scholarly journals Neonatal hypothermia in Northern Uganda: a community-based cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041723
Author(s):  
David Mukunya ◽  
James K Tumwine ◽  
Victoria Nankabirwa ◽  
Beatrice Odongkara ◽  
Justin B Tongun ◽  
...  
Keyword(s):  
Controlled Trial ◽  
Case Fatality ◽  
Northern Uganda ◽  
Breastfeeding Initiation ◽  
Axillary Temperature ◽  
Cross Sectional ◽  
Fatality Risk ◽  
Severe Hypothermia ◽  
Case Fatality Risk ◽  
Neonatal Hypothermia

ObjectiveTo determine the prevalence, predictors and case fatality risk of hypothermia among neonates in Lira district, Northern Uganda.SettingThree subcounties of Lira district in Northern Uganda.DesignThis was a community-based cross-sectional study nested in a cluster randomised controlled trial.ParticipantsMother–baby pairs enrolled in a cluster randomised controlled trial. An axillary temperature was taken during a home visit using a lithium battery-operated digital thermometer.Primary and secondary outcomesThe primary outcome measure was the prevalence of hypothermia. Hypothermia was defined as mild if the axillary temperature was 36.0°C to <36.5°C, moderate if the temperature was 32.0°C to <36.0°C and severe hypothermia if the temperature was <32.0°C. The secondary outcome measure was the case fatality risk of neonatal hypothermia. Predictors of moderate to severe hypothermia were determined using a generalised estimating equation model for the Poisson family.ResultsWe recruited 1330 neonates. The prevalence of hypothermia (<36.5°C) was 678/1330 (51.0%, 95% CI 46.9 to 55.1). Overall, 32% (429/1330), 95% CI 29.5 to 35.2 had mild hypothermia, whereas 18.7% (249/1330), 95% CI 15.8 to 22.0 had moderate hypothermia. None had severe hypothermia. At multivariable analysis, predictors of neonatal hypothermia included: home birth (adjusted prevalence ratio, aPR, 1.9, 95% CI 1.4 to 2.6); low birth weight (aPR 1.7, 95% CI 1.3 to 2.3) and delayed breastfeeding initiation (aPR 1.2, 95% CI 1.0 to 1.5). The case fatality risk ratio of hypothermic compared with normothermic neonates was 2.0 (95% CI 0.60 to 6.9).ConclusionThe prevalence of neonatal hypothermia was very high, demonstrating that communities in tropical climates should not ignore neonatal hypothermia. Interventions designed to address neonatal hypothermia should consider ways of reaching neonates born at home and those with low birth weight. The promotion of early breastfeeding initiation and skin-to-skin care could reduce the risk of neonatal hypothermia.Trial registration numberClinicalTrial.gov as NCT02605369.

scholarly journals Mortality in Escherichia coli bloodstream infections: a multinational population-based cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Melissa C. MacKinnon ◽  
Scott A. McEwen ◽  
David L. Pearl ◽  
Outi Lyytikäinen ◽  
Gunnar Jacobsson ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Mortality Rate ◽  
Case Fatality ◽  
Population Based ◽  
Day Case ◽  
Fatality Risk ◽  
E Coli ◽  
Factors Associated ◽  
Case Fatality Risk ◽  
Age And Sex

Abstract Background Escherichia coli is the most common cause of bloodstream infections (BSIs) and mortality is an important aspect of burden of disease. Using a multinational population-based cohort of E. coli BSIs, our objectives were to evaluate 30-day case fatality risk and mortality rate, and determine factors associated with each. Methods During 2014–2018, we identified 30-day deaths from all incident E. coli BSIs from surveillance nationally in Finland, and regionally in Sweden (Skaraborg) and Canada (Calgary, Sherbrooke, western interior). We used a multivariable logistic regression model to estimate factors associated with 30-day case fatality risk. The explanatory variables considered for inclusion were year (2014–2018), region (five areas), age (< 70-years-old, ≥70-years-old), sex (female, male), third-generation cephalosporin (3GC) resistance (susceptible, resistant), and location of onset (community-onset, hospital-onset). The European Union 28-country 2018 population was used to directly age and sex standardize mortality rates. We used a multivariable Poisson model to estimate factors associated with mortality rate, and year, region, age and sex were considered for inclusion. Results From 38.7 million person-years of surveillance, we identified 2961 30-day deaths in 30,923 incident E. coli BSIs. The overall 30-day case fatality risk was 9.6% (2961/30923). Calgary, Skaraborg, and western interior had significantly increased odds of 30-day mortality compared to Finland. Hospital-onset and 3GC-resistant E. coli BSIs had significantly increased odds of mortality compared to community-onset and 3GC-susceptible. The significant association between age and odds of mortality varied with sex, and contrasts were used to interpret this interaction relationship. The overall standardized 30-day mortality rate was 8.5 deaths/100,000 person-years. Sherbrooke had a significantly lower 30-day mortality rate compared to Finland. Patients that were either ≥70-years-old or male both experienced significantly higher mortality rates than those < 70-years-old or female. Conclusions In our study populations, region, age, and sex were significantly associated with both 30-day case fatality risk and mortality rate. Additionally, 3GC resistance and location of onset were significantly associated with 30-day case fatality risk. Escherichia coli BSIs caused a considerable burden of disease from 30-day mortality. When analyzing population-based mortality data, it is important to explore mortality through two lenses, mortality rate and case fatality risk.

