Predictors of Severity in Covid-19 Patients in Casablanca, Morocco

The Interleukin-6 gene variants may protect against SARS-CoV-2 infection and the severity of COVID-19: a case-control study in a Moroccan population

The symptoms of SARS-CoV-2 infection vary widely, ranging from asymptomatic cases to severe forms marked by acute respiratory distress syndrome, multi-organ damage, and fatalities. Studies indicate a correlation between specific genes and susceptibility to SARS-CoV-2 infection and disease severity, particularly involving variants in genes linked to inflammation and immune responses. The objective of this study is to investigate the association between rs1800795 (- 174 G > C) and rs1800797 (- 597 A > G) variants in the interleukin-6 (IL-6) promoter region and susceptibility to SARS-CoV-2 infection. Additionally, we aim to explore their correlation with COVID-19 severity in a Moroccan population. In this case-control study, we enrolled 270 unvaccinated COVID-19 patients, consisting of 132 with severe COVID-19 and 138 with asymptomatic-moderate COVID-19. Additionally, we included 339 SARS-CoV-2-negative group. Genotyping of rs1800795 and rs1800797 polymorphisms of the IL-6 gene was performed using predesigned TaqMan SNP genotyping. The median age of SARS-CoV-2-negative controls was 50 years, while severe COVID-19 cases exhibited a median age of 61 years. Additionally, individuals with asymptomatic to moderate COVID-19 had a median age of 36 years. We observed a significant age difference between severe and mild COVID-19 patients (p < 0.0001), and an association was noted between gender and the severity of COVID-19 (p = 0.011). The allele and genotype frequencies of the IL-6 - 597G > A and - 174G > C variants did not show significant associations with susceptibility to SARS-CoV-2 infection (p > 0.05). However, further analysis revealed that the linkage disequilibrium between rs1800797 and rs1800795 indicated that individuals with the GC* haplotype (OR = 0.04, 95% CI 0.01-0.30, p = 0.001) and AG* haplotype (OR = 0.11, 95% CI 0.03-0.46, p = 0.002) were significantly associated with protection against SARS-CoV-2 infection. Moreover, in the overdominant model, the IL-6 - 174 G/C genotype was found to be protective against the development of severe disease compared to those with the G/G-C/C genotypes (p = 0.03; OR = 0.41, 95% CI 0.18-0.96). However, correlations between complete blood count markers, hematological markers, D-dimer, C-reactive protein, and ferritin levels according to - 597 A > G and - 174G > C genotypes showed no significant differences (all p > 0.05). Our findings provide valuable insights into the pathogenesis of COVID-19, suggesting that genetic variations at the IL-6 gene may contribute to the susceptibility to severe SARS-CoV-2 infection within the Moroccan population.

Clinical profile of hospitalised moderate category COVID-19 patients: Short study from a Tertiary Care Centre in Delhi

Background

The clinical profile of hospitalized moderate-category COVID-19 patients has been understudied globally and in India.

Aim

The present study was conducted to study the clinical profile and assess the proportions of patients who progressed to severe disease and its predictors among moderate COVID-19 patients.

Materials and Methods

In this single-center observational study, 100 moderate-category COVID-19 patients as per Ministry of Health and Family Welfare (MoHFW) criteria of age ≥18 years of either sex, excluding pregnant females from February to November 2021, were studied by analyzing their clinical profiles and assessing Quick Sequential Organ Failure Assessment (qSOFA), National Early Warning Score 2 (NEWS-2), and chest computed-tomography severity score (CTSS) to predict progression to severe disease. Severe disease was defined as per MoHFW criteria.

Results

Out of 100 moderate-category COVID-19 patients, progression to severe disease was seen in 11 patients (11%), among which eight patients had expired, three patients were discharged, and the rest of the 89 patients (89%) who did not progress to severe disease were discharged. A higher age (62.2± 19.5 vs 54.8 ± 14.6 years), along with multivariate analysis revealing male sex (1.25 times), chronic kidney disease (2.86 times), leukocytosis (6.10 times), thrombocytopenia (1.04 times), anemia (9.3 times), a higher qSOFA score (3.6 times), and a higher NEWS-2 score on admission (1.56 times) had higher odds of progression to severe disease. A significant correlation (P < .05) of qSOFA score with serum LDH, ferritin, and hs-CRP levels; CT severity score with the serum ferritin, IL-6, and LDH levels; and NEWS-2 with serum LDH, hs-CRP, and ferritin levels were found. Moreover, the NEWS-2 score was found slightly better than qSOFA on receiver operating characteristic (ROC) curve analysis, with an area under the curve of 85.8% and 83.2%, respectively, predicting progression to severe disease.

