Factors Associated with Cardiovascular Complications and Mortality in Patients with Covid-19 Treated at Care Sites in Benin between 2020 and 2021

Research Article

Austin Cardiol. 2022; 7(1): 1033.

Factors Associated with Cardiovascular Complications and Mortality in Patients with Covid-19 Treated at Care Sites in Benin between 2020 and 2021

Codjo LH1,6, Dohou SHM2*, Attinsounon CA3,6, Houndjo WD2, Amegan HN4,6, Biaou COA5, Glele Aho RG6, Hounkponou JB6, Setondji FK6, Tchounja R1, Agbanglan H6, Dossou AD6, Ahounou E6, Kpanou G6, Assavedo S6, Hounkpatin BB6 and Houenassi MD1,6

1Cardiology Teaching and Research Unit, Faculty of Health Sciences, University of Abomey Calavi, Benin

2Teaching and Research Unit in Cardiology, Faculty of Medicine, University of Parakou, Benin

3Teaching and Research Unit in Infectiology, Faculty of Medicine, University of Parakou, Benin

4Doctoral School of Health Sciences, University of Abomey-Calavi, Benin

5Regional Institute of Public Health, University of Abomey-Calavi, Benin

6Epidemic Treatment Centers, Ministry of Health, Benin

*Corresponding author:Dohou SHM, Teaching and Research Unit in Cardiology, Faculty of Medicine, University of Parakou, BP: 03, Benin

Received: June 30, 2022; Accepted: August 24, 2022; Published: August 31, 2022

Abstract

Introduction: COVID-19 is a viral infectious disease caused by SARSCoV- 2. Mortality from this disease is significant in subjects with cardiovascular comorbidity. The objective of this work was to study the factors associated with cardiovascular complications and mortality in patients treated for COVID-19 in Benin between 2020 and 2021.

Methods: The study was descriptive cross-sectional with an analytical aim and took place from March 16, 2020 to June 30, 2021 in the Epidemic Treatment Centers of Benin. Patients with COVID-19 confirmed by PCR or imaging were included. Data were collected from medical records, entered with the KoboCollect application and processed with SPSS 21 software. The level of significance was set at 5%.

Results: Of the 1265 patients, the main cardiovascular comorbidities found were hypertension (45.2%), diabetes (24.3%), obesity (11.2%), stroke (5 .5%) and heart disease (4.4%). The evolution was simple with recovery in 83.5% of patients. Cardiovascular complications were observed in 20.1% of cases. The mortality rate was 16.5%. The factors associated with cardiovascular complications were age ≥ 50 years (p=0.013), history of stroke (p=0.003) and severity of COVID-19 (p< 0.001). The factors associated with mortality were the severity of the case (p< 0.001), the existence of comorbidities such as cancer (p=0.012), chronic renal failure (p< 0.001) and decompensation of pre-existing heart disease (p=0.019).

Conclusion: Cardiovascular complications and mortality related to COVID-19 are more observed in patients with cardiovascular comorbidity, renal failure or cancer. Preventive actions should be more rigorous in the latter.

Keywords: Cardiovascular complications; Mortality; Comorbidity; COVID-19; Benin

Introduction

Emerging in Wuhan city (Hubei province, China) in December 2019, the SARS-CoV-2 infection has rapidly spread worldwide, becoming a pandemic responsible for numerous deaths. SARSCoV- 2 is the second coronavirus which can cause the severe acute respiratory syndrome. The disease due to this coronavirus is called COVID-19 [1].

The SARS-Cov-2 interacts with the cardiovascular system on several levels. On one hand, it increases the mortality in patients suffering from cardiovascular diseases and on another hand it causes direct damage to the layers of the heart [2]. Indeed, regarding patients with COVID-19, Farhat Sameh Ben reported in October 2021, that higher mortality rates in patients with cardiovascular diseases (10.5%), diabetes (7.3%) and hypertension (HTN) (6%) compared to the overall mortality rate which did not exceed 2.3% [3].

According to Shi and al, Greater proportions of patients with cardiac injury required noninvasive mechanical ventilation (38 of 82 [46.3%] vs 13 of 334 [3.9%]; P < .001) or invasive mechanical ventilation (18 of 82 [22.0%] vs 14 of 334 [4.2%]; P < .001) than those without cardiac injury. Complications were more common in patients with cardiac injury than those without cardiac injury and included acute respiratory distress syndrome (48 of 82 [58.5%] vs 49 of 334 [14.7%]; P < .001), acute kidney injury (7 of 82 [8.5%] vs 1 of 334 [0.3%]; P < .001), electrolyte disturbances (13 of 82 [15.9%] vs 17 of 334 [5.1%]; P = .003), hypoproteinemia (11 of 82 [13.4%] vs 16 of 334 [4.8%]; P = .01), and coagulation disorders (6 of 82 [7.3%] vs 6 of 334 [1.8%]; P = .02) and patients with cardiac injury had higher mortality than those without cardiac injury (42 of 82 [51.2%] vs 15 of 334 [4.5%]; P < .001) [4].

