Avaliação da cicatrização da episiotomia: confiabilidade da escala REEDA (Redness, Oedema, Ecchymosis, Discharge, Approximation)

OBJECTIVE: to analyse the Redness, Oedema, Ecchymosis, Discharge, Approximation (REEDA) scale reliability when evaluating perineal healing after a normal delivery with a right mediolateral episiotomy. METHOD: observational study based on data from a clinical trial conducted with 54 randomly selected women, who had their perineal healing assessed at four time points, from 6 hours to 10 days after delivery, by nurses trained in the use of this scale. The kappa coefficient was used in the reliability analysis of the REEDA scale. RESULTS: the results indicate good agreement in the evaluation of the discharge item (0.75< Kappa ≥0.88), marginal and good agreement in the first three assessments of oedema (0.16< Kappa ≥0.46), marginal agreement in the evaluation of ecchymosis (0.25< Kappa ≥0.42) and good agreement regarding redness (0.46< Kappa ≥0.66). For the item coaptation, the agreement decreased from excellent in the first assessment to good in the last assessment. In the fourth evaluation, the assessment of all items displayed excellent or good agreement among the evaluators. CONCLUSION: the difference in the scores among the evaluators when applying the scale indicates that this tool must be improved to allow an accurate assessment of the episiotomy healing process.OBJETIVO: analizar la confiabilidad de la escala de Enrojecimiento, Edema, Equimosis, Drenaje, Aproximación (REEDA) en la evaluación de la curación perineal tras parto normal con episiotomía mediolateral derecha. MÉTODO: estudio observacional con base en datos de un ensayo clínico conducido con 54 mujeres elegidas de forma aleatoria, con evaluación de su curación perineal en cuatro momentos, entre 6 horas y 10 días después del parto, por enfermeras capacitadas en el uso de esta escala. El coeficiente de kappa fue utilizado en el análisis de confiabilidad de la escala REEDA. RESULTADOS: los resultados indican buena concordancia en la evaluación del ítem drenaje (0,75< Kappa ≥0,88), concordancia marginal y buena en las primeras tres evaluaciones de edema (0,16< Kappa ≥0,46), concordancia marginal en la evaluación de equimosis (0,25< Kappa ≥0,42) y buena concordancia sobre enrojecimiento (0,46< Kappa ≥0,66). Para el ítem coaptación, la concordancia disminuyó de excelente en la primera evaluación hasta buena en la última. En el cuarto momento, la evaluación de todos los ítems mostró concordancia excelente o buena entre los evaluadores. CONCLUSIÓN: la diferencia en las notas entre los evaluadores en la aplicación de la escala indica que esta herramienta debe ser mejorada para permitir una evaluación correcta del proceso de curación de la episiotomía.OBJETIVO: analisar a confiabilidade da escala REEDA (Redness, Oedema, Ecchymosis, Discharge, Approximation) para avaliar a cicatrização do períneo após parto vaginal com episiotomia médio-lateral direita. MÉTODO: estudo observacional, baseado em dados coletados em ensaio clínico, conduzido com 54 mulheres, selecionadas aleatoriamente. As mesmas tiveram o processo de cicatrização perineal avaliado em quatro momentos (de 6 horas a 10 dias após o parto), por enfermeiras treinadas para o uso da escala. O coeficiente kappa foi usado para análise de confiabilidade da escala REEDA. RESULTADOS: os resultados indicam bom nível de concordância na avaliação do item secreção (0,75&lt; Kappa ≥0,88), concordância boa e marginal em relação ao item equimose (0,25&lt; Kappa ≥0,42), e bom nível de concordância em relação à hiperemia (0,46&lt; Kappa ≥0,66). O nível de concordância referente à avaliação do item coaptação diminuiu de excelente, na primeira avaliação, para bom, na última avaliação. CONCLUSÃO: a diferença entre as pontuações atribuídas pelas avaliadoras na aplicação da escala indica que o instrumento precisa ser melhorado, para permitir avaliações mais precisas do processo de cicatrização da episiotomia

Effect of a Resuscitation Strategy Targeting Peripheral Perfusion Status vs Serum Lactate Levels on 28-Day Mortality Among Patients With Septic Shock The ANDROMEDA-SHOCK Randomized Clinical Trial