Conclusion

Our study revealed male gender, chronic kidney disease, leukocytosis, anemia, thrombocytopenia, a higher qSOFA and NEWS-2 score on admission, and further, NEWS-2 score better than qSOFA on ROC curve analysis, with an area under the curve of 85.8% and 83.2%, respectively, in predicting severe disease among hospitalized moderate COVID-19 patients.

Uncertainty Quantification for Epidemic Risk Management: Case of SARS-CoV-2 in Morocco

In this paper, we propose a new method for epidemic risk modelling and prediction, based on uncertainty quantification (UQ) approaches. In UQ, we consider the state variables as members of a convenient separable Hilbert space, and we look for their representation in finite dimensional subspaces generated by truncations of a suitable Hilbert basis. The coefficients of the finite expansion can be determined by approaches established in the literature, adapted to the determination of the probability distribution of epidemic risk variables. Here, we consider two approaches: collocation (COL) and moment matching (MM). Both are applied to the case of SARS-CoV-2 in Morocco, as an epidemic risk example. For all the epidemic risk indicators computed in this study (number of detections, number of deaths, number of new cases, predictions and human impact probabilities), the proposed models were able to estimate the values of the state variables with precision, i.e., with very low root mean square errors (RMSE) between predicted values and observed ones. Finally, the proposed approaches are used to generate a decision-making tool for future epidemic risk management, or, more generally, a quantitative disaster management approach in the humanitarian supply chain.

Time to death and its predictors among adult patients with COVID-19: A retrospective cohort study in Ethiopia

Background

Coronavirus (COVID-19) disease affected people throughout the globe and has become a severe threat to the health and wellbeing of the global community. Time to death and predictors of mortality vary across settings. So far, no or few related studies have been undertaken in Ethiopia. Studying the time to death from COVID-19 and its predictors is essential to understand the characteristics of the disease and thereby contribute to the identification of indicators for early detection and initiation of treatment. Therefore, this study aimed to estimate time to death and its predictors among adults with COVID-19 in Ethiopia.

Methods

A retrospective follow-up study was conducted among 602 adults with COVID-19 attending Eka Kotebe General Hospital, COVID-19 Treatment Center, between 13 March 2020 and 13 November 2020. The data were entered by Epi-data version 4.2 while the analysis was carried out using STATA version 16. A Kaplan-Meier survivor curve was computed to estimate the survival probabilities. A log-rank test was used to compare the difference in survival curves. Cox proportional hazard models were fitted to identify the predictors of time to death.

Results

The overall median time to death was 21 days. Older adults (aged ≥65 years) [adjusted hazard ratio (AHR) 2.22, 95% confidence interval (CI) 1.02-4.86], being men (AHR 3.04, 95% CI 1.61-5.74), shortness of breathing at admission (AHR 2.29, 95% CI 1.16-4.54), comorbidity (AHR 2.23, 95% CI 1.04-4.80), diabetes mellitus (AHR 2.31, 95% CI 1.30-4.08), altered cardiac function (AHR 2.07, 95% CI 1.21-3.43), and baseline white blood cell count of greater than 10 (103/µl) (AHR 2.62, 95% CI 1.55-4.44) were independent predictors of COVID-19 mortality.

Conclusion

Male sex, older adults, shortness of breathing at admission, patients with comorbidities, and higher blood cell count were significant predictors of time to death from COVID-19. Therefore, concerned stakeholders should focus on those predictors of mortality and design interventions accordingly to enhance the survival of patients with COVID-19.

