Letter to the Editor on “Mid‐Term Clinical Outcomes and Predictors of Mortality and Major Adverse Cardiovascular Events Following Cardiac Valve Replacement Surgery: A Retrospective Cohort Study From a Tertiary Center in Iran”

We read with great interest the article by Saffar et al. [1], titled “Mid-term Clinical Outcomes and Predictors of Mortality and Major Adverse Cardiovascular Events Following Cardiac Valve Replacement Surgery.” The study provides very useful real-world data from a large surgical cohort; however, several methodological issues merit consideration to enhance the interpretation of their findings. First, single-center retrospective design limits generalizability and increases vulnerability to selection biases, especially given potential shifts in patient populations, surgical techniques, and perioperative care over time. Recent guidelines suggest that a clear “target trial” structure should be predefined to enhance transparency in eligibility criteria, study timing, and follow-up methodology—which seems to be lacking in the present study [2]. Second, competing-risk analysis was also not done, notwithstanding the remarkable contribution of non-cardiac deaths and valve-related complications during follow-up in this cohort. At mid-term follow-up after valve surgery, there is a considerable probability of non-cardiac mortality. If the competing risks are not taken into account, the overall cumulative incidence might be exaggerated [3]. Indeed, other similar studies [3] utilized competing-risk regression to avoid inflated estimates of events. Finally, while the authors identify predictors of adverse outcomes, interpretation should remain prognostic rather than causal. Recent developments in cardiovascular prognostic modeling, including machine learning, show great promise but also highlight the imperative for careful internal and external validation before clinical use [4, 5]. Such methods provide a basis for further discussion to strengthen these findings and their implications. In conclusion, the study by Saffar et al. provides important interim data related to valve replacement outcomes, but addressing the above-stated methodological concerns, such as the addition of more transparent design frameworks, correct consideration of competing risk, and better-performing prognostic strategies, would not only increase analytical accuracy but also clinical utility for the conduct of future work in this important field. The authors have nothing to report. The authors have nothing to report. The authors have nothing to report. The authors declare no conflicts of interest. The authors have nothing to report.

Authors

Institutions

Publication Details

Journal
Catheterization and Cardiovascular Interventions
Published
2025-12-07
DOI
https://doi.org/10.1002/ccd.70391
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Letter to the Editor on “Mid‐Term Clinical Outcomes and Predictors of Mortality and Major Adverse Cardiovascular Events Following Cardiac Valve Replacement Surgery: A Retrospective Cohort Study From a Tertiary Center in Iran”

Mohammed A. Umer, Syed Muhammad Sabeeh, Muhammad Yousaf
Catheterization and Cardiovascular Interventions
Cardiac Valve Diseases and Treatments
article

Letter to the Editor on “Mid‐Term Clinical Outcomes and Predictors of Mortality and Major Adverse Cardiovascular Events Following Cardiac Valve Replacement Surgery: A Retrospective Cohort Study From a Tertiary Center in Iran”

Mohammed A. Umer, Syed Muhammad Sabeeh, Muhammad Yousaf
article en

Abstract

We read with great interest the article by Saffar et al. [1], titled “Mid-term Clinical Outcomes and Predictors of Mortality and Major Adverse Cardiovascular Events Following Cardiac Valve Replacement Surgery.” The study provides very useful real-world data from a large surgical cohort; however, several methodological issues merit consideration to enhance the interpretation of their findings. First, single-center retrospective design limits generalizability and increases vulnerability to selection biases, especially given potential shifts in patient populations, surgical techniques, and perioperative care over time. Recent guidelines suggest that a clear “target trial” structure should be predefined to enhance transparency in eligibility criteria, study timing, and follow-up methodology—which seems to be lacking in the present study [2]. Second, competing-risk analysis was also not done, notwithstanding the remarkable contribution of non-cardiac deaths and valve-related complications during follow-up in this cohort. At mid-term follow-up after valve surgery, there is a considerable probability of non-cardiac mortality. If the competing risks are not taken into account, the overall cumulative incidence might be exaggerated [3]. Indeed, other similar studies [3] utilized competing-risk regression to avoid inflated estimates of events. Finally, while the authors identify predictors of adverse outcomes, interpretation should remain prognostic rather than causal. Recent developments in cardiovascular prognostic modeling, including machine learning, show great promise but also highlight the imperative for careful internal and external validation before clinical use [4, 5]. Such methods provide a basis for further discussion to strengthen these findings and their implications. In conclusion, the study by Saffar et al. provides important interim data related to valve replacement outcomes, but addressing the above-stated methodological concerns, such as the addition of more transparent design frameworks, correct consideration of competing risk, and better-performing prognostic strategies, would not only increase analytical accuracy but also clinical utility for the conduct of future work in this important field. The authors have nothing to report. The authors have nothing to report. The authors have nothing to report. The authors declare no conflicts of interest. The authors have nothing to report.

Catheterization and Cardiovascular InterventionsVol. 107(3)
Allama Iqbal Medical College (PK)
Openalex Percentile: Top 44%
Cardiac Valve Diseases 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.