PMID- 37545120
OWN - NLM
STAT- MEDLINE
DCOM- 20230905
LR  - 20230906
IS  - 1542-474X (Electronic)
IS  - 1082-720X (Print)
IS  - 1082-720X (Linking)
VI  - 28
IP  - 5
DP  - 2023 Sep
TI  - Predicting stroke and mortality in mitral stenosis with atrial flutter: A machine 
      learning approach.
PG  - e13078
LID - 10.1111/anec.13078 [doi]
LID - e13078
AB  - BACKGROUND: Our study hypothesized that an intelligent gradient boosting machine 
      (GBM) model can predict cerebrovascular events and all-cause mortality in mitral 
      stenosis (MS) with atrial flutter (AFL) by recognizing comorbidities, 
      electrocardiographic and echocardiographic parameters. METHODS: The machine 
      learning model was used as a statistical analyzer in recognizing the key risk 
      factors and high-risk features with either outcome of cerebrovascular events or 
      mortality. RESULTS: A total of 2184 patients with their chart data and imaging 
      studies were included and the GBM analysis demonstrated mitral valve area (MVA), 
      right ventricular systolic pressure, pulmonary artery pressure (PAP), left 
      ventricular ejection fraction (LVEF), New York Heart Association (NYHA) class, 
      and surgery as the most significant predictors of transient ischemic attack 
      (TIA/stroke). MVA, PAP, LVEF, creatinine, hemoglobin, and diastolic blood 
      pressure were predictors for all-cause mortality. CONCLUSION: The GBM model 
      assimilates clinical data from all diagnostic modalities and significantly 
      improves risk prediction performance and identification of key variables for the 
      outcome of MS with AFL.
CI  - (c) 2023 The Authors. Annals of Noninvasive Electrocardiology published by Wiley 
      Periodicals LLC.
FAU - Rauf, Amer
AU  - Rauf A
AD  - Department of Electrophysiology, Armed Forces Institute of Cardiology, 
      Rawalpindi, Pakistan.
FAU - Ullah, Asif
AU  - Ullah A
AD  - Department of Cardiology, KMU Institute of Medical Sciences, Kohat, Pakistan.
FAU - Rathi, Usha
AU  - Rathi U
AD  - Abbasi Shaheed Hospital, Karachi, Pakistan.
FAU - Ashfaq, Zainab
AU  - Ashfaq Z
AUID- ORCID: 0000-0003-2645-1718
AD  - Department of Medicine, CMH Lahore Medical College, Lahore, Pakistan.
FAU - Ullah, Hidayat
AU  - Ullah H
AD  - Department of Cardiology, Pakistan Atomic Energy Commission Hospital, Islamabad, 
      Pakistan.
FAU - Ashraf, Amna
AU  - Ashraf A
AD  - Department of Medicine, Military Hospital Rawalpindi, Rawalpindi, Pakistan.
FAU - Kumar, Jateesh
AU  - Kumar J
AD  - Department of Medicine, Jinnah Sindh Medical University, Karachi, Pakistan.
FAU - Faraz, Maria
AU  - Faraz M
AD  - Department of Business Development, Bahria University, Islamabad, Pakistan.
FAU - Akhtar, Waheed
AU  - Akhtar W
AD  - Department of Cardiology, Abbas Institute of Medical Sciences, Muzaffarabad, 
      Pakistan.
FAU - Mehmoodi, Amin
AU  - Mehmoodi A
AUID- ORCID: 0000-0002-9343-4187
AD  - Department of Medicine, Ibn e Seena Hospital, Kabul, Afghanistan.
FAU - Malik, Jahanzeb
AU  - Malik J
AD  - Department of Electrophysiology, Armed Forces Institute of Cardiology, 
      Rawalpindi, Pakistan.
AD  - Department of Cardiovascular Research, Cardiovascular Analytics Group, 
      Rawalpindi, Pakistan.
LA  - eng
PT  - Journal Article
DEP - 20230806
PL  - United States
TA  - Ann Noninvasive Electrocardiol
JT  - Annals of noninvasive electrocardiology : the official journal of the 
      International Society for Holter and Noninvasive Electrocardiology, Inc
JID - 9607443
SB  - IM
MH  - Humans
MH  - *Mitral Valve Stenosis/complications/diagnostic imaging
MH  - *Atrial Flutter/complications
MH  - Ventricular Function, Left
MH  - Stroke Volume
MH  - Electrocardiography
MH  - *Stroke/complications
PMC - PMC10475890
OTO - NOTNLM
OT  - decision tree
OT  - graded boosting machine
OT  - interpretable model
OT  - regression
OT  - supervised learning
COIS- The authors declare no competing interests.
EDAT- 2023/08/07 06:42
MHDA- 2023/09/05 06:41
PMCR- 2023/08/06
CRDT- 2023/08/07 01:44
PHST- 2023/07/22 00:00 [revised]
PHST- 2023/01/27 00:00 [received]
PHST- 2023/07/26 00:00 [accepted]
PHST- 2023/09/05 06:41 [medline]
PHST- 2023/08/07 06:42 [pubmed]
PHST- 2023/08/07 01:44 [entrez]
PHST- 2023/08/06 00:00 [pmc-release]
AID - ANEC13078 [pii]
AID - 10.1111/anec.13078 [doi]
PST - ppublish
SO  - Ann Noninvasive Electrocardiol. 2023 Sep;28(5):e13078. doi: 10.1111/anec.13078. 
      Epub 2023 Aug 6.