Importance Abnormal peripheral perfusion after septic shock resuscitation has been associated with organ dysfunction and mortality. The potential role of the clinical assessment of peripheral perfusion as a target during resuscitation in early septic shock has not been established. Objective To determine if a peripheral perfusion–targeted resuscitation during early septic shock in adults is more effective than a lactate level–targeted resuscitation for reducing mortality. Design, Setting, and Participants Multicenter, randomized trial conducted at 28 intensive care units in 5 countries. Four-hundred twenty-four patients with septic shock were included between March 2017 and March 2018. The last date of follow-up was June 12, 2018. Interventions Patients were randomized to a step-by-step resuscitation protocol aimed at either normalizing capillary refill time (n = 212) or normalizing or decreasing lactate levels at rates greater than 20% per 2 hours (n = 212), during an 8-hour intervention period. Main Outcomes and Measures The primary outcome was all-cause mortality at 28 days. Secondary outcomes were organ dysfunction at 72 hours after randomization, as assessed by Sequential Organ Failure Assessment (SOFA) score (range, 0 [best] to 24 [worst]); death within 90 days; mechanical ventilation–, renal replacement therapy–, and vasopressor-free days within 28 days; intensive care unit and hospital length of stay. Results Among 424 patients randomized (mean age, 63 years; 226 [53%] women), 416 (98%) completed the trial. By day 28, 74 patients (34.9%) in the peripheral perfusion group and 92 patients (43.4%) in the lactate group had died (hazard ratio, 0.75 [95% CI, 0.55 to 1.02]; P = .06; risk difference, −8.5% [95% CI, −18.2% to 1.2%]). Peripheral perfusion–targeted resuscitation was associated with less organ dysfunction at 72 hours (mean SOFA score, 5.6 [SD, 4.3] vs 6.6 [SD, 4.7]; mean difference, −1.00 [95% CI, −1.97 to −0.02]; P = .045). There were no significant differences in the other 6 secondary outcomes. No protocol-related serious adverse reactions were confirmed. Conclusions and Relevance Among patients with septic shock, a resuscitation strategy targeting normalization of capillary refill time, compared with a strategy targeting serum lactate levels, did not reduce all-cause 28-day mortality

Effect of a Resuscitation Strategy Targeting Peripheral Perfusion Status vs Serum Lactate Levels on 28-Day Mortality Among Patients With Septic Shock : The ANDROMEDA-SHOCK Randomized Clinical Trial

IMPORTANCE: Abnormal peripheral perfusion after septic shock resuscitation has been associated with organ dysfunction and mortality. The potential role of the clinical assessment of peripheral perfusion as a target during resuscitation in early septic shock has not been established. OBJECTIVE: To determine if a peripheral perfusion–targeted resuscitation during early septic shock in adults is more effective than a lactate level–targeted resuscitation for reducing mortality. DESIGN, SETTING, AND PARTICIPANTS Multicenter, randomized trial conducted at 28 intensive care units in 5 countries. Four-hundred twenty-four patients with septic shock were included between March 2017 and March 2018. The last date of follow-up was June 12, 2018. INTERVENTIONS: Patients were randomized to a step-by-step resuscitation protocol aimed at either normalizing capillary refill time (n = 212) or normalizing or decreasing lactate levels at rates greater than 20% per 2 hours (n = 212), during an 8-hour intervention period. MAIN OUTCOMES AND MEASURES The primary outcome was all-cause mortality at 28 days. Secondary outcomes were organ dysfunction at 72 hours after randomization, as assessed by Sequential Organ Failure Assessment (SOFA) score (range, 0 [best] to 24 [worst]); death within 90 days; mechanical ventilation–, renal replacement therapy–, and vasopressor-free days within 28 days; intensive care unit and hospital length of stay. RESULTS: Among 424 patients randomized (mean age, 63 years; 226 [53%] women), 416 (98%) completed the trial. By day 28, 74 patients (34.9%) in the peripheral perfusion group and 92 patients (43.4%) in the lactate group had died (hazard ratio, 0.75 [95% CI, 0.55 to 1.02]; P = .06; risk difference, −8.5% [95% CI, −18.2% to 1.2%]). Peripheral perfusion–targeted resuscitation was associated with less organ dysfunction at 72 hours (mean SOFA score, 5.6 [SD, 4.3] vs 6.6 [SD, 4.7]; mean difference, −1.00 [95% CI, −1.97 to −0.02]; P = .045). There were no significant differences in the other 6 secondary outcomes. No protocol-related serious adverse reactions were confirmed. CONCLUSIONS AND RELEVANCE: Among patients with septic shock, a resuscitation strategy targeting normalization of capillary refill time, compared with a strategy targeting serum lactate levels, did not reduce all-cause 28-day mortality.Facultad de Ciencias Médica

