key: cord-0862000-mst36w6t authors: Yousif, Mohammed Yousif Elnaeem; Eljack, Mohammed Mahmmoud Fadel Allah; Haroun, Mazin S.; Abbasher Hussien Mohamed Ahmed, Khabab; Amir, Osman; Alfatih, Mohammed; Al Shiekh, Akram Khalid Al Tigany; Ahmed, Mazin Abdelraham Osman; Nour, Alshareef; Alhusseini, Radi Tofaha; Osman, Waddah Aljaely Mohammed; Abdulkarim, Mohamed; Omer, Mohammed Eltahier Abdalla; Mahgoub, Ibrahim M. title: Clinical Characteristics and Risk Factors Associated with Severe Disease Progression among COVID‐19 Patients In Wad Medani Isolation Centers: A Multicenter Retrospective Cross‐Sectional Study date: 2022-02-28 journal: Health Sci Rep DOI: 10.1002/hsr2.523 sha: 8df7390491bbcdb096348c72900d167a2419469e doc_id: 862000 cord_uid: mst36w6t BACKGROUND: Since December 2019, (COVID‐19) has had a significant impact on global health systems. Because little is known about the clinical characteristics and risk factors connected with COVID‐19 severity in Sudanese patients, it is vital to summarize the clinical characteristics of COVID‐19 patients and to investigate the risk factors linked to COVID‐19 severity. OBJECTIVES: We aimed to assess the clinical characteristics of COVID‐19 patients and look into risk factors associated with COVID‐19 severity. METHODS: This is a retrospective cross‐sectional study that took place in two Isolation Centers in Wad Medani, Gezira State, Sudan. Four hundred and eighteen patients were included between May 2020 and May 2021. All COVID‐19 patients over the age of 18 who were proven COVID‐19 positive by nucleic acid testing or had characteristics suggestive of COVID‐19 on a chest CT scan and had a complete medical record in the study period were included. RESULTS: The participants in this study were 418 confirmed COVID‐19 cases with a median age of 66.313 years. There were 279 men (66.7%) among the patients. The most prevalent comorbidities were hypertension (n = 195; 46.7%) and diabetes (n = 187; 44.7%). Fever (n = 303; 72.5%), cough (n = 278; 66.5%), and dyspnea (n = 256; 61.2%) were the most prevalent symptoms at the onset of COVID‐19. The overall mortality rate (n = 148) was 35.4%. Patients with severe illness had a mortality rate of 42.3% (n = 118). Older age, anemia, neutrophilia, and lymphocytopenia, as well as higher glucose, HbA1c, and creatinine levels, were all linked to severe COVID‐19, according to the chi‐square test and analysis of variance analysis. CONCLUSION: Sixteen variables were found to be associated with COVID‐19 severity. These patients are more prone to go through a serious infection and as a result have a greater death rate than those who do not have these characteristics. The research was conducted in Wad Medani, the capital of Gezira State, Sudan's second most populous state with a population of 4 133 004. Patients from the states of Gezira, Sinnar, Blue Nile, Kassala, Al-Gadarif, and White Nile are treated at the 32 secondary and tertiary hospitals. Two isolation centers were involved in the study, the first (Soqatra Isolation Center) was composed of 65 beds for mild to moderate cases divided into a general ward (45 bed) and a high dependency unit (HDU) containing 20 Beds, 24-hour laboratory, pharmacy, and two ambulances. The second (Mycetoma Center) for critical cases with capacity of 10 ICU beds supplemented with 10 mechanical ventilators and two hemodialysis machines in addition to laboratory, pharmacy, and two ambulances. The two centers are referral centers that receive patients from all middle, eastern, and southern Sudan states (seven states). A semi-structured questionnaire with eight sections was utilized to obtain data from patient records. Personal information, comorbidities, symptoms, signs, laboratory investigations and radiographic results, clinical course, outcome, and length of illness were among the sections. The collection team was composed of 10 professional medical doctors, collecting data from May 2020 to May 2021. Total number of hospital records was 668 with 250 incomplete records, which were excluded. Data were collected using a well-structured pretested questionnaire composed of: demographic, comorbidities, clinical presentation, examination findings, laboratory investigations, radiological findings, and length of hospital stay and outcome. Follow-up was not conducted, as it was a retrospective cross-sectional study. According to the Sudanese Federal Ministry of Health's General Directorate of Health Emergencies and Epidemic Control, a triage protocol checklist for acute respiratory sickness at health institutions was designed on March 16, 2020. COVID-19 patients were divided into three groups: mild, moderate, and severe. See Appendix A. Patients diagnosed with COVID-19 of both genders who were admitted to Wad Medani isolation centers in Gezira State, Sudan, formed the study's target group. We included 418 patients between May 2020 and May 2021 (patients who were physically admitted to and stayed in the isolation centers in the study period). The researchers used a data collection form (Appendix A) to obtain data from medical records. The Statistical Package for Social Science was used to conduct the statistical analysis (SPSS, Version 24) . The association between the variables was determined using chi-square and analysis of variance testing, and the results were presented in the form of tables and figures. The ethical approval of each center's ethical committee was acquired. Before inputting his or her data into the records system, each patient or patient's guardian (who is designated to provide consent for the individual) gave written and verbal consent to participate in this study. As illustrated in Figure 1 , the overall mortality rate was 35 according to this protocol. The majority of cases were men, which is consistent with a Sudanese research. 12 Males had higher infection rates and more severe symptoms in a research study conducted in Bangladesh. 13 Due to the negligent attitude regarding the COVID-19 pandemic, males had higher rates of infections in a research study conducted in Spain. 