In-Hospital Mortality Risk Factor Analysis in Multivessel Percutaneous Coronary Intervention Inpatient Recipients in the United States

被引:1
作者
Tummala, Ravi [1 ]
Shah, Suchi D. [2 ]
Rawal, Era [3 ]
Sandhu, Ramneek K. [4 ]
Kavuri, Swathi P. [5 ]
Kaur, Gagan [6 ]
Khan, Asma T. [7 ]
Mathialagan, Keerthika [8 ]
Ajibawo, Temitope [9 ]
机构
[1] Narayana Med Coll, Internal Med, Nellore, India
[2] Ahmedabad Municipal Corp Med Educ Trust Med Coll, Internal Med, Ahmadabad, Gujarat, India
[3] Norv Int Hosp, Cardiol, Kathmandu, Nepal
[4] Sri Guru Ram Das Inst Med Sci & Res, Internal Med, Amritsar, Punjab, India
[5] Sri Ramachandra Inst Higher Educ & Res, Internal Med, Chennai, Tamil Nadu, India
[6] Sri Guru Ram Das Inst Med Sci & Res, Surg, Amritsar, Punjab, India
[7] Larkin Community Hosp, Internal Med, South Miami, FL USA
[8] Sree Balaji Med Coll & Hosp, Psychiat, Chennai, Tamil Nadu, India
[9] Brookdale Univ Hosp Med Ctr, Internal Med, New York, NY USA
关键词
acute myocardial infarction; primary pci; primary percutaneous coronary intervention (pci); in-hospital mortality; nationwide inpatient sample (nis); perioperative mortality; REVASCULARIZATION; DISPARITIES; OUTCOMES; SURGERY; DISEASE; DEATH;
D O I
10.7759/cureus.17520
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives The primary goal of our study is to evaluate the mortality rate in inpatient recipients of multivessel percutaneous coronary intervention (MVPCI) and to evaluate the demographic risk factors and medical complications that increase the risk of in-hospital mortality. Methods We conducted a cross-sectional study using the Nationwide Inpatient Sample (NIS, 2016) and included 127,145 inpatients who received MVPCI as a primary procedure in United States' hospitals. We used a multivariable logistic regression model adjusted for demographic confounders to measure the odds ratio (OR) of association of medical complications and in-hospital mortality risk in MVPCI recipients. Results The in-hospital mortality rate was 2% in MVPCI recipients and was seen majorly in older-age adults (>64 years, 74%) and males (61%). Even though the prevalence of mortality among females was comparatively low, yet in the regression model, they were at a higher risk for in-hospital mortality than males (OR 1.2; 95% CI 1.13-1.37). While comparing ethnicities, in-hospital mortality was prevalent in whites (79%) followed by blacks (9%) and Hispanics (7.5%). Patients who developed cardiogenic shock were at higher odds of inhospital mortality (OR 9.2; 95% CI 8.27-10.24) followed by respiratory failure (OR 5.9; 95% CI 5.39-6.64) and ventricular fibrillation (OR 3.5; 95% CI 3.18-3.92). Conclusion Accelerated use of MVPCI made it important to study in-hospital mortality risk factors allowing us to devise strategies to improve the utilization and improve the quality of life of these at-risk patients. Despite its effectiveness and comparatively lower mortality profile, aggressive usage of MVPCI is restricted due to the periprocedural complications and morbidity profile of the patients.
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