scholarly journals Estimating the Case Fatality Risk of COVID-19 using Cases from Outside China

2020 ◽  
Author(s):  
Nick Wilson ◽  
Amanda Kvalsvig ◽  
Lucy Telfar Barnard ◽  
Michael G Baker
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Meta Analysis ◽  
Case Fatality ◽  
Large Uncertainty ◽  
Icu Patients ◽  
Fatality Risk ◽  
Case Fatality Risk ◽  
Respiratory Conditions

AbstractThere is large uncertainty around the case fatality risk (CFR) for COVID-19 in China. Therefore, we considered symptomatic cases outside of China (countries/settings with 20+ cases) and the proportion who are in intensive care units (4.0%, 14/349 on 13 February 2020). Given what is known about CFRs for ICU patients with severe respiratory conditions from a meta-analysis, we estimated a CFR of 1.37% (95%CI: 0.57% to 3.22%) for COVID- 19 cases outside of China.

scholarly journals A Comparison of Case Fatality Risk of COVID-19 between Singapore and Japan

2020 ◽  
Vol 9 (10) ◽  
pp. 3326
Author(s):  
Taishi Kayano ◽  
Hiroshi Nishiura
Keyword(s):  
Age Distribution ◽  
Case Fatality ◽  
Standardized Mortality Ratio ◽  
Fatality Risk ◽  
Illness Onset ◽  
High Virulence ◽  
Mortality Ratio ◽  
The Many ◽  
Case Fatality Risk ◽  
Protection Against Infection

The crude case fatality risk (CFR) for coronavirus disease (COVID-19) in Singapore is remarkably small. We aimed to estimate the unbiased CFR by age for Singapore and Japan and compare these estimates by calculating the standardized mortality ratio (SMR). Age-specific CFRs for COVID-19 were estimated in real time, adjusting for the delay from illness onset to death. The SMR in Japan was estimated by using the age distribution of the Singapore population. Among cases aged 60–69 years and 70–79 years, the age-specific CFRs in Singapore were estimated as 1.84% (95% confidence interval: 0.46–4.72%) and 5.57% (1.41–13.97%), respectively, and those in Japan as 5.52% (4.55–6.62%) and 15.49% (13.81–17.27%), respectively. The SMR of COVID-19 in Japan, when compared with Singapore as the baseline, was estimated to be 1.46 (1.09–2.96). The overall CFR for Singapore is lower than that for Japan. It is possible that the circulating variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Singapore causes a milder clinical course of COVID-19 infection compared with other strains. If infection with a low-virulence SARS-CoV-2 variant provides protection against infection by high-virulence strains, the existence of such a strain is encouraging news for the many countries struggling to suppress this virus.

scholarly journals Case Fatality Risk of the First Pandemic Wave of Coronavirus Disease 2019 (COVID-19) in China

2020 ◽  
Author(s):  
Xiaowei Deng ◽  
Juan Yang ◽  
Wei Wang ◽  
Xiling Wang ◽  
Jiaxin Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Influenza Pandemic ◽  
Mainland China ◽  
Case Fatality ◽  
Likelihood Estimation ◽  
H1n1 Influenza ◽  
Right Censoring ◽  
Time To Event ◽  
Fatality Risk ◽  
Case Fatality Risk

Abstract Background To assess the case fatality risk (CFR) of COVID-19 in mainland China, stratified by region and clinical category, and estimate key time-to-event intervals. Methods We collected individual information and aggregated data on COVID-19 cases from publicly available official sources from 29 December 2019 to 17 April 2020. We accounted for right-censoring to estimate the CFR and explored the risk factors for mortality. We fitted Weibull, gamma, and log-normal distributions to time-to-event data using maximum-likelihood estimation. Results We analyzed 82 719 laboratory-confirmed cases reported in mainland China, including 4632 deaths and 77 029 discharges. The estimated CFR was 5.65% (95% confidence interval [CI], 5.50–5.81%) nationally, with the highest estimate in Wuhan (7.71%) and lowest in provinces outside Hubei (0.86%). The fatality risk among critical patients was 3.6 times that of all patients and 0.8–10.3-fold higher than that of mild-to-severe patients. Older age (odds ratio [OR], 1.14 per year; 95% CI, 1.11–1.16) and being male (OR, 1.83; 95% CI, 1.10–3.04) were risk factors for mortality. The times from symptom onset to first healthcare consultation, to laboratory confirmation, and to hospitalization were consistently longer for deceased patients than for those who recovered. Conclusions Our CFR estimates based on laboratory-confirmed cases ascertained in mainland China suggest that COVID-19 is more severe than the 2009 H1N1 influenza pandemic in hospitalized patients, particularly in Wuhan. Our study provides a comprehensive picture of the severity of the first wave of the pandemic in China. Our estimates can help inform models and the global response to COVID-19.

