The effect of excess fluid balance on the mortality rate of surgical patients: a multicenter prospective study

INTRODUCTION: In some studies including small populations of patients undergoing specific surgery, an intraoperative liberal infusion of fluids was associated with increasing morbidity when compared to restrictive strategies. Therefore, to evaluate the role of excessive fluid infusion in a general population with high-risk surgery is very important. The aim of this study was to evaluate the impact of intraoperative fluid balance on the postoperative organ dysfunction, infection and mortality rate. METHODS: We conducted a prospective cohort study during one year in four ICUs from three tertiary hospitals, which included patients aged 18 years or more who required postoperative ICU after undergoing major surgery. Patients who underwent palliative surgery and whose fluid balance could change in outcome were excluded. The calculation of fluid balance was based on preoperative fasting, insensible losses from surgeries and urine output minus fluid replacement intraoperatively. RESULTS: The study included 479 patients. Mean age was 61.2 ± 17.0 years and 8.8% of patients died at the hospital during the study. The median duration of surgery was 4.0 (3.2 to 5.5) h and the value of the Simplified Acute Physiology Score (SAPS) 3 score was 41.8 ± 14.5. Comparing survivors and non-survivors, the intraoperative fluid balance from non-survivors was higher (1,950 (1,400 to 3,400) mL vs. 1,400 (1,000 to 1,600) mL, P <0.001). Patients with fluid balance above 2,000 mL intraoperatively had a longer ICU stay (4.0 (3.0 to 8.0) vs. 3.0 (2.0 to 6.0), P <0.001) and higher incidence of infectious (41.9% vs. 25.9%, P = 0.001), neurological (46.2% vs. 13.2%, P <0.001), cardiovascular (63.2% vs. 39.6%, P <0.001) and respiratory complications (34.3% vs. 11.6%, P <0.001). In multivariate analysis, the fluid balance was an independent factor for death (OR per 100 mL = 1.024; P = 0.006; 95% CI 1.007 to 1.041). CONCLUSIONS: Patients with excessive intraoperative fluid balance have more ICU complications and higher hospital mortality

Critérios para admissão de pacientes na unidade de terapia intensiva e mortalidade

OBJETIVO: O objetivo do estudo foi avaliar os critérios utilizados na prática clínica, no processo de triagem de pacientes para admissão em UTI. MÉTODOS: Estudo de coorte prospectivo, em hospital terciário. Foram comparados quatro grupos diferentes de pacientes em relação à necessidade para admissão na UTI e divididos em prioridades 1, 2, 3 e 4, ou seja, prioridade 1 mais necessária até prioridade 4, menos necessária. RESULTADOS: Incluiu-se 359 pacientes, idade 66 (53,2-75,0) anos. APACHE II foi 23 (18-30). Obtevese 70,4% de vagas cedidas na UTI. A idade foi maior nos pacientes para os quais foram recusadas vagas em UTI 66,2±16,1 vs 61,9±15,2 anos (p= 0,02) e a prioridade 1 apresentou mais vagas cedidas 39,1% vs 23,8% vagas recusadas (p=0,01), o contrário ocorreu com prioridades 3 e 4. Pacientes com prioridades 3 e 4 apresentaram maiores idade, escores prognósticos e mais disfunções orgânicas, assim como maiores taxas de recusas. Ocorreram altas mortalidades destes grupos na UTI, 86,7% vs 31,3% no grupo de prioridades 1 e 2 (pOBJECTIVE: The aim of the study was to evaluate criteria used in clinical practice, for screening of patients for ICU admission. METHODS: Cohort prospective study in a tertiary hospital. Four groups were compared in relation to ICU admission by ranking priorities into groups 1, 2, 3 and 4; highest priority 1, lowest priority 4. RESULTS: Enrolled were 359 patients, 66 (53.2-75.0) years old. APACHE II was 23 (18-30). The ICU made available 70.4% of beds. Patients who were refused beds in the ICU were older, 66.2±16.1 versus 61.9±15.2 years of age (p= 0.02) and the priority 1 group had less refusal of beds, which means, 39.1% versus 23.8% had beds refused (p=0.01). The opposite occurred with priorities 3 and 4. Patients in priority 3 and 4 showed older ages, score system and more organ dysfunctions as well as more refusals of beds. ICU mortality rates were higher for priority groups 3 and 4 when compared to 1 and 2 priority groups, 86.7% versus 31.3% (p<0.001). CONCLUSION: Age, score system and organ dysfunctions were greater in priority groups 3 and 4 and these were related with refusal from the ICU. Patients refused admission to the ICU showed higher mortality rates and these remained higher among priority groups 3 and 4 even when patients were admitted to the ICU

