South African ischaemic stroke guideline, 2010

We do not believe that tPA should form part of the stroke guidelines

Risk factors for Coronavirus disease 2019 (Covid-19) death in a population cohort study from the Western Cape province, South Africa

Risk factors for coronavirus disease 2019 (COVID-19) death in sub-Saharan Africa and the effects of human immunodeficiency virus (HIV) and tuberculosis on COVID-19 outcomes are unknown. We conducted a population cohort study using linked data from adults attending public-sector health facilities in the Western Cape, South Africa. We used Cox proportional hazards models, adjusted for age, sex, location, and comorbidities, to examine the associations between HIV, tuberculosis, and COVID-19 death from 1 March to 9 June 2020 among (1) public-sector “active patients” (≥1 visit in the 3 years before March 2020); (2) laboratory-diagnosed COVID-19 cases; and (3) hospitalized COVID-19 cases. We calculated the standardized mortality ratio (SMR) for COVID-19, comparing adults living with and without HIV using modeled population estimates.Among 3 460 932 patients (16% living with HIV), 22 308 were diagnosed with COVID-19, of whom 625 died. COVID19 death was associated with male sex, increasing age, diabetes, hypertension, and chronic kidney disease. HIV was associated with COVID-19 mortality (adjusted hazard ratio [aHR], 2.14; 95% confidence interval [CI], 1.70–2.70), with similar risks across strata of viral loads and immunosuppression. Current and previous diagnoses of tuberculosis were associated with COVID-19 death (aHR, 2.70 [95% CI, 1.81–4.04] and 1.51 [95% CI, 1.18–1.93], respectively). The SMR for COVID-19 death associated with HIV was 2.39 (95% CI, 1.96–2.86); population attributable fraction 8.5% (95% CI, 6.1–11.1)

The value of electrocardiography in predicting inpatient mortality in patients with acute pulmonary embolism: A cross sectional analysis

Introduction: Pulmonary embolism (PE) is a significant global cause of mortality, ranking third after myocardial infarction and stroke. ECG findings may play a valuable role in the prognostication of patients with PE, with various ECG abnormalities proving to be reasonable predictors of haemodynamic decompensation, cardiogenic shock, and even mortality. This study aims to assess the value of electrocardiography in predicting inpatient mortality in patients with acute pulmonary embolism, as diagnosed with computed tomography pulmonary angiogram. Method: This study was a cross sectional analysis based at Tygerberg Hospital, Cape Town, South Africa. Eligible patients were identified from all CT-PA performed between 1 January 2017 and 31 December 2019 (2 years). The ECGs were independently screened by two blinded emergency physicians for predetermined signs that are associated with right heart strain and higher pulmonary artery pressures, and these findings were analysed to in-hospital mortality. Results: Of the included 81 patients, 61 (75 %) were female. Of the 41 (51 %) patients with submassive PE and 8 (10 %) with massive PE, 7 (17 %) and 3 (38 %) suffered inpatient mortality (p = 0.023) respectively. Univariate ECG analysis revealed that complete right bundle branch block (OR, 8.6; 95 % CI, 1.1 to 69.9; p = 0.044) and right axis deviation (OR, 5.6; 95 % CI, 1.4 to 22.4; p = 0.015) were significant predictors of inpatient mortality. Conclusion: Early identification of patients with pulmonary embolism at higher risk of clinical deterioration and in-patient mortality remains a challenge. Even though no clinical finding or prediction tool in isolation can reliably predict outcomes in patients with pulmonary embolism, this study demonstrated two ECG findings at presentation that were associated with a higher likelihood of inpatient mortality. This single-centre observational study with a small sample precludes concrete conclusions and a large follow-up multi-centre study is advised

The association between hospital arrival time, transport method, prehospital time intervals, and in-hospital mortality in trauma patients presenting to Khayelitsha Hospital, Cape Town

Introduction: Trauma is a leading cause of unnatural death and disability in South Africa. The aim of the study was to determine whether method of transport, hospital arrival time or prehospital transport time intervals were associated with in-hospital mortality among trauma patients presenting to Khayelitsha Hospital, a district-level hospital on the outskirts of Cape Town, South Africa. Methods: The Khayelitsha Hospital Emergency Centre database was retrospectively analysed for trauma-related patients presenting to the resuscitation area between 1 November 2014 and 30 April 2015. Missing data and additional variables were collected by means of a chart review. Eligible patients’ folders were scrutinised for hospital arrival time, transport time intervals, transport method and in-hospital mortality. Descriptive statistics were presented for all variables. Categorical data were analysed using the Fisher’s Exact test and Chi-square, continuous data by logistic regression and the Mann Whitney test. A confidence interval of 95% was used to describe variance and a p-value of 0.09). Discussion: Method of transport, hospital arrival time and prehospital transport time intervals did not have a substantially measurable effect on in-hospital mortality. More studies with larger samples are suggested due to the small event rate