Risk Factors For Severe Disease Research Articles

Laboratory biomarker predictors for disease progression and outcome among Egyptian COVID-19 patients.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic resulted in more than five hundred million infected cases worldwide. The current study aimed to screen the correlation of different laboratory findings with disease severity and clinical outcomes of coronavirus disease (COVID-19) among Egyptian patients to obtain prognostic indicators of disease severity and outcome.A total of 112 laboratory-confirmed COVID-19 patients were examined. According to the severity of the disease, these patients were divided into three main groups: mild, moderate and severe cases. In addition, clinical characteristics and laboratory findings, including Hb, platelet count, white blood cell count, lymphocyte percentage, neutrophil percentage, neutrophil lymphocyte ratio (NLR), D-dimer, highly sensitive C-reactive protein (HS-CRP), alanine aminotransferase (ALT), lactate dehydrogenase (LDH) and creatinine, were measured.The presence of hypertension and/or diabetes was found to be a significant risk factor for disease severity and poor outcome. Increased respiratory rate, levels of SpO2, HS-CRP, D-dimer, NLR, ALT, LDH, lymphopenia and neutrophilia, as well as changes in chest computed tomography (CT), were associated with increased disease severity and fatal consequences. Highly sensitive C-reactive protein, D-dimer, NLR and LDH constituted excellent predictors for both disease severity and death.Laboratory biomarkers, such as HS-CRP, D-dimer, NLR and LDH, are excellent predictors for both disease severity and death. They can predict mortality in patients at the time of admission secondary to SARS-CoV-2 infection and can help physicians identify high-risk patients before clinical deterioration.

Increasing burden of viral bronchiolitis in the pediatric intensive care unit; an observational study

Viral bronchiolitis is a major cause of pediatric intensive care unit (PICU) admission. Insight in the trends of bronchiolitis-associated PICU admissions is limited, but imperative for future PICU resource and capacity planning. We retrospectively studied trends in PICU admissions for bronchiolitis in six European sites, including three full national registries, between 2000 and 2019 and calculated population-based estimates per 100,000 children where appropriate. Information concerning risk factors for severe disease and use of invasive mechanical ventilation was also collected when available. In total, there were 15,606 PICU admissions for bronchiolitis. We observed an increase in the annual number, rate and estimates per 100,000 children of PICU admissions for bronchiolitis at all sites over the last two decades, while the proportion of patients at high risk for severe disease remained relatively stable. The international increased burden of bronchiolitis for the PICU is concerning, and warrants further international attention and investigation.

Review of COVID-19 in Children Admitted to King Fahad Hospital, Albaha, Saudi Arabia in 2020

Background: The coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified at the end of 2019 in Wuhan City, China and then spread worldwide. Objectives: The study aimed to evaluate COVID-19 symptoms, signs, management, and outcomes in admitted children. Methods: This retrospective cohort study was conducted at King Fahad Hospital, Albaha, Saudi Arabia, which is designated as the center for COVID-19 patients. Data were collected retrospectively between Apr 2020 and Mar 2021. The protocols of health authorities in Saudi Arabia were used for the diagnosis and management of all patients. Results: Positive test results were confirmed in 95 patients. Of these, 44 (46%) were males and 51 (54%) were females. Fever, cough, nasal congestion, sore throat, myalgia, and upper respiratory tract infections were the most common symptoms. The common comorbidities in this cohort were respiratory diseases (19%), type1 diabetes mellitus (16%), followed by obesity (11%), chronic kidney disease (4%), congenital heart diseases (2%), while in (48%) pts no comorbidity factors were reported. Fever was the most frequent symptom, reported in 95% of patients. Multisystem inflammatory syndrome (MIS-C) has been reported in one patient. Guillain-Barre syndrome was reported in one female patient and Kawasaki symptoms in one male patient. No mortality was reported. Conclusion: Most children with COVID-19 presented with mild clinical manifestations and good outcomes. No mortality was reported in this study. Obesity is a serious comorbidity and risk factor for severe diseases.

Gorlin Syndrome: Assessing Genotype-Phenotype Correlations and Analysis of Early Clinical Characteristics as Risk Factors for Disease Severity.

