prevalent, with definite and advanced CAN observed in 28.6% and 46.9%, respectively. Abnormal GSR was noted in 42.9%, and overall diabetic autonomic involvement (defined as the presence of CAN and/or isolated sudomotor dysfunction) was present in 92.9%. Increasing CAN severity was associated with higher hemoglobin A1c (HbA1c) ( P = 0.0055), fasting blood glucose ( P = 0.0083), and age ( P = 0.0027), while duration showed a borderline association ( P = 0.0548). HbA1c was the only variable independently associated with CAN after multivariable adjustment (adjusted odds ratio ≈ 2.10 per 1% increase). The sustained handgrip test did not demonstrate a significant association with the presence of CAN (χ², P = 0.712), indicating limited discriminatory ability in this cohort. CONCLUSIONS: Autonomic neuropathy, particularly CAN, was highly prevalent in this cohort of patients with long-standing type 2 diabetes. Poorer glycemic control, reflected by higher HbA1c, showed the strongest independent association with CAN. Comprehensive autonomic assessment should be considered even in the absence of overt somatic neuropathy.

Authors

Institutions

Publication Details

Journal
Annals of Indian Academy of Neurology
Published
2026-10-15
DOI
https://doi.org/10.4103/aian.aian_227_26
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical and Metabolic Correlates of Cardiovascular Autonomic Neuropathy in Long-Standing Type 2 Diabetes: A Tertiary-Care Cross-Sectional Study from Eastern India

Goutam Gangopadhyay, Sudipta Bandyopadhyay, Dhiman Das, Bidhan C Mandal et al.
Annals of Indian Academy of Neurology
Heart Rate Variability and Autonomic Control
article

Clinical and Metabolic Correlates of Cardiovascular Autonomic Neuropathy in Long-Standing Type 2 Diabetes: A Tertiary-Care Cross-Sectional Study from Eastern India

Goutam Gangopadhyay, Sudipta Bandyopadhyay, Dhiman Das, Bidhan C Mandal, Kaushik Samanta
article en

Abstract

BACKGROUND AND OBJECTIVES: Cardiovascular autonomic neuropathy (CAN) is a serious and underdiagnosed complication of long-standing type 2 diabetes mellitus, associated with increased cardiovascular morbidity and mortality. Data from Indian populations evaluating the relationship between somatic and autonomic neuropathy remain limited. METHODS: In this cross-sectional study, 98 patients with long-standing type 2 diabetes were evaluated at a tertiary-care center in Eastern India. Somatic neuropathy was assessed clinically and electrophysiologically, while autonomic function was evaluated using standard cardiovascular autonomic reflex tests and galvanic skin response (GSR). CAN was staged as possible, definite, or advanced. Clinical and metabolic correlates were analyzed, and multivariable logistic regression was used to identify factors independently associated with CAN. RESULTS: Distal symmetric polyneuropathy was present in 44.9% of patients, and any peripheral neuropathy was present in 59.2%. CAN was highly prevalent, with definite and advanced CAN observed in 28.6% and 46.9%, respectively. Abnormal GSR was noted in 42.9%, and overall diabetic autonomic involvement (defined as the presence of CAN and/or isolated sudomotor dysfunction) was present in 92.9%. Increasing CAN severity was associated with higher hemoglobin A1c (HbA1c) ( P = 0.0055), fasting blood glucose ( P = 0.0083), and age ( P = 0.0027), while duration showed a borderline association ( P = 0.0548). HbA1c was the only variable independently associated with CAN after multivariable adjustment (adjusted odds ratio ≈ 2.10 per 1% increase). The sustained handgrip test did not demonstrate a significant association with the presence of CAN (χ², P = 0.712), indicating limited discriminatory ability in this cohort. CONCLUSIONS: Autonomic neuropathy, particularly CAN, was highly prevalent in this cohort of patients with long-standing type 2 diabetes. Poorer glycemic control, reflected by higher HbA1c, showed the strongest independent association with CAN. Comprehensive autonomic assessment should be considered even in the absence of overt somatic neuropathy.

Annals of Indian Academy of Neurology
Ramakrishna Mission Vidyamandira (IN), R. G. Kar Medical College and Hospital (IN), Institute of Post Graduate Medical Education and Research (IN)
Openalex Percentile: Top 12%
Heart Rate Variability and Autonomic Control
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.