16 research outputs found
Functional genomic analyses of Enterobacter, Anopheles and Plasmodium reciprocal interactions that impact vector competence
Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study
Background Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide.Methods A multimethods analysis was performed as part of the GlobalSurg 3 study-a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital.Findings Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3.85 [95% CI 2.58-5.75]; p<0.0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63.0% vs 82.7%; OR 0.35 [0.23-0.53]; p<0.0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer.Interpretation Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised
The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance
INTRODUCTION
Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic.
RATIONALE
We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs).
RESULTS
Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants.
CONCLUSION
Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century
The Prevalence, Predictors, and In-Hospital Mortality of Hepatic Encephalopathy in Patients with Liver Cirrhosis Admitted at St. Dominic Hospital in Akwatia, Ghana
Background. Hepatic encephalopathy (HE) is one of the most debilitating complications of cirrhosis leading to death. Decrease in HE mortality and recurrence has been linked with timely identification and early treatment. There is a need to document the burden, predictors, and treatment outcomes of HE in an adult population with liver cirrhosis in our setting as only reports from resource-endowed countries abound in the literature. This study aimed therefore to determine the prevalence, predictors, and treatment outcomes of patients with liver cirrhosis admitted at St. Dominic Hospital (SDH) in Akwatia, Ghana. Materials and Methods. A prospective study was conducted involving one hundred and sixty-seven (167) patients admitted at the medical wards in SDH with liver cirrhosis from January 1st, 2018, to March 24th, 2020. The demographic and clinical features of the patients were collected using a standardized questionnaire. Biochemical, haematological, and abdominal ultrasound scans were done for all patients. Patients were then followed up until discharge or death. Results. There were 109 (65.3%) males out of the 167 patients with a mean age of 45.8 and 47.5 years for those with and without HE, respectively. The prevalence of HE was 31.7% (53/167). Out of 53 participants with HE, 75.5% (40/53) died. There was a strong association between HE and death (p<0.001). The major precipitating factor of HE was infection (64.2%). Severe ascites (OR = 0.009) were clinical feature independently associated with HE, whereas high creatinine (OR = 0.987), blood urea nitrogen (BUN) (OR = 1.199), Child–Pugh score (CPS) (OR = 5.899), and low platelets (OR = 0.992) were the laboratory parameters and scores independently predictive of HE. Conclusion. HE was common among patients with liver cirrhosis admitted at SDH with high in-patient mortality. The commonest precipitating factor for HE was infection(s). Severe ascites, low platelet count, high creatinine, BUN, and CPS were independent predictors of HE
Bacterial Infections in Patients with Liver Cirrhosis: Prevalence, Predictors, and in-Hospital Mortality at a District Hospital in Ghana
BackgroundIn-patients with liver cirrhosis, bacterial infections are common with high in-hospital mortality. In Ghana, bacterial infections in liver cirrhosis patients and their impact on in-patient mortality are generally unknown. This study was conducted to define the prevalence, predictors, and treatment outcomes of cirrhotic patients with bacterial infections admitted to a district hospital in Ghana. MethodsPatients with liver cirrhosis hospitalized from 1st January, 2018 to 24th April, 2020 were consecutively recruited. The demographic data and clinical presentations of the patients were collected using standardized questionnaire. Full blood count, liver function test, renal function test, ascitic fluid analysis and culture, urinalysis and culture, hepatitis B surface antigen, anti-hepatitis C antibodies and abdominal ultrasound scans of the abdomen were conducted for all patients. ResultsThere were 110 (65.09%) males out of the 169 patients with a mean age of 47.10±12.88 years. The prevalence of infections was 42.01% (71/169). Out of 71 participants with infections, 59.15% (42/72) died. Fever, encephalopathy, high white cell count, Child-Pugh Class C and Blood urea nitrogen were independent predictors of bacterial infections ConclusionBacterial infection among the participants admitted to district hospital with liver cirrhosis was common with high in-hospital mortality.
Rwanda J Med Health Sci 2022;5(1):46-5