Biomarkers Predicting Poor Prognosis in Covid-19 Patients: A Survival Analysis

Introduction With the spread of the Covid-19 pandemic and its overwhelming impact on health systems in several countries, the importance of identifying predictors of severity is of paramount importance. The objective of this study is to determine the relationship between death and the biological parameters of patients with Covid-19. Materials and methods This is an analytical retrospective cohort study conducted on 326 patients admitted to the Mohammed VI University Hospital in Oujda, Morocco. The statistical analysis concerned the biological parameters carried out on the admission of the patients, in addition to age and sex. The comparison between the two surviving and non-surviving groups was made by a simple analysis than a multivariate analysis by logistic regression. Next, a survival analysis was performed by the Kaplan-Meier method and then by Cox regression. Results A total of 326 patients were included in the study, including 108 fatal cases. The mean age was 64.66 ± 15.51 and the sex ratio was 1.08:1 (M:F). Age, procalcitonin, liver enzymes, and coagulation factors were significantly higher in patients who died of Covid-19 and are therefore considered to be the main prognostic factors identified in this study. Conclusion Knowledge and monitoring of predictive biomarkers of poor prognosis in patients with Covid-19 could be of great help in the identification of patients at risk and in the implementation of an effective diagnostic and therapeutic strategy to predict severe disease forms.

Predictive Factors of Death and the Clinical Profile of Hospitalized Covid-19 Patients in Morocco: A One-Year Mixed Cohort Study

Background Since the onset of the Covid-19 pandemic, several studies have been conducted around the world in an attempt to understand this heterogeneous and unpredictable disease and to prevent related death. It was therefore necessary to study the associated risk factors of Covid-19-related mortality. Objectives The aim of this study was to describe the clinical profile and to identify the factors associated with mortality of patients with Covid-19 in Morocco. Methods We performed a mixed cohort study (retrospective and prospective) of 615 in-patients with Covid-19 disease, enrolled between August 2020 and October 2021. We followed the cohort throughout the hospitalization until discharge and 30 days thereafter. Results The median age was 64 years old; 62.1% of the patients were male. The mean time from symptom onset to hospitalization was 8.5 days (±4.67), and 68.1% of patients had comorbidities. On admission, the most common symptoms were dyspnea (82.2%), cough (80.3%), and fever (76.8%). The main follow-up complication was secondary infection (56.9%). Based on univariate analysis, male gender (p<0.008 and brut relative risk {_bRR}=1.57), advanced age (p<0.001), lung involvement (p<0.001), lymphopenia (p<0.001 and _bRR=2.32), D-dimers of >500 µg/l (p<0.007 and _bRR=2.47), C-reactive protein (CRP) of >130 mg/l (p<0.001 and _bRR=2.45), elevated creatinine (p<0.013 and _bRR=1.61), lactate dehydrogenase (LDH) of >500 U/l (p<0.001 and _bRR=7.16), receiving corticosteroids (p<0.001 and _bRR=5.08), invasive ventilation (p<0.001 and _bRR=30.10), the stay in the resuscitation unit (p<0.001 and _bRR=13.37), and acute respiratory distress syndrome (ARDS) (p<0.001 and _bRR=10.98) were associated with a higher risk of death. In the opposite, receiving azithromycin and hydroxychloroquine (p<0.001 and _bRR=0.28) and pre-admission anticoagulants (p<0.005 and _bRR=0.46) was associated with a lower risk of mortality. Multivariate regression analysis showed that age of >60 years (p<0.001 and adjusted odds ratio {aOR}=4.90), the use of invasive ventilation (p<0.001 and aOR=9.60), the stay in the resuscitation unit (p<0.001 and aOR=5.09), and acute respiratory distress syndrome (p<0.001 and aOR=6.49) were independent predictors of Covid-19 mortality. Conclusion In this cohort study focusing on Covid-19 in-patient's mortality, we found that age of >60 years, the use of invasive ventilation, the stay in the resuscitation unit, and acute respiratory distress syndrome were independent predictors of Covid-19 mortality. The results of this study can be used to improve knowledge for better clinical management of Covid-19 in-patients.

Prevalence and Severity of Gastrointestinal Symptoms in COVID-19 Patients in Casablanca: A Retrospective Cohort Study

Background

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for the coronavirus disease 2019 (COVID-19), is behind the current pandemic. At the start of the pandemic, gastrointestinal symptoms initially described as rare were reported, but their spread to other countries increased rapidly. This study aimed to determine the prevalence of digestive symptoms among COVID-19 patients and to assess the correlation between these symptoms and disease severity.

Methods

This retrospective observational study was conducted in the Cheikh Khalifa University Hospital of Casablanca, Morocco. Patients were divided into two groups based on the presence or absence of gastrointestinal symptoms upon initial assessment and hospital admission.

