Validation of Risk Stratification for Cardiac Events in Pregnant Women With Valvular Heart Disease

被引:6
作者
Pande, Swaraj Nandini [1 ]
Suriya, J. Yavana [1 ]
Ganapathy, Sachit [2 ]
Pillai, Ajith Ananthakrishna [3 ]
Satheesh, Santhosh [3 ]
Mondal, Nivedita [4 ]
Kumar, K. T. Harichandra
Silversides, Candice [5 ]
Siu, Samuel C. [5 ,6 ]
D'Souza, Rohan [7 ]
Keepanasseril, Anish [1 ,8 ]
机构
[1] Jawaharlal Inst Postgrad Med Educ & Res JIPMER, Dept Obstet & Gynaecol, Pondicherry, India
[2] Jawaharlal Inst Postgrad Med Educ & Res JIPMER, Dept Biostat, Pondicherry, India
[3] Jawaharlal Inst Postgrad Med Educ & Res JIPMER, Dept Cardiol, Pondicherry, India
[4] Jawaharlal Inst Postgrad Med Educ & Res JIPMER, Dept Neonatol, Pondicherry, India
[5] Univ Toronto, Div Cardiol, Pregnancy & Heart Dis Program, Mount Sinai & Toronto General Hosp,, Toronto, ON, Canada
[6] Univ Western Ontario, Div Cardiol, London, ON, Canada
[7] McMaster Univ, Dept Obstet & Gynaecol & Hlth Res Methods Evidence, Hamilton, ON, Canada
[8] Jawaharlal Inst Postgrad Med Educ & Res JIPMER, Dept Obstet & Gynaecol, Dhanvantri Nagar, Pondicherry 605006, India
关键词
CARPREG-II score; composite adverse cardiac outcome; DEVI score; pregnancy; rheumatic heart disease; risk stratification; valvular heart disease; ECHOCARDIOGRAPHY RECOMMENDATIONS; EUROPEAN ASSOCIATION; REGURGITATION; OUTCOMES;
D O I
10.1016/j.jacc.2023.07.023
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND Most risk stratification tools for pregnant patients with heart disease were developed in high-income countries and in populations with predominantly congenital heart disease, and therefore, may not be generalizable to those with valvular heart disease (VHD).OBJECTIVES The purpose of this study was to validate and establish the clinical utility of 2 risk stratification tools- DEVI (VHD-specific tool) and CARPREG-II-for predicting adverse cardiac events in pregnant patients with VHD.METHODS We conducted a cohort study involving consecutive pregnancies complicated with VHD admitted to a tertiary center in a middle-income setting from January 2019 to April 2022. Individual risk for adverse composite cardiac events was calculated using DEVI and CARPREG-II models. Performance was assessed through discrimination and calibration characteristics. Clinical utility was evaluated with Decision Curve Analysis.RESULTS Of 577 eligible pregnancies, 69 (12.1%) experienced a component of the composite outcome. A majority (94.7%) had rheumatic etiology, with mitral regurgitation as the predominant lesion (48.2%). The area under the receiver-operating characteristic curve was 0.884 (95% CI: 0.844-0.923) for the DEVI and 0.808 (95% CI: 0.753-0.863) for the CARPREG-II models. Calibration plots suggested that DEVI score overestimates risk at higher probabilities, whereas CARPREG-II score overestimates risk at both extremes and underestimates risk at middle probabilities. Decision curve analysis demonstrated that both models were useful across predicted probability thresholds between 10% and 50%.CONCLUSIONS In pregnant patients with VHD, DEVI and CARPREG-II scores showed good discriminative ability and clinical utility across a range of probabilities. The DEVI score showed better agreement between predicted probabilities and observed events. (J Am Coll Cardiol 2023;82:1395-1406) (c) 2023 by the American College of Cardiology Foundation.
引用
收藏
页码:1395 / 1406
页数:12
相关论文
共 25 条
[1]   Prediction of adverse cardiac events in pregnant women with valvular rheumatic heart disease [J].
Baghel, Jyoti ;
Keepanasseril, Anish ;
Pillai, Ajith Ananthakrishna ;
Mondal, Nivedita ;
Jeganathan, Yavanasuriya ;
Kundra, Pankaj .
HEART, 2020, 106 (18) :1400-+
[2]   Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review [J].
Binuya, M. A. E. ;
Engelhardt, E. G. ;
Schats, W. ;
Schmidt, M. K. ;
Steyerberg, E. W. .