Gorlin syndrome (GS) is a rare genetic disorder characterized by lifetime risk of basal cell carcinomas (BCCs), skeletal anomalies (SAs), and other extracutaneous neoplasms. There is great variation in disease severity, and a genotype-phenotype correlation has not been well established. Here, we investigate whether patients' clinical characteristics predict disease severity to inform clinical decision making. Data of 248 patients with GS were collected between 2014 and 2021 from three institutions. Multivariable regression analyses were performed to investigate whether clinical characteristics predicted disease burden. Genotype-phenotype correlations were investigated in 40 patients. Patients with SAs had a mean increase of 120 lifetime BCCs (95% CI, 27.1 to 213) relative to patients without SAs. Those with ≥ 2 SAs had 2.45 increased odds (95% CI, 1.01 to 5.91) of advanced or metastatic BCCs. Moreover, the presence of multiple SAs was associated with 5.00 increased odds of having a keratocystic odontogenic tumor (95% CI, 2.22 to 11.3) and 2.79 increased odds of an ovarian fibroma (95% CI, 1.05 to 7.40). Genotype-phenotype analyses showed that missense/in-frame mutations were more likely to be hereditary compared with severe deleterious mutation types (100% v 27%; P = .004). In addition, heat map visualization illustrated that those with more deleterious variants, like large deletions, trended toward increased burden of SAs and BCCs per year. GS patients with SAs may be at greater risk for developing more numerous and severe BCCs and other neoplastic growths including keratocystic odontogenic tumors and ovarian fibromas. Current clinical guidelines suggest yearly follow-up in individuals with GS. Since SAs are usually recognized at the time of diagnosis, our results suggest that more vigilant lifetime multidisciplinary surveillance should be considered for these patients starting in childhood.

Role of Prostaglandin E2 in the Progression of Gastrointestinal Cancer.

Chronic inflammation is a well-established risk factor for several diseases, including cancer. It influences tumor cell biology and the type and density of immune cells in the tumor microenvironment (TME), promoting cancer development. While proinflammatory cytokines and chemokines modulate cancer development, emerging evidence has shown that prostaglandin E2 (PGE2) is a known mediator connecting chronic inflammation to cancerization. This review highlights recent advances in our understanding of how the elevation of PGE2 production promotes gastrointestinal cancer initiation, progression, invasion, metastasis, and recurrence, including modulation of immune checkpoint signaling and the type and density of immune cells in the tumor/tissue microenvironment.

COVID-19 Risk Factors for Disease Severity and Mortality: A Matter of Precision Medicine?

Context: As a contagious acute respiratory disease, COVID-19 was announced by the World Health Organization (WHO) as a pandemic on 11 March 2020. The clinical manifestation of COVID-19 includes fever, cough, taste/smell loss, and acute respiratory distress syndrome (ARDS) due to viral pneumonia. The severity of symptoms varies among patients ranging from asymptomatic to acute pneumonia. Predicting patients at risk and disease severity in the different patients is controversial. The prevention of rapid progression of the disease, better prognosis, and decline of mortality are possible by knowing the risk factors of the disease. There is an essential question about different patients experiencing the infection from asymptomatic to acute disease. Methods: For this study, we searched the databases including ISI Web of Science, Scopus, and PubMed with a combination of keywords COVID-19, COVID-19 risk factors, COVID-19 causes, and personalized medicine in COVID-19. All studies related to our study were searched for data collection. Results: The clinical variability of COVID-19 infection is associated with various risk factors like age, sex, comorbidity, lifestyle, virus mutation, host immune response, and genetic background. Conclusions: The studies reported the significant heterogeneity in risk and outcome of COVID-19 infection among patients. Individualized therapy can occur by unraveling various phenotypes and underlying pathobiology of COVID-19 infection.