In Benin, as of February 2021, national statistics reported 4,625 confirmed cases of COVID-19, of which 3,781 recovered. There were 732 hospitalized patients including 66 severe cases and 56 deaths recorded to that date. According to data from the Benin Ministry of Healthhypothesied that these severe cases were mainly recorded among ageing people (aged over 60 years)with comorbidities [5].

We then report from this work which aimed to study the risk factors for cardiovascular complications and mortality among patients with COVID-19 treated at care sites in Benin between 2020 and 2021.

Patients and Methods

This study took place in the three Epidemic Treatment Centres (ETC) in Benin (Allada, former police school in Cotonou, Army Training Hospital in Parakou (HIA)) over of 16 months from March 16, 2020 to June 30, 2021.

This was a descriptive and analytical cross-sectional study with retrospective data collection.

We included in the study patients hospitalized in one of the ETCs for COVID-19 and with an available medical file. The diagnosis of COVID-19 was retained in all hospitalized patients with a positive Polymerase Chain Reaction (PCR) and/or radiological or CT images characteristic of COVID-19. In Benin laboratories, PCR or RT-PCR (reverse transcriptase polymerase chain reaction) is the detection of the viral genome (RNA) in the upper airways according to the Berlin protocol [6]. In imaging, this involved the demonstration of bilateral ground-glass patterns in the peripheral, posterior and basal subpleural areas [7,8].

Suspicious unconfirmed patients who did not have a positive PCR; a characteristic chest CT scan, or those who benefited from a sanitary evacuation were excluded.

Cardiovascular complications and death were the dependent variables studied in patients hospitalized for COVID-19. Cardiovascular complications were: pericarditis, myocarditis, acute coronary syndrome, cardiac arrhythmias, heart failure, pulmonary embolism and cardiogenic shock. These different pathologies were identified according to the classic diagnostic criteria. Death was retained by a medical doctor in the presence of a prolonged and irreversible cardiac arrest.

The other variables studied were: clinical recovery, sociodemographic characteristics (age, sex, and occupation), the severity of the case (simple case, moderate case, and severe case), the patient’s cardiovascular background, and other chronic non-cardiovascular pathologies (HIV, cancer, chronic respiratory disease, sickle cell disease, and chronic renal failure). The case was said to be simple when the patient suffering from COVID-19 had no comorbidities and presented neither dyspnoea nor a clinical condition requiring specific assistance. The case was said to be moderate when the patient suffering from COVID-19 had comorbidity (hypertension, diabetes, asthma, etc.) but presented neither dyspnoea nor a clinical condition requiring specific assistance. COVID-19 was classified as severe when the patient presented with dyspnoea or a clinical condition requiring respiratory support. This respiratory assistance could be oxygen therapy by nasal cannula (severe grade 1), high concentration mask (severe grade 2), non-invasive ventilation or orotracheal intubation (severe grade 3) [9]. The cardiovascular background was assessed based on cardiovascular risk factors (smoking, dyslipidaemia, general obesity, hypertension, diabetes and age) and pre-existing cardiovascular conditions (stroke, coronary disease and the various documented heart diseases). A patient was said to have clinical recovered if, after hospitalisation and put on treatment, there is a regression of symptoms with two consecutive negative PCR test results [10].

Cardiovascular manifestations during COVID-19 sought were pericarditis, myocarditis, acute coronary syndrome, cardiac arrhythmias, heart failure, pulmonary embolism, cardiogenic shock and decompensation of pre-existing heart disease. Each of these diagnoses was confirmed by a cardiologist based on the appropriate and recommended clinical and paraclinical investigations. On each ETC, there was at least one cardiologist and, the various recommendations of the European Society of Cardiology served as references for the decisions on cardiovascular care for each patient.

The medical records of eligible hospitalized patients on the three ETCs were systematically identified and analysed. The data collected was entered using Kobocollect software, edited and processed with SPSS 21 French version software.

The qualitative variables were described as proportions, and the quantitative variables were expressed as means ± standard deviation or median with an interquartile range according to the normality of the distribution.

In univariate analysis, the percentages were compared with Karl Pearson’s uncorrected Chi-square (χ2) test, or Fisher’s exact test depending on the case, and the means with the Student’s t-test. In multivariate analysis, we performed a binary logistic regression using Wald’s “step-down” method. The association between the identified factors and the variable of interest was determined by the odds ratio (OR) and its 95% confidence interval.

The initial regression model included variables with a level of significance of p < 0.20 and forced variables (p>0.20) established in the literature as being risk factors for complications or death.

A threshold of p < 0.05 was used to retain the significant risk factors in the final models.

Results

During the period of our study, 1265 patients were selected out of the 1375 patients admitted to the three ETCs in Benin. Figure 1 shows the patient selection.