Results

A total of 154 patients were included in this study from March 21 to April 26, 2020. The mean age of patients was about 48.5 (± 20.0) years, and 85 (55.2%) of them were men. In our population, 8.17% of patients had toxic habits. Digestive symptoms were present at admission in 30% of our patients. The most frequent digestive symptoms were diarrhea (15%), abdominal pain (5.6%), vomiting (5%), and anorexia (3.1%). We found a significant difference in COVID-19 patients with digestive symptoms and toxic habits contrary to all other comorbidities. Neurologic symptoms were significantly associated (p=0,004) with digestive symptoms in 50%.

Conclusion

In this study, we found that digestive symptoms were present in 22.64% of patients diagnosed with COVID-9. The clinician must know the different digestive symptoms to evoke the diagnosis and take charge of the patient early.

Application of CTU-Assisted Doppler Ultrasound Puncture in Nontube Percutaneous Nephrolithotomy, Its Effect on Patients' Complications, and Its Clinical Value

Objective

To research the application of CTU-assisted Doppler ultrasound puncture in uncatheterized PCNL, its influence on patients' complications, and its clinical value in a case-control study.

Methods

One hundred and forty-four patients who went through percutaneous nephrolithotomy (PCNL) from March 2019 to June 2021 in our hospital were arbitrarily assigned into the CTU group (n = 72) and CT plain scan group (n = 72). CTA+CTU was adopted to determine the puncture passage in the CTU group, and CT scan was employed in the CT group. The intraoperative blood loss, postoperative blood loss, operation time, hospital stay, primary stone removal rate, and the incidence of intraoperative and postoperative complications were compared. The visual analogue score (VAS) was employed to assess the degree of postoperative wound pain.

Results

The first-stage stone removal rate in the CTU group was 95.83% (69/72), which was remarkably higher compared to the CT plain scan group, which was 81.94% (59/72), and the difference was statistically significant (P < 0.05). The overall rates of intraoperative complications were 6.94% (5/72) in the CTU group and 18.06% (13/72) in the CT plain scan group, respectively, which exhibited great differences (P < 0.05). In addition, the overall rates of intraoperative complications were 2.78% (2/72) in the CTU and 13.89% (10/72) in the CT plain scan group, respectively, and the difference was statistically significant (P < 0.05). The operation time and postoperative hospital stays in the CTU group were remarkably shorter compared to the CT group, and the difference was statistically significant (P < 0.05). The intraoperative and postoperative blood loss of CTU group displayed obvious less than that of the CT group, and the difference was statistically significant (P < 0.05). The VAS were compared 24 hours after surgery. After operation, the VAS of 24 hours after operation in the CTU group (0.92 ± 0.12) were remarkably lower compared to the CT group (1.22 ± 0.15), and the difference was statistically significant (P < 0.05). Discussion. PCNL is constantly being optimized by CTU-assisted Doppler ultrasound puncture to improve stone clearance rates, reduce postoperative bleeding, be less painful, provide rapid recovery, and provide safe and feasible results. It is therefore worthwhile to standardize and then widely promote it in clinical practice.

Sex Differences in COVID-19 Outcomes

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified as the cause of an outbreak of severe acute respiratory syndrome in Wuhan City, China in December 2019. Since then, it has caused a worldwide pandemic with over six million deaths. Many studies have been published on coronavirus disease 2019 (COVID-19), but only a few have compared the outcomes of COVID-19 between males and females, especially in African countries and the Middle East. Studies published to date on this topic report that male patients infected with SARS-CoV-2 have worse outcomes than females. This study aimed to compare sex differences in COVID-19 outcomes in a tertiary care hospital in Casablanca (Morocco).

Methodology

We included all adult patients hospitalized for COVID-19 infection in Cheikh Khalifa Hospital. We categorized patients according to gender and analyzed the characteristics and outcomes of each group.

Results

In total, 134 patients with polymerase chain reaction (PCR)-confirmed COVID-19 were admitted during the study period. These included 72 (53.7%) men and 62 (46.4%) women. The median age of the patients was 53 years (interquartile range, IQR = 36-64). Men were significantly older than women (58 vs. 44) but there was no significant difference in comorbidities on comparing men and women. Values of median C-reactive protein (35 vs. 4), ferritin (326 vs. 72), and lactate dehydrogenase (264 vs. 208) were significantly higher in men. Lymphopenia was significantly more important in men (1.2 vs. 1.7), and the ratio of neutrophil/lymphocytes was significantly higher in men (3.37 vs. 1.84). Men had greater disease severity, with significantly higher intensive care unit admission (48.6% vs. 16.1%) and higher hospital mortality (18.1% vs. 1.6%).