Severe and critical COVID-19 in a tertiary center in Colombia, a retrospective cross-sectional study

BackgroundColombia has been one of the Latin American countries seriously affected by the covid-19 pandemic. Risk factors for severe disease and death in COVID 19 have been described across the world. Here we report the outcomes, clinical characteristics and risk factors for invasive mechanical ventilation and in-hospital death in a tertiary center in Palmira, Colombia.MethodsThis was a retrospective cross-sectional study involving one single center in Palmira, Colombia. People hospitalized with severe and critical covid-19, during the first pandemic wave, were included. The clinical characteristics and risk factors for in-hospital mortality and invasive mechanical ventilation were mean to be stablished by using a logistic regression analysis.ResultsOne hundred and fifty-eight patients were analyzed. Most patients were male (70%) with a mean age of 63 years, invasive mechanical ventilation was provided to 39%, in-hospital mortality was 36%, mainly caused by refractory hypoxemia and septic shock, admission to intensive care was as high as 65%. The logistic regression analysis showed that the risk factors for in-hospital mortality were elevated levels of lactic dehydrogenase and high-sensitivity troponin I, acute renal failure, COPD, and > 10 points on the MuLBSTA score. The risk factors for invasive mechanical ventilation were high levels of C-reactive protein and very low lymphocyte counts, a PaO2/FiO2 < 70 and some clinical scores like CURB65, NEWS 2, and PSI/PORT.ConclusionsDuring the first pandemic wave in Colombia, for the experience of a tertiary center with a mainly elderly population, a high prevalence of severe ARDS was found, high requirement of intensive care, invasive ventilatory support, bacterial sepsis and an elevated mortality rate were found. The risk factors for in-hospital death and invasive mechanical ventilation were stablished.

COVID-19 in Elderly Patients: Risk Factors for Disease Severity.

Determining the clinical characteristics associated with SARS-COV-2 infection may contribute to reducing mortality in elderly patients, considering the age-related sensitivity and the excess of complications. Our study aimed to evaluate the factors that determine the severity of the disease in elderly patients followed up in our hospital. The files of definite or probable COVID-19 patients over 65 years old who were followed up by the infectious diseases clinic of our hospital between March 15 and October 1, 2020, were evaluated retrospectively. A total of 134 patients were included in the study, 52.2% of the patients were male, and the mean age was 75.11±7.15 (min 65-max 94). Multimorbidity was detected in 42.5% of the patients, and the most common comorbidities were hypertension (53.7%) and diabetes mellitus (36.6%). Severe COVID-19 was present in 39.6% of patients. The most common complaints were fatigue (70.9%), cough (59.7%), and shortness of breath (59%). When the patients' computed tomography (CT) images of thorax were evaluated, ground-glass was observed in 94.8% (n=127), infiltration in 42.5% (n=57), and consolidation in 32.8% (n=44). Involvement was bilateral in 93.3% (n=125) of the patients. The most common antiviral treatment used for patients was favipiravir 73.1% (n=98). The average hospitalization period of the patients was 12±6.36 days, the rate of follow-up in the intensive care unit was 20.1% (n=27), and death occurred in 9.7% (n=13) of the patients. In the multivariate analysis, cough and shortness of breath at admission, atelectasis and pleural effusion on thorax CT were found to be significant for severe COVID-19 disease (p<0.05). Providing early medical support to these patients, especially, in the presence of cough and shortness of breath on admission and the presence of pleural effusion and atelectasis on thoracic CT, may help reduce the poor clinical course.

COVID-19 infection in hypereosinophilic syndrome: A survey-based analysis

COVID-19 infection in hypereosinophilic syndrome: A survey-based analysis

Clinical characteristics and viral analysis of severe influenza A [H1N1]pdm09 in Guangzhou, 2019.