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Diagnostics for generalized linear models for repeated measures data with missing values

A literatura dispõe de métodos de diagnóstico para avaliar o ajuste de modelos lineares generalizados (MLGs) para medidas repetidas baseado em equações de estimação generalizada (EEG). No entanto, tais métodos não contemplam a distribuição binomial nem bancos de dados com observações faltantes. O presente trabalho generalizou os métodos já desenvolvidos para essas duas situações. Na construção de gráficos de probabilidade meio-normal com envelope simulado para a distribuição binomial, foi proposto um método para geração de variáveis aleatórias com distribuição marginal binomial correlacionadas, baseado na convolução de variáveis com distribuição de Poisson independentes. Os métodos de diagnóstico desenvolvidos foram aplicados em dados reais e simulados.Literature provides diagnostic methods to assess the fit of generalized linear models (GLM) for repeated measures based on generalized estimating equations (GEE). Still, such methods do not include the binomial distribution or databases with missing observations. This work generalizes the methods already developed for these two situations. A method for generating random variables with correlated marginal binomial distributions based on convolution of independent Poisson random variables has been proposed for the construction of half-normal probability plots. The diagnostic methods developed were applied to real and simulated data

DEFICIÊNCIA DE VITAMINA A EM CRIANÇAS BRASILEIRAS E VARIÁVEIS ASSOCIADAS

RESUMO Objetivo: Analisar variáveis associadas à deficiência de vitamina A (DVA) em crianças brasileiras de 6 a 59 meses de idade, considerando um modelo hierárquico de determinação. Métodos: Trata-se de um recorte da Pesquisa Nacional de Demografia e Saúde da Criança e da Mulher (PNDS), realizada em 2006. A análise dos dados incluiu 3.417 crianças de seis a 59 meses com dados de retinol. A DVA foi definida como retinol sérico <0,7 mmol/L. Realizaram-se análises univariada e ajustada por regressão múltipla de Poisson, com nível de significância de 5%, utilizando-se modelo hierárquico de determinação que considerou três blocos de variáveis: vinculadas aos processos estruturais da sociedade (variáveis socioeconômicas e demográficas); ao ambiente imediato da criança (variáveis maternas, de segurança e consumo alimentar); e individuais (características biológicas da criança). Os dados foram expressos em razão de prevalência (RP). Resultados: Após ajuste para variáveis de confusão, permaneceram associadas à DVA: residir no Sudeste [RP=1,59; IC95% 1,19-2,17] e no Nordeste [RP=1,56; IC95% 1,16-2,15]; em zona urbana [RP=1,31; IC95% 1,02-1,72]; ter mãe com idade ≥36 anos [RP=2,28; IC95% 1,37-3,98]; sendo proteção consumir carne pelo menos uma vez nos últimos sete dias [RP=0,24; IC95% 0,13-0,42]. Conclusões: As principais variáveis associadas à DVA no país relacionam-se aos processos estruturais da sociedade e ao ambiente imediato da criança, e não aos individuais

VITAMIN A DEFICIENCY IN BRAZILIAN CHILDREN AND ASSOCIATED VARIABLES

<p></p><p>ABSTRACT Objective: To analyze the variables associated with vitamin A deficiency (VAD) in Brazilian children aged 6 to 59 months, considering a hierarchical model of determination. Methods: This is part of the National Survey on Demography and Health of Women and Children, held in 2006. Data analysis included 3,417 children aged from six to 59 months with retinol data. Vitamin A deficiency was defined as serum retinol <0.7 mol/L. Univariate and multiple Poisson regression analysis were performed, with significance level set at 5%, using a hierarchical model of determination that considered three conglomerates of variables: those linked to the structural processes of community (socioeconomic-demographic variables); to the immediate environment of the child (maternal variables, safety and food consumption); and individual features (biological characteristics of the child). Data were expressed in prevalence ratio (PR). Results: After adjustment for confounding variables, the following remained associated with VAD: living in the Southeast [PR=1,59; 95%CI 1,19-2,17] and Northeast [PR=1,56; 95%CI 1,16-2,15]; in urban area [RP=1,31; 95%CI 1,02-1,72]; and mother aged ≥36 years [RP=2,28; 95%CI 1,37-3,98], the consumption of meat at least once in the last seven days was a protective factor [PR=0,24; 95%CI 0,13-0,42]. Conclusions: The main variables associated with VAD in the country are related to structural processes of society and to the immediate, but not individual, environment of the child.</p><p></p