Conclusions

COVID-19 gender disparities may be due to sex differences in the inflammatory response. These can be explained by the role of sex hormones and sex chromosomes on immune cells and their regulatory genes.

The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Pandemic: Are Africa's Prevalence and Mortality Rates Relatively Low?

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the cause of coronavirus disease 19 (COVID-19), has been rapidly spreading since December 2019, and within a few months, it turned out to be a global pandemic. The disease affects primarily the lungs, but its pathogenesis spreads to other organs as well. However, its mortality rates vary, and in the majority of infected people, there are no serious consequences. Many factors including advanced age, preexisting health conditions, and genetic predispositions are believed to exacerbate outcomes of COVID-19. The virus contains several structural proteins including the spike (S) protein with subunits for binding, fusion, and internalization into host cells following interaction with host cell receptors and proteases (ACE2 and TMPRSS2, respectively) to cause the subsequent pathology. Although the pandemic has spread into all countries, most of Africa is thought of as having relatively less prevalence and mortality. Several hypotheses have been forwarded as reasons for this and include warmer weather conditions, vaccination with BCG (i.e., trained immunity), and previous malaria infection. From genetics or metabolic points of view, it has been proposed that most African populations could be protected to some degree because they lack some genetic susceptibility risk factors or have low-level expression of allelic variants, such as ACE2 and TMPRSS2 that are thought to be involved in increased infection risk or disease severity. The frequency of occurrence of α-1 antitrypsin (an inhibitor of a tissue-degrading protease, thereby protecting target host tissues including the lung) deficiency is also reported to be low in most African populations. More recently, infections in Africa appear to be on the rise. In general, there are few studies on the epidemiology and pathogenesis of the disease in African contexts, and the overall costs and human life losses due to the pandemic in Africa will be determined by all factors and conditions interacting in complex ways.

Incidence and risk factors of acute kidney injury in COVID-19 patients with and without acute respiratory distress syndrome (ARDS) during the first wave of COVID-19: a systematic review and Meta-Analysis

BACKGROUND

Acute kidney injury (AKI) is common among patients with COVID-19. However, AKI incidence may increase when COVID-19 patients develop acute respiratory distress syndrome (ARDS). Thus, this systematic review and meta-analysis aimed to assess the incidence and risk factors of AKI, need for kidney replacement therapy (KRT), and mortality rate among COVID-19 patients with and without ARDS from the first wave of COVID-19.

METHODS

The databases MEDLINE and EMBASE were searched using relevant keywords. Only articles available in English published between December 1, 2019, and November 1, 2020, were included. Studies that included AKI in COVID-19 patients with or without ARDS were included. Meta-analyses were conducted using random-effects models.

RESULTS

Out of 618 studies identified and screened, 31 studies met the inclusion criteria. A total of 27,500 patients with confirmed COVID-19 were included. The overall incidence of AKI in patients with COVID-19 was 26% (95% CI 19% to 33%). The incidence of AKI was significantly higher among COVID-19 patients with ARDS than COVID-19 patients without ARDS (59% vs. 6%, p < 0.001). Comparing ARDS with non-ARDS COVID-19 cohorts, the need for KRT was also higher in ARDS cohorts (20% vs. 1%). The mortality among COVID-19 patients with AKI was significantly higher (Risk ratio = 4.46; 95% CI 3.31-6; p < 0.00001) than patients without AKI.

CONCLUSION

This study shows that ARDS development in COVID-19-patients leads to a higher incidence of AKI and increased mortality rate. Therefore, healthcare providers should be aware of kidney dysfunction, especially among elderly patients with multiple comorbidities. Early kidney function assessment and treatments are vital in COVID-19 patients with ARDS.

Clinical and Demographic Profile of COVID-19 Patients: A Tertiary Level Hospital-Based Study From Northeast India

Background and objective

The coronavirus disease 2019 (COVID-19) outbreak, which was first detected in Wuhan, China, has turned into a rapidly spreading global healthcare crisis. The clinical and laboratory features of COVID-19 are associated with significant regional variations. In this study, we aimed to describe the clinical and demographic profile of COVID-19 patients from a tertiary care hospital in Northeast India.

