The epidemiology of chronic kidney disease in sub-Saharan Africa: a systematic review and meta-analysis

Background Amid rapid urbanisation, the HIV epidemic, and increasing rates of non-communicable diseases, people in sub-Saharan Africa are especially vulnerable to kidney disease. Little is known about the epidemiology of chronic kidney disease (CKD) in sub-Saharan Africa, so we did a systematic review and meta-analysis examining the epidemiology of the disease. Methods We searched Medline, Embase, and WHO Global Health Library databases for all articles published through March 29, 2012, and searched the reference lists of retrieved articles. We independently reviewed each study for quality. We used the inverse-variance random-eff ects method for meta-analyses of the medium-quality and highquality data and explored heterogeneity by comparing CKD burdens across countries, settings (urban or rural), comorbid disorders (hypertension, diabetes, HIV), CKD defi nitions, and time. Findings Overall, we included 90 studies from 96 sites in the review. Study quality was low, with only 18 (20%) medium-quality studies and three (3%) high-quality studies. We noted moderate heterogeneity between the mediumquality and high-quality studies (n=21; I²=47·11%, p<0·0009). Measurement of urine protein was the most common method of determining the presence of kidney disease (62 [69%] studies), but the Cockcroft-Gault formula (22 [24%] studies) and Modifi cation of Diet in Renal Disease formula (17 [19%] studies) were also used. Most of the studies were done in urban settings (83 [93%] studies) and after the year 2000 (57 [63%] studies), and we detected no signifi cant diff erence in the prevalence of CKD between urban (12·4%, 95% CI 11–14) and rural (16·5%, 13·8–19·6) settings (p=0·474). The overall prevalence of CKD from the 21 medium-quality and high-quality studies was 13·9% (95% CI 12·2–15·7). Interpretation In sub-Saharan Africa, CKD is a substantial health burden with risk factors that include communicable and non-communicable diseases. However, poor data quality limits inferences and draws attention to the need for more information and validated measures of kidney function especially in the context of the growing burden of noncommunicable diseases

Beyond Duverger: Party Ideology, Party-State Relations and Informal Finance Strategies in Advanced Democracies

publication-status: Acceptedtypes: ArticleThis is the accepted version of the following article: Beyond Duverger: party ideology, party-state relations and informal finance strategies in advanced democracies, which has been published in final form at http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9157737This article examines one widespread but widely overlooked informal party practice to access state resources indirectly: the ‘taxing’ of MP salaries, which obliges candidates who win elected office on a party ticket to regularly donate a fixed share of their private income to party coffers. Linking Duverger’s classical approach on party organization that stresses the importance of party–society relations with the more recent, highly influential cartel party theory that argues that parties are shaped by their relationship with the state, we specify factors that shape the acceptability of this informal practice and thus parties’ capacity to extract rent from their MPs. The analysis of an original dataset covering parties across a wide range of advanced democracies reveals that demanding salary transfers from national MPs to their parties are not only more common in leftist parties as argued by Duverger but also in systems in which the penetration of the state apparatus by political parties is intense as argued by the cartel party approach. Linking the two perspectives further reveals that ideological differences between parties shape their relative capacity to collect higher payments from MPs in systems where parties and the state are less intertwined.British AcademyEconomic and Social Research Counci

The iPlant Collaborative: Cyberinfrastructure for Plant Biology

The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF) funded project that aims to create an innovative, comprehensive, and foundational cyberinfrastructure in support of plant biology research (PSCIC, 2006). iPlant is developing cyberinfrastructure that uniquely enables scientists throughout the diverse fields that comprise plant biology to address Grand Challenges in new ways, to stimulate and facilitate cross-disciplinary research, to promote biology and computer science research interactions, and to train the next generation of scientists on the use of cyberinfrastructure in research and education. Meeting humanity's projected demands for agricultural and forest products and the expectation that natural ecosystems be managed sustainably will require synergies from the application of information technologies. The iPlant cyberinfrastructure design is based on an unprecedented period of research community input, and leverages developments in high-performance computing, data storage, and cyberinfrastructure for the physical sciences. iPlant is an open-source project with application programming interfaces that allow the community to extend the infrastructure to meet its needs. iPlant is sponsoring community-driven workshops addressing specific scientific questions via analysis tool integration and hypothesis testing. These workshops teach researchers how to add bioinformatics tools and/or datasets into the iPlant cyberinfrastructure enabling plant scientists to perform complex analyses on large datasets without the need to master the command-line or high-performance computational services

COVID-19-associated psychosis: a systematic review of case reports.