scholarly journals B Part of It School Leaver protocol: an observational repeat cross-sectional study to assess the impact of a meningococcal serogroup B (4CMenB) vaccine programme on carriage ofNeisseria meningitidis

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e027233 ◽  
Author(s):  
Helen S Marshall ◽  
Mark McMillan ◽  
Ann Koehler ◽  
Andrew Lawrence ◽  
Jenny MacLennan ◽  
...  
Keyword(s):  
Controlled Trial ◽  
Age Groups ◽  
Case Fatality ◽  
Cluster Randomised Controlled Trial ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
School Students ◽  
Cross Sectional ◽  
The Impact ◽  
Carriage Prevalence

IntroductionInvasive meningococcal disease is uncommon but associated with a high-case fatality rate. Carriage prevalence of the causative bacteria,Neisseria meningitidis, is high in adolescents. A large (n=34 500) cluster randomised controlled trial (RCT) to assess the impact of a meningococcal B (MenB) vaccine on meningococcal carriage was implemented in the state of South Australia (SA) for year 10, 11 and 12 senior school students in 2017–2018. This study will assess the impact of MenB vaccine (4CMenB) on carriage prevalence in school leavers in SA, 1 and 2 years after implementation of the cluster RCT in adolescents. Measuring the impact of population programmes on carriage can assist in informing future meningococcal immunisation programmes such as targeted age groups and use of catch-up campaigns.Methods and analysisThis repeat cross-sectional study will assess carriage prevalence in 2018 and 2019. All school leavers who attended year 12 in any school in SA in 2018 or 2019 will be invited to participate in this study. An oropharyngeal swab will be taken from each participating student and a risk factor questionnaire completed by the student following informed consent. Students will attend clinics at SA universities, technical colleges, and metropolitan, rural and remote government council clinics. Confirmed vaccination history will allow a comparison in carriage prevalence between vaccinated and unvaccinated school leavers. A sample size of 4096 students per year will provide 80% power to detect a 20% difference in carriage prevalence of disease-causing meningococci (defined as genogroup A, B, C, W, X or Y) between years.Ethics and disseminationThe study was approved by the Women’s and Children’s Health Network Human Research Ethics Committee. Results will be published in international peer review journals and presented at national and international conferences.Trial registration numberNCT03419533; Pre-results

scholarly journals Clinical Determinants of the Severity of Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-Analysis

2020 ◽  
Author(s):  
Yanling Wu ◽  
Hu Li ◽  
Shengjin Li
Keyword(s):  
Risk Factors ◽  
Cerebrovascular Disease ◽  
Respiratory Disease ◽  
Meta Analysis ◽  
Case Fatality ◽  
Older Age ◽  
Fatality Risk ◽  
Male Sex ◽  
Case Fatality Risk ◽  
D Dimer

Abstract Background: SARS-CoV-2 is an emerging pathogen, and coronavirus disease 2019 (COVID-19) has been declared a global pandemic. We aim to summarize current evidence regarding the risk of death and the severity of COVID-19 as well as risk factors for severe COVID-19.Methods: The PubMed, Embase, and Web of Science databases as well as some Chinese databases were searched for clinical and epidemiological studies on COVID-19. We conducted a meta-analysis to examine COVID-19-related death and risk factors for the severity of COVID-19.Results: A total of 55 studies fulfilled the criteria for this review. The case fatality risk ranged from 0 to 61.5%, with a pooled estimate of 3.3%. The risks of ICU admission, acute respiratory distress syndrome (ARDS)and severe COVID-19 were 24.9%, 20.9% and 26.6%, respectively. Factors related to the risk of severe COVID-19 were older age (MD=10.09, 95% CI:7.03, 13.16), male sex (OR=1.62, 95% CI:1.32, 1.99), hypertension (OR=2.34, 95% CI:1.47, 3.73), diabetes (OR=2.25, 95% CI:1.68, 3.03), chronic renal disease (OR=3.60, 95% CI:1.53, 8.46), heart disease (OR=2.76, 95% CI:1.78, 4.30), respiratory disease (OR=3.74, 95% CI:2.15, 6.49), cerebrovascular disease (OR=2.21, 95% CI:1.23, 3.98), higher D-dimer levels (SMD=0.62, 95% CI:0.28, 0.96), and higher IL-6 levels (SMD=2.21, 95% CI:0.11, 4.31). However, liver disease (OR=0.63, 95% CI: 0.36, 1.10) was found to be a nonsignificant predictor of the severity of COVID-19.Conclusions: The case fatality risk of COVID-19 and the risk of severe manifestations were not very high, and variances in the study designs and regions led to high heterogeneity among the studies. Male sex, older age, comorbidities such as hypertension, diabetes, cardiovascular disease, respiratory disease and cerebrovascular disease could increase the risk of developing a severe case of COVID-19. Laboratory parameters, such as D-dimer and IL-6 levels, could affect the prognosis of COVID-19.

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