BMC MEDICAL RESEARCH METHODOLOGY, 2022, 22 (01)
[3]   Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review [J].
Chan, Jireh Yi-Le ;
Leow, Steven Mun Hong ;
Bea, Khean Thye ;
Cheng, Wai Khuen ;
Phoong, Seuk Wai ;
Hong, Zeng-Wei ;
Chen, Yen-Lin .
MATHEMATICS, 2022, 10 (08)
[4]   Assessing Cardiac Risk in Pregnant Women With Heart Disease: How Risk Scores Are Created and Their Role in Clinical Practice [J].
D'Souza, Rohan D. ;
Silversides, Candice K. ;
Tomlinson, George A. ;
Siu, Samuel C. .
CANADIAN JOURNAL OF CARDIOLOGY, 2020, 36 (07) :1011-1021
[5]   Pregnancy outcomes in women with significant valve disease: a systematic review and meta-analysis [J].
Ducas, Robin Alexandra ;
Javier, David A. ;
D'Souza, Rohan ;
Silversides, Candice K. ;
Tsang, Wendy .
HEART, 2020, 106 (07) :512-519
[6]   Rheumatic Heart Disease in Pregnancy Global Challenges and Clear Opportunities [J].
French, Katharine A. ;
Poppas, Athena .
CIRCULATION, 2018, 137 (08) :817-819
[7]   The REDCap consortium: Building an international community of software platform partners [J].
Harris, Paul A. ;
Taylor, Robert ;
Minor, Brenda L. ;
Elliott, Veida ;
Fernandez, Michelle ;
O'Neal, Lindsay ;
McLeod, Laura ;
Delacqua, Giovanni ;
Delacqua, Francesco ;
Kirby, Jacqueline ;
Duda, Stephany N. .
JOURNAL OF BIOMEDICAL INFORMATICS, 2019, 95
[8]   European Association of Echocardiography recommendations for the assessment of valvular regurgitation. Part 2: mitral and tricuspid regurgitation (native valve disease) [J].
Lancellotti, Patrizio ;
Moura, Luis ;
Pierard, Luc A. ;
Agricola, Eustachio ;
Popescu, Bogdan A. ;
Tribouilloy, Christophe ;
Hagendorff, Andreas ;
Monin, Jean-Luc ;
Badano, Luigi ;
Zamorano, Jose L. .
EUROPEAN JOURNAL OF ECHOCARDIOGRAPHY, 2010, 11 (04) :307-332
[9]   European Association of Echocardiography recommendations for the assessment of valvular regurgitation. Part 1: aortic and pulmonary regurgitation (native valve disease) [J].
Lancellotti, Patrizio ;
Tribouilloy, Christophe ;
Hagendorff, Andreas ;
Moura, Luis ;
Popescu, Bogdan A. ;
Agricola, Eustachio ;
Monin, Jean-Luc ;
Pierard, Luc A. ;
Badano, Luigi ;
Zamorano, Jose L. .
EUROPEAN JOURNAL OF ECHOCARDIOGRAPHY, 2010, 11 (03) :223-244
[10]   Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21st standard: analysis of CHERG datasets [J].
Lee, Anne C. C. ;
Kozuki, Naoko ;
Cousens, Simon ;
Stevens, Gretchen A. ;
Blencowe, Hannah ;
Silveira, Mariangela F. ;
Sania, Ayesha ;
Rosen, Heather E. ;
Schmiegelow, Christentze ;
Adair, Linda S. ;
Baqui, Abdullah H. ;
Barros, Fernando C. ;
Bhutta, Zulfiqar A. ;
Caulfield, Laura E. ;
Christian, Parul ;
Clarke, Sian E. ;
Fawzi, Wafaie ;
Gonzalez, Rogelio ;
Humphrey, Jean ;
Huybregts, Lieven ;
Kariuki, Simon ;
Kolsteren, Patrick ;
Lusingu, John ;
Manandhar, Dharma ;
Mongkolchati, Aroonsri ;
Mullany, Luke C. ;
Ndyomugyenyi, Richard ;
Jyh Kae Nien ;
Roberfroid, Dominique ;
Saville, Naomi ;
Terlouw, Dianne J. ;
Tielsch, James M. ;
Victora, Cesar G. ;
Velaphi, Sithembiso C. ;
Watson-Jones, Deborah ;
Willey, Barbara A. ;
Ezzati, Majid ;
Lawn, Joy E. ;
Black, Robert E. ;
Katz, Joanne .
BMJ-BRITISH MEDICAL JOURNAL, 2017, 358