The relationship between heart failure and smoking, and development of urethral stricture

Objective: To evaluate the relationship between heart failure (HF), chronic obstructive pulmonary disease (COPD), and smoking with the development of urethral stricture (US) by examining the patients who underwent transurethral prostate resection procedure, with and without the development of US in their follow-ups.Methods: Among the patients who underwent transurethral resection of the prostate, 50 patients who developed US during their follow-ups formed group 1, while a total of 50 patients who did not develop US and were selected by lot formed group 2. The relationship between the patients' data on HF, COPD and smoking status and the development of US was investigated.Results: The mean number of cigarettes smoked was statistically significantly high in the group with stricture (p = 0.007).Furthermore, pulmonary function test parameters of patients such as forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and FEV1/FVC were found to be statistically significantly higher in Group 2 (p < 0.001, p < 0.001, and p = 0.008, respectively).In the logistic regression analysis, being a smoker was found to be the strongest predictor (p = 0.032).Conclusions: Our study concluded that smoking, HF, and COPD significantly increase the risk of developing stricture after transurethral resection of the prostate.

Authors

Publication Details

Journal
Cirugía y Cirujanos (English Edition)
Published
2024-09-20
DOI
https://doi.org/10.24875/cirue.m23000686
Primary Topic
Urological Disorders 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 relationship between heart failure and smoking, and development of urethral stricture

Arif Demirbaş, Kemal Ulusoy, Kutay Topal, İbrahim Keleş et al.
Cirugía y Cirujanos (English Edition)
Urological Disorders and Treatments
article

The relationship between heart failure and smoking, and development of urethral stricture

Arif Demirbaş, Kemal Ulusoy, Kutay Topal, İbrahim Keleş, Aydın Balcı, Mustafa Karalar, Osman Gercek
article en

Abstract

Objective: To evaluate the relationship between heart failure (HF), chronic obstructive pulmonary disease (COPD), and smoking with the development of urethral stricture (US) by examining the patients who underwent transurethral prostate resection procedure, with and without the development of US in their follow-ups.Methods: Among the patients who underwent transurethral resection of the prostate, 50 patients who developed US during their follow-ups formed group 1, while a total of 50 patients who did not develop US and were selected by lot formed group 2. The relationship between the patients' data on HF, COPD and smoking status and the development of US was investigated.Results: The mean number of cigarettes smoked was statistically significantly high in the group with stricture (p = 0.007).Furthermore, pulmonary function test parameters of patients such as forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and FEV1/FVC were found to be statistically significantly higher in Group 2 (p < 0.001, p < 0.001, and p = 0.008, respectively).In the logistic regression analysis, being a smoker was found to be the strongest predictor (p = 0.032).Conclusions: Our study concluded that smoking, HF, and COPD significantly increase the risk of developing stricture after transurethral resection of the prostate.

Cirugía y Cirujanos (English Edition)Vol. 92(4)
Good health and well-being
Openalex Percentile: Top 73%
Urological Disorders 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.