scholarly journals Factors associated with severe maternal morbidity and near miss in the São FranciscoValley, Brazil: a retrospective, cohort study

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Alvaro José Correia Pacheco ◽  
Leila Katz ◽  
Alex Sandro Rolland Souza ◽  
Melania Maria Ramos de Amorim
BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039260
Author(s):  
Akilew A Adane ◽  
Brad M Farrant ◽  
Rhonda Marriott ◽  
Scott W White ◽  
Helen D Bailey ◽  
...  

ObjectivesTo assess the scale of ethnic inequalities in severe maternal morbidity (SMM) rates and quantify the contribution of maternal characteristics to these disparities.DesignRetrospective cohort study.SettingWhole-of-population linked administrative data from 2002 to 2015 in Western Australia.ParticipantsWomen with 410 043 birth events (includes all births from the same pregnancy) of 20 weeks’ or more gestation, including terminations for congenital anomalies.Primary and secondary outcome measuresWomen with SMM were identified based on a composite indicator of SMM using diagnosis and procedure codes developed for use in routinely collected data. Mothers were classified into seven ethnic groups, based on their reported ethnic origin. The associations between maternal ethnic origin and SMM were examined using a log-binomial model, which estimates risk ratios (RRs) and 95% CIs. The Blinder-Oaxaca decomposition technique was employed to partition the disparity in SMM between Aboriginal and Caucasian populations into ‘explained’ and ‘unexplained’ components.ResultsDuring the study period, 9378 SMM cases were documented. In the adjusted model, Aboriginal (RR 1.73, 95% CI 1.59 to 1.87), African (RR 1.64, 95% CI 1.43 to 1.89) and ‘other’ ethnicity (RR 1.49, 95% CI 1.37 to 1.63) women were at significantly higher risk of SMM compared with Caucasian women. Teenage and older mothers and socioeconomically disadvantaged women were also at greater risk of SMM. Differences in sociodemographic characteristics explained 33.2% of the disparity in SMM between Aboriginal and Caucasian women.ConclusionsThere are distinct disparities in SMM by ethnicity in Western Australia, with a greater risk among Aboriginal and African women. While improvements in SES and a reduction in teenage pregnancy can potentially support a sizeable reduction in SMM rate inequalities, future research should investigate other potential pathways and targeted interventions to close the ethnicity disparity.


PLoS Medicine ◽  
2017 ◽  
Vol 14 (5) ◽  
pp. e1002307 ◽  
Author(s):  
Sarka Lisonkova ◽  
Jayson Potts ◽  
Giulia M. Muraca ◽  
Neda Razaz ◽  
Yasser Sabr ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049089
Author(s):  
Marcia C Castro ◽  
Susie Gurzenda ◽  
Eduardo Marques Macário ◽  
Giovanny Vinícius A França

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort study of hospitalised patients diagnosed with COVID-19.SettingData from all hospitals across Brazil.Participants522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19.Primary and secondary outcome measuresPrevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression.ResultsOf the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47–73), and of non-survivors 71 years (IQR, 60–80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3–9) and 7 days (IQR, 3–10), respectively; 15 days (IQR, 9–24) to death and 15 days (IQR, 11–20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20.ConclusionsCharacteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.


2018 ◽  
Vol 124 (5) ◽  
pp. 607-614 ◽  
Author(s):  
Akihiro Komatsu ◽  
Tetsuhiro Yoshino ◽  
Takeshi Suzuki ◽  
Tomonori Nakamura ◽  
Takanori Kanai ◽  
...  

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