To understand the clinical characteristics of and analyze viral genes in patients with severe pneumonia due to [H1N1]pdm09 influenza virus in Guangzhou, 2019. The clinical data of 120 inpatients with laboratory-confirmed influenza A [H1N1]pdm09 virus from January to March 2019 were collected and analyzed. The subjects were diagnosed according to the criteria of the "Diagnosis and Treatment Program of Influenza A H1N1 (third Edition 2009)" issued by the Ministry of Health and were divided into severe and nonsevere groups. Serum samples during fever were collected for cytokine analysis, and the viral genes were analyzed after the virus cultured in MDCK cells. The data were analyzed by SPSS 16 software, and the results of gene sequencing were analyzed by MEGA 6 software. Among the 120 inpatients, 36 (30%) were severe and 84 (70%) were nonsevere patients. The average age of severe patients was 53.11 ± 19.94 years, the average age of nonsevere patients, at 44.03 ± 24.47 years. There was no significant difference between the two groups (p < 0.05). There were significant differences in the rates of moist rales and dyspnea in critically ill patients (p < 0.05). There were significant differences in the white blood cell count (WBC), lactate dehydrogenase (LDH), creatine kinase (CK), serum creatinine (sCr), procalcitonin (PCT) and C-reactive protein (CRP) in severe patients with type A H1N1. Chest radiologic findings in severe patients showed ground glass shadows or pulmonary solid changes, and the difference was statistically significant for pulmonary fibrosis. Chronic lung disease (52.8%) and cardiovascular disease (27.8%) were independent risk factors for severe disease (p < 0.05). There were significant differences in secondary infections by Staphylococcus aureus (11.1%), pulmonary Aspergillus (22%) and Acinetobacter baumannii (16.7%) in critically ill patients (p < 0.05). Serum IL-8 in critically ill patients was significantly higher than those in nonsevere patients and healthy controls. The origin of virus strains in severe and nonsevere patients was the same, and there was no obvious mutation in the amino acid region of the antigenic site of the HA protein, but compared with the results of gene sequencing in previous years, the mutation sites showed a trend of annual accumulation. In conclusion, there was a high risk of severe pneumonia caused by H1N1 influenza A virus in Guangzhou in spring 2019. Long-term continuous surveillance, prevention and control of the virus should be carried out to predict its epidemiology and distribution.

Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China.

Fine particulate matter (PM2.5) and respirable particulate matter (PM10) are two major air pollutants with toxic effects on the cardiovascular system. Hypertension, as a chronic noncommunicable cardiovascular disease, is also a risk factor for several diseases. We applied generalized linear models with a quasi-Poisson link to assess the effect of air pollution exposure on the number of daily admissions for patients with hypertension. In addition, we established a two-pollutant model to evaluate PM2.5 and PM10 hazard effect stability by adjusting the other gaseous pollutants. Results showed that during the study period, 24 h mean concentrations of ambient PM2.5 and PM10 at 38.17 and 59.84 μg/m3, respectively, and a total of 2,611 hypertension hospital admissions were recorded. Air pollution concentrations significantly affected the number of hospitalizations for hypertension approximately 2 months after exposure. For each 10 μg/m3 increase in PM2.5 and PM10 in single-pollutant models, the number of hospitalizations for hypertension increased by 7.92% (95% CI: 5.48% to 10.42%) and 4.46% (95% CI: 2.86% to 5.65%), respectively, at the lag day with the strongest effect. NO2, O3, CO, and SO2 had different significant effects on the number of hospitalizations over the same time period, and PM2.5 and PM10 still showed robust significant effects after adjustment of gas pollutants through a two-pollutant model. These findings may contribute to a better understanding of the health effects of ambient particulate matter.

Increased visceral fat distribution and body composition impact cytokine release syndrome onset and severity after CD19 chimeric antigen receptor T-cell therapy in advanced B-cell malignancies.

Chimeric antigen receptor T-cell (CAR-T) therapy is associated with a distinct toxicity profile that includes cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). CRS is characterized by the release of pro-inflammatory cytokines such as interleukin 6 (IL-6) and is closely linked to CAR-T expansion and bystander cells like monocytes/macrophages. In other hyperinflammatory states, obesity contributes to inflammatory cascades and acts as a risk factor for disease severity. We aimed to study the influence of anthropometric and body composition (BC) measurements on CAR-T-related immunotoxicity in 64 patients receiving CD19-directed CAR-T for relapsed/refractory B-cell malignancies. Patients with grade ≥2 CRS presented with a significantly higher median body mass index (BMI), waist circumference, waist-to-height ratio (WtHR) and visceral adipose tissue (VAT). These parameters were also found to be associated with an earlier CRS onset. Other adipose deposits and muscle mass did not differ between patients with grade 0-1 CRS versus grade ≥2 CRS. Moreover, BC parameters did not influence ICANS severity or onset. In a multivariate binary logistic regression incorporating known risk factors of immunotoxicity, the factors BMI, waist circumference, WtHR and VAT increased the probability of grade ≥2 CRS. Receiver operating characteristic analyses were utilized to determine optimal discriminatory thresholds for these parameters. Patients above these thresholds displayed markedly increased peak IL-6 levels. Our data imply that increased body composition and VAT in particular represent an additional risk factor for severe and early CRS. These findings carry implications for risk-stratification prior to CD19 CAR-T and may be integrated into established risk models.

