Assessment of hypertension and other factors associated with the severity of disease in COVID-19 pneumonia, Addis Ababa, Ethiopia: A case-control study.

BACKGROUND: Various reports suggested that pre-existing medical illnesses, including hypertension and other demographic, clinical, and laboratory factors, could pose an increased risk of disease severity and mortality among COVID-19 patients. This study aimed to assess the relation of hypertension and other factors to the severity of COVID-19 pneumonia in patients discharged from Eka Kotebe Hospital in June-September, 2020. METHODS: This is a single-center case-control study of 265 adult patients discharged alive or dead, 75 with a course of severe COVID-19 for the cases arm and 190 with the non-severe disease for the control arm. Three age and sex-matched controls were selected randomly for each patient on the case arm. Chi-square, multivariable binary logistic regression, and odds ratio (OR) with a 95% confidence interval was used to assess the association between the various factors and the severity of the disease. A p-value of <0.05 is considered statistically significant. RESULTS: Of the 265 study participants, 80% were male. The median age was 43 IQR(36-60) years. Both arms had similar demographic characteristics. Hypertension was strongly associated with the severity of COVID-19 pneumonia based on effect outcome adjustment (AOR = 2.93, 95% CI 1.489, 5.783, p-value = 0.002), similarly, having diabetes mellitus (AOR = 3.17, 95% CI 1.374, 7.313, p-value<0.007), chronic cardiac disease (AOR = 4.803, 95% CI 1.238-18.636, p<0.023), and an increase in a pulse rate (AOR = 1.041, 95% CI 1.017, 1.066, p-value = 0.001) were found to have a significant association with the severity of COVID-19 pneumonia. CONCLUSIONS: Hypertension was associated with the severity of COVID-19 pneumonia, and so were diabetes mellitus, chronic cardiac disease, and an increase in pulse rate.

Guillain-Barré Syndrome Associated with SARS CoV-2 Infection: Case Report.

BACKGROUND: Since the outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS CoV2) in December 2019, there have been some case reports of Coronavirus disease 19 (COVID 19) associated Guillain-Barré Syndrome (GBS). GBS is an inflammatory polyradiculoneuropathy associated with numerous viral and bacterial infections. Here we describe the case of an Ethiopian man with a typical clinical and electrophysiological manifestation of GBS. CASE PRESENTATION: A 70-year-old male presented with four days history of progressive and ascending bilateral limbs weakness which end up with respiratory failure. He had an antecedent headache, loss of appetite, and generalized fatigue. Electrophysiological studies showed Acute Motor and Sensory Axonal Neuropathy whereas and cerebrospinal fluid analysis revealed albuminocytologic dissociation with positive preintubation SARS CoV2 test. He was treated with supportive care and recovered successfully. CONCLUSION: This case illustrates one of the few occasions when patients with mild COVID-19 develop severe neurologic manifestations. Seemingly, early identification and management can improve clinical outcomes. We would like to emphasize the need to consider screening for SARS CoV-2 in patients presenting with GBS.

Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience.

BACKGROUND: Failure mode and effect analysis is an important tool to identify failures in a system with its possible cause, effect, and set actions to be implemented proactively before the occurrence of problems. This study tries to identify common failure modes with its possible causes and effect to the health service and to plot actions to be implemented to reduce COVID-19 transmission to clients, staff, and subsequent service compromise from asymptomatic COVID-19 patients visiting the adult emergency department of SPHMMC (non-COVID-19 setup). METHOD AND STUDY DESIGN: A multidisciplinary team, representing different divisions of the adult emergency department at St. Paul's Hospital Millennium Medical College (SPHMMC), was chosen. This team was trained on failure mode and effect analysis and basics of COVID-19, to identify possible causes of failures and their potential effects, to calculate a risk priority number (RPN) for each failure, and plan changes in practice. RESULTS: A total of 22 failure modes and 89 associated causes and effects were identified. Many of these failure modes (12 out of 22) were found in all steps of patient flow and were associated with either due to lack of or failure to apply standard and transmission-based precautions. This suggests the presence of common targets for improvement, particularly in enhancing the safety of staff and clients. As a result of this FMEA, 23 general improvement actions were proposed. CONCLUSION: FMEA can be used as a useful tool for anticipating potential failures in the process and proposing improvement actions that could help in reducing secondary transmissions during the pandemic.