OBJECTIVES: To describe the comorbidities, presentations, and outcomes of adults with incident psychosis and a history of COVID-19. METHODS: We completed a descriptive systematic review of case reports according to PRISMA guidelines, including cases of adult patients with incident psychosis and antecedent or concurrent COVID-19. We extracted patient demographics, comorbidities, clinical course, and outcomes, and assessed cases for quality using a standardized tool. RESULTS: Of 2396 articles, we included 40 reports from 17 countries, comprising 48 patients. The mean age of patients was 43.9 years and 29 (60%) were males. A total of 7 (15%) had a documented psychiatric history, 6 (13%) had a substance use history and 11 (23%) had a comorbid medical condition. Delusions were the most common (44 [92%]) psychiatric sign and psychosis lasted between 2 and 90 days. A total of 33 (69%) patients required hospitalization to a medical service and 16 (33%) required inpatient psychiatric admission. The majority (26 [54%]) of cases did not assess for delirium and 15 (31%) cases were judged to be of high risk of bias. CONCLUSIONS: Despite the growing awareness of COVID-19's association with incident psychosis at a population level, cases of COVID-19-associated psychosis often lacked clinically relevant details and delirium was frequently not excluded

The epidemiology of chronic kidney disease in sub-Saharan Africa: a systematic review and meta-analysis

Background: Amid rapid urbanisation, the HIV epidemic, and increasing rates of non-communicable diseases, people in sub-Saharan Africa are especially vulnerable to kidney disease. Little is known about the epidemiology of chronic kidney disease (CKD) in sub-Saharan Africa, so we did a systematic review and meta-analysis examining the epidemiology of the disease. Methods: We searched Medline, Embase, and WHO Global Health Library databases for all articles published through March 29, 2012, and searched the reference lists of retrieved articles. We independently reviewed each study for quality. We used the inverse-variance random-effects method for meta-analyses of the medium-quality and high-quality data and explored heterogeneity by comparing CKD burdens across countries, settings (urban or rural), comorbid disorders (hypertension, diabetes, HIV), CKD definitions, and time. Findings: Overall, we included 90 studies from 96 sites in the review. Study quality was low, with only 18 (20%) medium-quality studies and three (3%) high-quality studies. We noted moderate heterogeneity between the medium-quality and high-quality studies (n=21; I2=47·11%, p<0·0009). Measurement of urine protein was the most common method of determining the presence of kidney disease (62 [69%] studies), but the Cockcroft-Gault formula (22 [24%] studies) and Modification of Diet in Renal Disease formula (17 [19%] studies) were also used. Most of the studies were done in urban settings (83 [93%] studies) and after the year 2000 (57 [63%] studies), and we detected no significant difference in the prevalence of CKD between urban (12·4%, 95% CI 11–14) and rural (16·5%, 13·8–19·6) settings (p=0·474). The overall prevalence of CKD from the 21 medium-quality and high-quality studies was 13·9% (95% CI 12·2–15·7). Interpretation: In sub-Saharan Africa, CKD is a substantial health burden with risk factors that include communicable and non-communicable diseases. However, poor data quality limits inferences and draws attention to the need for more information and validated measures of kidney function especially in the context of the growing burden of non-communicable diseases. Funding: Duke University

Environmental changes affect the microbial release of hydrogen sulfide and methane from sediments at Boknis Eck (SW Baltic Sea)

Anthropogenic activities are modifying the oceanic environment rapidly and are causing ocean warming and deoxygenation, affecting biodiversity, productivity, and biogeochemical cycling. In coastal sediments, anaerobic organic matter degradation essentially fuels the production of hydrogen sulfide and methane. The release of these compounds from sediments is detrimental for the (local) environment and entails socio-economic consequences. Therefore, it is vital to understand which microbes catalyze the re-oxidation of these compounds under environmental dynamics, thereby mitigating their release to the water column. Here we use the seasonally dynamic Boknis Eck study site (SW Baltic Sea), where bottom waters annually fall hypoxic or anoxic after the summer months, to extrapolate how the microbial community and its activity reflects rising temperatures and deoxygenation. During October 2018, hallmarked by warmer bottom water and following a hypoxic event, modeled sulfide and methane production and consumption rates are higher than in March at lower temperatures and under fully oxic bottom water conditions. The microbial populations catalyzing sulfide and methane metabolisms are found in shallower sediment zones in October 2018 than in March 2019. DNA-and RNA profiling of sediments indicate a shift from primarily organotrophic to (autotrophic) sulfide oxidizing Bacteria, respectively. Previous studies using data collected over decades demonstrate rising temperatures, decreasing eutrophication, lower primary production and thus less fresh organic matter transported to the Boknis Eck sediments. Elevated temperatures are known to stimulate methanogenesis, anaerobic oxidation of methane, sulfate reduction and essentially microbial sulfide consumption, likely explaining the shift to a phylogenetically more diverse sulfide oxidizing community based on RNA