Comprimento cervical como preditor do período de latência e de infecção na rotura prematura pré-termo de membranas Cervical length as a predictor of the latent period and infection in preterm premature membranes rupture

OBJETIVO: Avaliar o comprimento cervical, por ultrassonografia transvaginal, em pacientes entre 28 e 34 semanas de idade gestacional, correlacionando com o período de latência e o risco de infecção materna e neonatal. MÉTODOS: Foram avaliadas 39 pacientes divididas em relação ao comprimento cervical nos pontos de corte de 15, 20 e 25 mm. Em relação ao período de latência, foram avaliados os parâmetros de 72 horas. Foram incluídas gestantes com feto vivo e idade gestacional entre 28 e 34 semanas, com diagnóstico confirmado na admissão de rotura prematura de membranas. Pacientes com corioamnionite, gestação múltipla, malformações fetais, malformações uterinas (útero bicorno, septado e didelfo), antecedentes de cirurgia prévia no colo uterino (conização e cerclagem) e dilatação do colo maior de 2 cm nas nulíparas e 3 cm nas multíparas foram excluídas no estudo. RESULTADOS: O comprimento do colo PURPOSE: To verify cervical length using transvaginal ultrasonography in pregnant women between 28 and 34 weeks of gestation, correlating it with the latent period and the risk of maternal and neonatal infections. METHODS: 39 pregnant women were evaluated and divided into groups based on their cervical length, using 15, 20 and 25 mm as cut-off points. The latency periods evaluated were three and seven days. Included were pregnant women with live fetuses and gestational age between 28 and 34 weeks, with a confirmed diagnosis on admission of premature rupture of membranes. Patients with chorioamnionitis, multiple gestation, fetal abnormalities, uterine malformations (bicornus septate and didelphic uterus), history of previous surgery on the cervix (conization and cerclage) and cervical dilation greater than 2 cm in nulliparous women and 3 cm in multiparae were excluded from the study. RESULTS: A <15 mm cervical length was found to be highly related to a latency period of up to 72 hours (p=0.008). A <20 mm cervical length was also associated with a less than 72 hour latency period (p=0.04). A <25 mm cervical length was not found to be statistically associated with a 72 hour latency period (p=0,12). There was also no significant correlation between cervical length and latency period and maternal and neonatal infection. CONCLUSION: The presence of a short cervix (<15 mm) was found to be related to a latency period of less than 72 hours, but not to maternal or neonatal infections

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: 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. Funding: National Institute for Health and Care Research