14 Males are more susceptible to viral infections due to steroid hormones, changes in innate immunity, and lower antibody concentrations in the circulation. 15 Hypertension and diabetes were the most common comorbidities, according to the study. Diabetes has been associated with a poor prognosis and a greater death rate in COVID-19 patients. Diabetes was shown to be two times as common in patients in intensive care units. [16] [17] [18] Fever was the most common reported symptom of COVID-19 in our study. This finding is consistent with the findings of another study conducted in Sudan, in which fever was the most prevalent symptom. 12 We discovered that elderly patients were more likely to have serious illness. This is consistent with the findings of a global systematic review and meta-analysis that identified old age as a risk factor for severe disease. 19 This could be attributable to aging-related comorbidities, as well as a less functional immune system. Patients with a high rate of CVD comorbidities were found to have a higher risk of severe illness in our study. This is similar to a meta-analysis that found that COVID-19 patients with CVD had a worse prognosis. 20 Severe COVID-19 complications have been linked to cardiovascular disease, hypertension, and chronic renal disease. [21] [22] [23] Dyspnea is also substantially related to severe illness, according to our findings. This is consistent with findings from a national survey in South Korea, which found that dyspnea increased the likelihood of severe COVID-19. 24 The presence of a headache was found to be substantially linked to the severity of the condition. In contrast, a study found that not having a headache was linked to the advancement of COVID-19 disease severity stages. 24 In COVID-19 individuals, no particular pathways for headache have been identified. However, one theory argues that activation of the trigeminal nerve endings in the periphery, followed by sensitization of numerous brain regions, is one of the key pathomechanisms of headache in these people. Neurological symptoms were found to be substantially related to severe COVID-19 infection. 25 This is consistent with research 26 that looked at neurological signs as a risk factor for severe COVID-19 mortality. Our patients with severe disease had considerably higher respiratory rates and pulse rates than those with moderate and mild infection during evaluation. Patients with rapid pulse and respiratory rates were indicated as clinical features of severe COVID-19 disease in one study. 16 We also discovered that severe infection was related to anemia, comparable to previous research that linked low hemoglobin levels to severe COVID-19 disease. 27, 28 In our research, we discovered that malaria coinfection at the time of presentation is linked to severe disease. This is consistent with a study that found that coinfection can reflect the intensity and bad effects of COVID-19 infection when compared to COVID-19 alone. 29 Sudan is endemic with malaria, onchocerciasis, leishmaniasis, and zoonotic arboviral infections. Dengue fever is located in the west of Sudan, while Chikungunya is found in the east. 30 lives. We discovered that neutrophilia is strongly linked to the severe form of the disease, which is consistent with findings from a study on Neutrophils in COVID-19, which found that severe COVID-19 disease is associated with elevated neutrophil levels. 37 Lymphocytopenia was also found to be strongly linked to the severity of the condition. Lympopenia was found to be more prevalent in severe COVID-19 disease in one study. 16 In COVID-19 patients with lymphopenia; presence of PD1 and TIM3 indicates T cell exhaustion. 38 T cell exhaustion may cause reinfection. 39, 40 In COVID-19 patients with lymphopenia, there might be a suboptimal production of anti-COVID-19 antibodies, in addition to improper functions of T cells, which may lead to reinfection. Lymphopenia can increase proinflammatory cytokines, most importantly, IL-6. Detectable serum SARS-CoV-2 viral load is correlated with increased levels of interleukin 6 in critically ill COVID-19 patients, 41 We emphasize the importance of compliance to protective measures such as social distancing and vaccination to avoid infection and possible severe complications. We also emphasize the importance of developing the healthcare sector in order to save patients' lives. Our study has a number of strengths. This is the first retrospective analytical cross-sectional study done in Sudan concerning this topic. We were very selective with inclusion and exclusion criteria. As any other study, our study had some limitations. First of all, this study was a retrospective analytical cross-sectional study, lacking the validation of prospective studies hence a lower accuracy. The retrospective design led to missing data and inevitable bias when selecting patients. A larger sample size would be needed to generalize results. Further research in other cohorts and clinical practice is needed to confirm our results. Second, when we collected data, a large number of patients were excluded because they had their files incomplete and could not be reached by phone, which may lead to potential selection bias. Despite the importance of radiography in the identification and diagnosis of COVID- 19 , not all patients underwent a chest imaging (chest CT scans and chest x-ray) examination at the time of admission. In addition, we could not access major isolation centers, which are located in Khartoum state. Sixteen variables were found to be associated with COVID-19 severity. Identifying these risk factors is crucial for early identification of the severe illness to improve the management of patients at risk and prevent disease progression. Multicenter studies will have better help to further determine the clinical characteristics and analysis of risk factors for disease progression in Sudan. Not applicable. 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