AACR Report on the Impact of COVID-19 on Cancer Research and Patient Care

<i>AACR Report on the Impact of COVID-19 on Cancer Research and Patient Care</i>

Outcomes of Breast Cancer Patients Treated with Chemotherapy, Biologic Therapy, Endocrine Therapy, or Active Surveillance During the COVID-19 Pandemic.

PurposeProvide real-world data regarding the risk for SARS-CoV-2 infection and mortality in breast cancer (BC) patients on active cancer treatment.MethodsClinical data were abstracted from the 3778 BC patients seen at a multisite cancer center in New York between February 1, 2020 and May 1, 2020, including patient demographics, tumor histology, cancer treatment, and SARS-CoV-2 testing results. Incidence of SARS-CoV-2 infection by treatment type (chemotherapy [CT] vs endocrine and/or HER2 directed therapy [E/H]) was compared by Inverse Probability of Treatment Weighting. In those diagnosed with SARS-CoV-2 infection, Mann–Whitney test was used to a assess risk factors for severe disease and mortality.ResultsThree thousand sixty-two patients met study inclusion criteria with 641 patients tested for SARS-COV-2 by RT-PCR or serology. Overall, 64 patients (2.1%) were diagnosed with SARS-CoV-2 infection by either serology, RT-PCR, or documented clinical diagnosis. Comparing matched patients who received chemotherapy (n = 379) with those who received non-cytotoxic therapies (n = 2343) the incidence of SARS-CoV-2 did not differ between treatment groups (weighted risk; 3.5% CT vs 2.7% E/H, P = .523). Twenty-seven patients (0.9%) expired over follow-up, with 10 deaths attributed to SARS-CoV-2 infection. Chemotherapy was not associated with increased risk for death following SARS-CoV-2 infection (weighted risk; 0.7% CT vs 0.1% E/H, P = .246). Advanced disease (stage IV), age, BMI, and Charlson’s Comorbidity Index score were associated with increased mortality following SARS-CoV-2 infection (P ≤ .05).ConclusionBC treatment, including chemotherapy, can be safely administered in the context of enhanced infectious precautions, and should not be withheld particularly when given for curative intent.

Comparative Analysis of Kidney Transplant Recipients with Severe Acute Respiratory Syndrome Coronavirus 2 Compared with Nonkidney Transplant Recipients: A Largest Single-center Report from the Second Wave of Coronavirus Disease 2019 Pandemic in South East Asia.

Outcomes of severe acute respiratory syndrome coronavirus 2 in kidney transplant recipients (KTR) compared with matched cohort are certainly lacking for different pandemic waves and geographic regions. In this single-center retrospective study of coronavirus disease-2019 (COVID-19) cases admitted during March 26, 2021 to June 7, 2021, a propensity-matched analysis in a 1:1 ratio was performed to compare the clinical profile and outcomes between KTR and non-KTR. A Cox proportional hazard model from the whole study population to analyze risk factors for severe disease and mortality was calculated. We identified 1052 COVID-19 cases, of which 107 (10.1%) were KTR. In propensity-matched analysis, KTR had higher fever (81.6 % vs. 60%; P = 0.01), lymphopenia (30% vs. 11.7%; P = 0.02), higher neutrophil-to-lymphocyte ratio (43.3% vs. 25%; P = 0.05), and acute kidney injury (66.6% vs. 36.7%; P = 0.001). In Kaplan-Meier survival analysis, there was no difference in mortality or severity of COVID-19. In Cox hazard proportional analysis, the European cooperative oncology group (ECOG) score of 1 to 2 [Hazard ratio (HR) 95% lower confidence interval (CI), upper CI = 4.9 (1.8-13.5); P <0.01], ECOG of >2 [HR = 20 (7.5, 54.7); P <0.01] and waitlisted status [HR = 1.9 (1.1-3.3); P = 0.02] was associated with significant mortality. Kidney transplantation [HR = 0.8 (0.47-1.44); P = 0.5] was not associated with mortality in the analysis. In our report, kidney transplantation status had a different spectrum but was not found to be independently associated with COVID-19 severity or mortality.