Materials and methods

This was a hospital-based cross-sectional study that included all laboratory-confirmed COVID-19 cases admitted to the institution from 1st July to 31st October 2020. The information was collected on a predesigned proforma, which included patients' demographic profiles, clinical presentations, and outcomes as per treatment by trained doctors.

Results

The study included 180 laboratory-confirmed COVID-19 cases. A history of contact with laboratory-confirmed COVID-19-affected individuals was found in 92 (51.1%) patients. The median age of the patients was 37.17 years (range: 18-80 years), and there were 104 (57.78%) males in the cohort. Of the total enrolled patients, 102 (56.67%) were asymptomatic from the time of exposure till their admission. The common presenting complaints were fever (n=55, 70.51%), cough (n=42, 53.85%), and shortness of breath (n=32, 42.02%). The case fatality rate among the admitted cases was 15%. Comorbidities were found in 84 (46.67%) patients with the most common one being diabetes mellitus (n=31, 36.9%) followed by hypertension (n=29, 34.52%). Patients with advanced age (more than 60 years) and coexisting comorbidities were at higher risk of progression of disease and death.

Conclusion

The COVID-19 pandemic is not only a huge burden on healthcare facilities but also a significant cause of disruption in societies globally. The majority of the patients with COVID-19 infection presenting to our hospital were young and asymptomatic. Patients of advanced age with comorbidities were found to have more complications. An analysis of the trends related to COVID-19 in different hospital and institutional settings will help to achieve better preparedness and lead to improved patient care to combat the COVID-19 pandemic in a more efficient manner.

Exploring Household Food Dynamics During the COVID-19 Pandemic in Morocco

Alongside the dramatic impact on health systems, eating, shopping, and other food-related habits may have been affected by the COVID-19 crisis. This paper analyses the impacts of the COVID-19 pandemic on food shopping habits and food-related activities of a diverse sample of 340 adult consumers in Morocco. The study is based on an online survey conducted in Morocco from September 15 to November 5, 2020, utilizing a standardized questionnaire delivered in French and Arabic via Survey Monkey. The findings show that consumers' diet, shopping behavior, and food interactions have changed significantly. Indeed, the survey outcomes indicated (i) an increase in the consumption of local items owing to food safety concerns; (ii) an increase in online grocery shopping; (iii) a rise in panic buying and food hoarding; and (iv) an increase in culinary capabilities. The findings are expected to help guide Morocco's current emergency measures as well as long-term food-related policies.

Different incidences of acute kidney injury (AKI) and outcomes in COVID-19 patients with and without non-azithromycin antibiotics: A retrospective study

In late December 2019, an outbreak of a novel coronavirus which caused coronavirus disease 2019 (COVID-19) was initiated. Acute kidney injury (AKI) was associated with higher severity and mortality of COVID-19. We aimed to evaluate the effects of comorbidities and medications in addition to determining the association between AKI, antibiotics against coinfections (AAC) and outcomes of patients. We conducted a retrospective study on adult patients hospitalized with COVID-19 in a tertiary center. Our primary outcomes were the incidence rate of AKI based on comorbidities and medications. The secondary outcome was to determine mortality, intensive care unit (ICU) admission, and prolonged hospitalization by AKI and AAC. Univariable and multivariable logistic regression method was used to explore predictive effects of AKI and AAC on outcomes. Out of 854 included participants, 118 patients developed AKI in whom, 57 used AAC and 61 did not. Hypertension and diabetes were the most common comorbidities in patients developed AKI. AAC, lopinavir/ritonavir, ribavirin, angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers, and corticosteroids had significant higher rate of administration in patients developed AKI. AAC were associated with higher deaths (odds ratio [OR] = 5.13; 95% confidence interval (CI): 3-8.78) and ICU admission (OR = 5.87; 95%CI: 2.81-12.27), while AKI had higher OR for prolonged hospitalization (3.37; 95%CI: 1.76-6.45). Both AKI and AAC are associated with poor prognosis of COVID-19. Defining strict criteria regarding indications and types of antibiotics would help overcoming concomitant infections and minimizing related adverse events.

