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Cardiovascular complications and its impact on outcomes in COVID-19: An original research
Prashant Kumar1, Kaousthubh Tiwari2, Siva Kumar Pendyala3, Ratnesh Kumar Jaiswal4, Neelathil Lisa Chacko5, Ekta Srivastava6, Rahul V C Tiwari7
1 Department of Cardiology, Rajendra Institute of Medical Science, Ranchi, Jharkhand, India
2 General Physician, Rollz India Waste Management Pvt. Ltd, Ghaziabad, Uttar Pradesh, India
3 Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, AIMST University, Kedah, Malaysia
4 Department of Periodontics, RUHS College of Dental Sciences, Jaipur, Rajasthan, India
5 Department of Periodontics, SMBT Dental College and Postgraduate Centre, Sangamner, Maharashtra, India
6 Department of Pediatric and Preventive Dentistry, SMBT Dental College and Hospital, Sangamner, Maharashtra, India
7 Department of OMFS, Narsinbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India
Correspondence Address:
Rahul V C Tiwari
Department of OMFS, Narsinbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar - 384 315, Gujarat
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jpbs.jpbs_143_21
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Introduction: The viral infection COVID-19 is highly infectious and has claimed many lives till date and is still continuing to consume lives. In the COVID-19, along with pulmonary symptoms, cardiovascular (CV) events were also recorded that have known to significantly contribute to the mortality. In our study, we designed and validated a new risk score that can predict CV events, and also evaluated the effect of these complications on the prognosis in COVID-19 patients. Materials and Methods: A retrospective, multicenter, observational study was done among 1000 laboratory-confirmed COVID-19 patients between June 2020 and December 2020. All the data of the clinical and laboratory parameters were collected. Patients were randomly divided into two groups for testing and validating the hypothesis. The identification of the independent risk factors was done by the logistic regression analysis method. Results: Of all the types of the clinical and laboratory parameters, ten “independent risk factors” were identified associated with CV events in Group A: male gender, older age, chronic heart disease, cough, lymphocyte count <1.1 × 109/L at admission, blood urea nitrogen >7 mmol/L at admission, estimated glomerular filtration rate <90 ml/min/1.73 m2 at admission, activated partial thromboplastin time >37 S, D-dimer, and procalcitonin >0.5 mg/L. In our study, we found that CV events were significantly related with inferior prognosis (P < 0.001). Conclusions: A new risk scoring system was designed in our study, which may be used as a predictive tool for CV complications among the patients with COVID-19 infection.
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