POS-899 RISKS ASSOCIATED WITH DEATH IN COVID-19 PATIENTS WHO UNDERWENT HEMODIALYSIS: AN EXPERIENCE IN COVID-19 REFERRAL HOSPITAL

Kidneys are frequently involved in COVID-19 infection both as repercussion of inflammation in form of AKI or Acute on CKD, or as a risk factor for severe disease in patients with CKD/ESKD. Studies reported that AKI requiring KRT in COVID-19 patients are associated with 1.73 fold risk of in-hospital mortality. Meanwhile, ESKD patients were contributed to 37% of mortality in COVID-19 patients. Indonesia are also affected with COVID-19 pandemic with positivity rate 1.9% and case fatality rate 3.3%.

Characteristics of COVID-19 cases in Italy from a sex/gender perspective.

Coronavirus disease 19 (COVID-19) is an infectious disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). To date, few data on clinical features and risk factors for disease severity and death by gender are available. The current study aims to describe from a sex/gender perspective the characteristics of the SARS-CoV-2 cases occurred in the Italian population from February 2020 until October 2021. We used routinely collected data retrieved from the Italian National Surveillance System. The highest number of cases occurred among women between 40 and 59 years, followed by men in the same age groups. The proportion of deaths due to COVID-19 was higher in men (56.46%) compared to women (43.54%). Most of the observed deaths occurred in the elderly. Considering the age groups, the clinical outcomes differed between women and men in particular in cases over 80 years of age; with serious or critical conditions more frequent in men than in women. Our data clearly demonstrate a similar number of cases in women and men, but with more severe disease and outcome in men, thus confirming the importance to analyse the impact of sex and gender in new and emerging diseases.

Characteristics of Reported Deaths Among Fully Vaccinated Persons With Coronavirus Disease 2019-United States, January-April 2021.

BackgroundCOVID-19 vaccines are highly efficacious, but SARS-CoV-2 infections post-vaccination occur. We characterized COVID-19 cases among fully vaccinated persons with an outcome of death.MethodsWe analyzed COVID-19 cases voluntarily reported to CDC by US health departments during January 1, 2021–April 30, 2021. We included cases among U.S. residents with a positive SARS-CoV-2 test ≥14 days after completion of an authorized primary vaccine series and who had a known outcome (alive or death) as of May 31, 2021. When available, specimens were sequenced for viral lineage and death certificates were reviewed for cause(s) of death.ResultsOf 8,084 reported COVID-19 cases among fully vaccinated persons during the surveillance period, 245 (3.0%) died. Compared with patients who remained alive, those who died were older (median age 82 years vs. 57 years, P <0.01), more likely to reside in a long-term care facility (51% vs. 18%, P <0.01), and more likely to have at least one underlying health condition associated with risk for severe disease (64% vs. 24%, P <0.01). Among 245 deaths, 191 (78%) were classified as COVID-19-related. Of 106 deaths with available death certificates, COVID-19 was listed on 81 (77%). There were no differences in the type of vaccine administered or the most common viral lineage (B.1.1.7).ConclusionsCOVID-19 deaths are rare in fully vaccinated persons, occurring most commonly in those with risk factors for severe disease, including older age and underlying health conditions. All eligible persons should be fully vaccinated against COVID-19 and follow other prevention measures to mitigate exposure risk.

COVID-19 disease severity and associated factors among Ethiopian patients: A study of the millennium COVID-19 care center.