COVID-19: A Potential Cause of Non-convulsive Status Epilepticus

Coronavirus disease 2019 (COVID-19) has been described as being primarily responsible for respiratory symptoms. Although several case reports have shown the importance of neurological manifestations, only a few have reported non-convulsive status epilepticus (NCSE) as the first manifestation of COVID-19 infection. Here, we report the case of a 30-year-old male patient with no past medical history who was admitted with altered consciousness. On examination, the patient had a Glasgow Coma Scale (GCS) of 13/15. Vital signs were within normal range. Computed tomography scan of the and magnetic resonance imaging of the brain were normal. Biochemical assessments showed a mild hyponatremia (134 mEq/L) and high levels of D-dimer and lactate dehydrogenase. Urine drug screening did not find any abnormality and a lumbar puncture showed an increased cerebrospinal fluid protein. The result of the reverse transcription polymerase chain reaction test in the nasopharyngeal swab was positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Electroencephalogram (EEG) showed a generalized epileptiform activity. Upon undergoing antiepileptic treatment, patient’s GCS improved to 15 gradually. A repeated EEG confirmed complete resolution of epileptic abnormalities four days later. This case report shows that SARS-CoV-2 infection can directly involve the central nervous system and can be manifested with isolated NCSE without any other neurological manifestations.

Predictors of severe hypoxemia among COVID-19 patients in Burkina Faso (West Africa): Findings from hospital based cross-sectional study

Introduction

COVID-19 is one of the world’s major health crises. The objective of this study was to determine the predictive factors of severe hypoxemia in patients hospitalized in COVID-19 health facilities in Burkina Faso.

Patients and method

This study was a hospital-based cross-sectional study. The data collected relate to the period of the first wave of the epidemic (March 9 to June 30, 2020). All patients hospitalized for COVID-19 in the requisitioned health facilities of Ouagadougou were included in this study. Predictors of severe hypoxemia were identified using a multivariate logistic regression model.

Results

During the study period, 442 patients were included, representing 45.7% of the total number of positive patients in the entire country. The most common co-morbidities were diabetes (55; 12.4%) and arterial hypertension (97; 21.9%). Severe hypoxemia (SpO2 < 90%) was observed in 64 patients (14.5%). Age over 65 years (OR = 8.24; 95% CI: 2.83–24.01) and diabetes (OR = 2.43; 95% CI: 1.17–5.06) were the predictors for occurrence of severe hypoxemia in multivariate analysis.

Conclusion

The predictive factors of COVID-19 are similar in African and Caucasian populations. The surveillance of COVID-19 in risk groups should be strengthened to reduce their morbidity and mortality.

A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19

Several comorbidities have been shown to be associated with coronavirus disease 2019 (COVID-19) related severity and mortality. However, considerable variation in the prevalence estimates of comorbidities and their effects on COVID-19 morbidity and mortality have been observed in prior studies. This systematic review and meta-analysis aimed to determine geographical, age, and gender related differences in the prevalence of comorbidities and associated severity and mortality rates among COVID-19 patients. We conducted a search using PubMed, Scopus, and EMBASE to include all COVID-19 studies published between January 1st, 2020 to July 24th, 2020 reporting comorbidities with severity or mortality. We included studies reporting the confirmed diagnosis of COVID-19 on human patients that also provided information on comorbidities or disease outcomes. We used DerSimonian and Laird random effects method for calculating estimates. Of 120 studies with 125,446 patients, the most prevalent comorbidity was hypertension (32%), obesity (25%), diabetes (18%), and cardiovascular disease (16%) while chronic kidney or other renal diseases (51%, 44%), cerebrovascular accident (43%, 44%), and cardiovascular disease (44%, 40%) patients had more COVID-19 severity and mortality respectively. Considerable variation in the prevalence of comorbidities and associated disease severity and mortality in different geographic regions was observed. The highest mortality was observed in studies with Latin American and European patients with any medical condition, mostly older adults (≥ 65 years), and predominantly male patients. Although the US studies observed the highest prevalence of comorbidities in COVID-19 patients, the severity of COVID-19 among each comorbid condition was highest in Asian studies whereas the mortality was highest in the European and Latin American countries. Risk stratification and effective control strategies for the COVID-19 should be done according to comorbidities, age, and gender differences specific to geographical location.

Hypertension, diabetes mellitus, and cerebrovascular disease predispose to a more severe outcome of COVID-19

INTRODUCTION

The world is currently facing the pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The total number of cases of coronavirus disease 2019 (COVID-19) is rising daily and no vaccine has yet been approved. While the pathophysiology behind the virus is still being studied, many possible several risk factors using small sample sizes have been found.

