The impact of comorbidities on surgical outcomes in Dupuytren’s disease

Introduction: Dupuytren’s disease is a progressive fibroproliferative condition characterized by collagen deposition and the formation of fibrous cords along the palmar fascia and flexor tendons of the fingers. This study investigates the impact of comorbidities on surgical outcomes in patients undergoing palmar fasciectomy for Dupuytren’s disease. Methods: A retrospective analysis was conducted on 109 patients who underwent palmar fasciectomy for Dupuytren’s disease between September 2006 and November 2023. Demographic data, associated comorbidities, and surgical techniques were recorded. Surgical outcomes were assessed using the Duruöz Hand Index. Clinical results were classified as excellent, good, fair, and poor. Results: The cohort consisted mostly of men (94 men, 15 women), with an average age of 59.22 years. The most common comorbidities were smoking (55%), manual labor (41.3%), hypertension (38.5%), and diabetes (31.2%). Clinical outcomes were excellent or good in 82.5% of patients. The recurrence rate was 1.8%, and the incidence of permanent deformity was 4.5%. The complication rate was 11%, with malignancy detected in 11% of patients, most notably colon cancer (7 patients). Conclusion: Palmar fasciectomy for Dupuytren’s disease is an effective surgical treatment with low recurrence and high success rates. However, comorbidities such as smoking and diabetes significantly impact surgical outcomes.

Institutions

Publication Details

Journal
Journal of Plastic Surgery and Hand Surgery
Published
2025-10-23
DOI
https://doi.org/10.2340/jphs.v60.44800
Primary Topic
Dupuytren's Contracture and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of comorbidities on surgical outcomes in Dupuytren’s disease

Journal of Plastic Surgery and Hand Surgery
Dupuytren's Contracture and Treatments
article

The impact of comorbidities on surgical outcomes in Dupuytren’s disease

article en

Abstract

Introduction: Dupuytren’s disease is a progressive fibroproliferative condition characterized by collagen deposition and the formation of fibrous cords along the palmar fascia and flexor tendons of the fingers. This study investigates the impact of comorbidities on surgical outcomes in patients undergoing palmar fasciectomy for Dupuytren’s disease. Methods: A retrospective analysis was conducted on 109 patients who underwent palmar fasciectomy for Dupuytren’s disease between September 2006 and November 2023. Demographic data, associated comorbidities, and surgical techniques were recorded. Surgical outcomes were assessed using the Duruöz Hand Index. Clinical results were classified as excellent, good, fair, and poor. Results: The cohort consisted mostly of men (94 men, 15 women), with an average age of 59.22 years. The most common comorbidities were smoking (55%), manual labor (41.3%), hypertension (38.5%), and diabetes (31.2%). Clinical outcomes were excellent or good in 82.5% of patients. The recurrence rate was 1.8%, and the incidence of permanent deformity was 4.5%. The complication rate was 11%, with malignancy detected in 11% of patients, most notably colon cancer (7 patients). Conclusion: Palmar fasciectomy for Dupuytren’s disease is an effective surgical treatment with low recurrence and high success rates. However, comorbidities such as smoking and diabetes significantly impact surgical outcomes.

Journal of Plastic Surgery and Hand SurgeryVol. 60
Ankara University (TR)
No poverty
Openalex Percentile: Top 33%
Dupuytren's Contracture and Treatments
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.