BackgroundThe COVID-19 pandemic started a little later in Ethiopia than the rest of the world and most of the initial cases were reported to have a milder disease course and a favorable outcome. This changed as the disease spread into the population and the more vulnerable began to develop severe disease. Understanding the risk factors for severe disease in Ethiopia was needed to provide optimal health care services in a resource limited setting.ObjectiveThe study assessed COVID-19 patients admitted to Millennium COVID-19 Care Center in Ethiopia for characteristics associated with COVID-19 disease severity.MethodsA cross-sectional study was conducted from June to August 2020 among 686 randomly selected patients. Chi-square test was used to detect the presence of a statistically significant difference in the characteristics of the patients based on disease severity (Mild vs Moderate vs Severe). A multinomial logistic regression model was used to identify factors associated with COVID-19 disease severity where Adjusted Odds ratio (AOR), 95% CIs for AOR and P-values were used for significance testing.ResultsHaving moderate as compared with mild disease was significantly associated with having hypertension (AOR = 2.30, 95%CI = 1.27,4.18), diabetes mellitus (AOR = 2.61, 95%CI = 1.31,5.19for diabetes mellitus), fever (AOR = 6.12, 95%CI = 2.94,12.72) and headache (AOR = 2.69, 95%CI = 1.39,5.22). Similarly, having severe disease as compared with mild disease was associated with age group (AOR = 4.43, 95%CI = 2.49,7.85 for 40–59 years and AOR = 18.07, 95%CI = 9.29,35.14for ≥ 60 years), sex (AOR = 1.84, 95%CI = 1.12,3.03), hypertension (AOR = 1.97, 95%CI = 1.08,3.59), diabetes mellitus (AOR = 3.93, 95%CI = 1.96,7.85), fever (AOR = 13.22, 95%CI = 6.11, 28.60) and headache (AOR = 4.82, 95%CI = 2.32, 9.98). In addition, risk factors of severe disease as compared with moderate disease were found to be significantly associated with age group (AOR = 4.87, 95%CI = 2.85, 8.32 for 40–59 years and AOR = 18.91, 95%CI = 9.84,36.331 for ≥ 60 years), fever (AOR = 2.16, 95%CI = 1.29,3.63) and headache (AOR = 1.79, 95%CI = 1.03, 3.11).ConclusionsSignificant factors associated with severe COVID-19 in Ethiopia are being older than 60 years old, male, a diagnosis of hypertension, diabetes mellitus, and the presence of fever and headache. This is consistent with severity indicators identified by WHO and suggests the initial finding of milder disease in Ethiopia may have been because the first people to get COVID-19 in the country were the relatively younger with fewer health problems.

Disease severity during SARS-COV-2 reinfection: a nationwide study

ObjectiveWe aimed to look at the burden of disease caused by SARS-COV-2 reinfections and identified potential risk factors for disease severity. MethodsWe used national surveillance data to collect information on all SARS-CoV-2 primary infection and suspected reinfection cases between January 2020 until early May 2021. Reinfection cases were positive COVID-19 PCR or antigen test, 90 days after their first COVID-19 positive test. We collected information on case demographics, hospital and ICU admission, immunisation status and if individuals were at risk of complication for COVID-19. ResultsDeaths reported within 28 days of testing positive were 61% (95% confidence interval: 56% to 65%) lower in suspected COVID-19 reinfection than primary infection cases. In the unvaccinated cohort, reinfections were associated with 49% (37% to 58%) lower odds of hospital admission in cases aged 50 to 65 years in the population not identified at risk of complication for COVID-19, and 34% (17% to 48%) in those at risk. ICU admission at reinfection compared to primary infection decreased 76% (55% to 87%). Individuals at risk and those aged below 50 years, who received at least 1 dose of vaccine against COVID-19, were 62% (39% to 74%) and 58% (24% to 77%) less likely to get admitted to hospital at reinfection, respectively. ConclusionPrior SARS-CoV-2 infection was associated with lower odds of dying, and both prior infection and immunisation showed a protective effect against severe disease in selected populations. Older age, sex and underlying comorbidities appeared as principal risk factors for illness severity at reinfection. FundingPHE/UKHSA