MATERIAL AND METHODS

We conducted a pooled analysis using several databases such as Medline, Scopus, Wangfang, Web of Science, Research Square, medrxiv, and Google Scholar to identify studies reporting severe and non-severe groups of COVID-19 patients. The odds ratios as well as the 95% confidence intervals for hypertension, diabetes, and cerebrovascular disease leading to severe COVID-19 were calculated using R-software.

RESULTS

Fifty-three articles were used for our analysis and they involved 30,935 confirmed cases of COVID-19 from several countries across the world. The odds ratio for severe COVID-19 in hypertensive patients, diabetics, and patients with a history of cerebrovascular disease was 2.58 (95% confidence interval (CI): 2.16-3.08, from 53 studies), 2.17 (95% CI: 1.72-2.74, from 44 studies), and 2.63 (95% CI: 1.80-3.85, from 25 studies), respectively.

CONCLUSIONS

Our analysis confirms that patients with hypertension, diabetes, or cerebrovascular disease are at a higher risk of a severe outcome of COVID-19. It is thus vital for physicians to identify the main risk factors for a severe outcome of this disease.

COVID-19 and the Kidney: A Worrisome Scenario of Acute and Chronic Consequences

Acute kidney injury (AKI) is a common finding in patients with coronavirus disease 2019 (COVID-19) and has been associated with higher rates of death when compared to COVID-19 patients without kidney injury. Whereas the definitive pathogenesis of COVID-19-related AKI (CoV-AKI) is not clear, histopathologic evidence seems to point at multiple etiologies for the disease, including indirect and direct viral kidney injury. The high incidence of CoV-AKI, along with the aggressive clinical presentation of this entity, have increased the demands for kidney replacement therapies, rapidly overwhelming the supplies of healthcare systems even in major tertiary care centers. As a result, nephrologists have come up with alternatives to maximize the efficiency of treatments and have developed non-conventional therapeutic alternatives such as the implementation of acute peritoneal dialysis for critically ill patients. The long-term implications of CoV-AKI are yet unknown, though early studies suggest that around one third of the patients who survive will remain dependent on kidney replacement therapy. Nephrologists and healthcare workers need to be familiar with the clinical presentation and therapeutic challenges of CoV-AKI in order to develop strategies to mitigate the burden of the disease for patients, and for services providing kidney replacement therapies.

Personal Protective Equipment and Headaches: Cross-Sectional Study Among Moroccan Healthcare Workers During COVID-19 Pandemic

Background

Healthcare workers in frontline during the coronavirus 19 disease (COVID-19) pandemic are mandated to wear specific personal protective equipment (PPE) including high filtrating masks and/or eye protection during extended period of time. Compressive headaches secondary to PPE use including N95 masks have been reported. We aim to describe subtypes of headache related to PPE use in our hospital in Casablanca and working condition factors associated with it.

Methods

We conducted a cross-sectional study among healthcare workers in frontline at Cheikh khalifa International University Hospital, using an online questionnaire. We collected demographic data, comorbidities and previous headaches history. Data about working conditions during pandemic, type and duration of PPE use were described. We calculated the prevalence of De Novo or an aggravated headache among healthcare workers. We studied correlations between PPE related headaches and working conditions and trends in PPE use during the pandemic. Finally, we described the overall discomfort related to PPE use.

Results

A total of 155 healthcare workers responded to the questionnaire. The N95 masks were the most used type (95.5%) associated with an eye protection in 61.3%. The overall prevalence of headache related to PPE was 62%. It was experienced De Novo in 32.9%, while it was an aggravation of pre-existing headache in 29%. Working more than 8 hours per shift during the pandemic was correlated to De novo headache (p = 0.008). The profession of doctor and working more than 12 hours per shift were correlated to aggravated headache (p = 0.02, p = 0.023). Healthcare workers experienced moderate discomfort, blurred vision and reduced concentration. They judged their professional performance mildly reduced by the use of PPE.

Conclusion

The increased use of PPE, especially high filtrating masks during the COVID-19 outbreak is responsible for generating headaches in healthcare workers on frontline either De novo or as an aggravation of pre-existing one. Working conditions have the greater impact on generating these types of headaches more than any pre-existing comorbidity. These findings should be considered to accommodate health care professionals to increase efficacy and adherence to protective measures during pandemic.