The effect of excess fluid balance on the mortality rate of surgical patients: a multicenter prospective study

Introduction\ud In some studies including small populations of patients undergoing specific surgery, an intraoperative liberal infusion of fluids was associated with increasing morbidity when compared to restrictive strategies. Therefore, to evaluate the role of excessive fluid infusion in a general population with high-risk surgery is very important. The aim of this study was to evaluate the impact of intraoperative fluid balance on the postoperative organ dysfunction, infection and mortality rate.\ud \ud \ud Methods\ud We conducted a prospective cohort study during one year in four ICUs from three tertiary hospitals, which included patients aged 18 years or more who required postoperative ICU after undergoing major surgery. Patients who underwent palliative surgery and whose fluid balance could change in outcome were excluded. The calculation of fluid balance was based on preoperative fasting, insensible losses from surgeries and urine output minus fluid replacement intraoperatively.\ud \ud \ud Results\ud The study included 479 patients. Mean age was 61.2 ± 17.0 years and 8.8% of patients died at the hospital during the study. The median duration of surgery was 4.0 (3.2 to 5.5) h and the value of the Simplified Acute Physiology Score (SAPS) 3 score was 41.8 ± 14.5. Comparing survivors and non-survivors, the intraoperative fluid balance from non-survivors was higher (1,950 (1,400 to 3,400) mL vs. 1,400 (1,000 to 1,600) mL, P <0.001). Patients with fluid balance above 2,000 mL intraoperatively had a longer ICU stay (4.0 (3.0 to 8.0) vs. 3.0 (2.0 to 6.0), P <0.001) and higher incidence of infectious (41.9% vs. 25.9%, P = 0.001), neurological (46.2% vs. 13.2%, P <0.001), cardiovascular (63.2% vs. 39.6%, P <0.001) and respiratory complications (34.3% vs. 11.6%, P <0.001). In multivariate analysis, the fluid balance was an independent factor for death (OR per 100 mL = 1.024; P = 0.006; 95% CI 1.007 to 1.041).\ud \ud \ud Conclusions\ud Patients with excessive intraoperative fluid balance have more ICU complications and higher hospital mortality

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Background Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. Methods We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI &lt;18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school&#x2;aged children and adolescents, we report thinness (BMI &lt;2 SD below the median of the WHO growth reference) and obesity (BMI &gt;2 SD above the median). Findings From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. Interpretation The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesit

Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

Trombocitopenia em cirurgia cardíaca: importância diagnóstica e prognóstica Thrombocytopenia in cardiac surgery: diagnostic and prognostic importance

OBJETIVO: Pacientes submetidos à cirurgia cardíaca estão mais propensos a desenvolver plaquetopenia. A trombocitopenia induzida por heparina acomete cerca de 5% dos pacientes. O objetivo foi avaliar a importância clínica da trombocitopenia grave em pacientes no pós-operatório de cirurgia cardíaca. MÉTODOS: Estudo prospectivo observacional que incluiu os pacientes de cirurgia cardíaca com plaquetas <150.000 cel/mm³, durante as primeiras 24 h do pós-operatório. Todos os pacientes foram submetidos a avaliação pelo escore dos quatro "Ts" (trombocitopenia, uso de heparina prévia, trombose e queda de plaquetas não relacionada à heparina) e considerado como suspeita de trombocitopenia induzida pela heparina tipo II um escore > 6. A mortalidade na Unidade de Terapia Intensiva (UTI) e hospitalar, o tempo de internação, os escores de gravidade e a incidência de tromboses foram comparados em pacientes com escore e" 6 (grupo 1) e < 6 (grupo 2). RESULTADOS: Foram incluídos 120 pacientes divididos nos dois grupos, não havendo diferença entre os mesmos com relação a idade, prevalência do sexo, tempo de circulação extracorpórea e de cirurgia. Contudo, a incidência de trombose foi mais elevada nos pacientes do grupo 1 (23% vs. 0%, P<0,0001), assim como quanto maior o escore maior a mortalidade hospitalar (P<0,001). CONCLUSÕES: O escore > 6, em pacientes no pós-operatório de cirurgia cardíaca, está associado a maior incidência de trombose, assim como o maior escore está relacionado à elevada mortalidade hospitalar.<br>OBJECTIVE: Patients undergo to cardiac surgery have more probability to develop thrombocytopenia. The heparin induced thrombocytopenia happens in 5% of the patients. The aim from this study was to evaluate the clinical importance from the severe thrombocytopenia in postoperative cardiac surgical patients. METHODS: It was included cardiac surgical patients with platelets < 150000 cel/mm³ during firsts 24 h from postoperative. All patients underwent evaluation for four Ts score (thrombocytopenia, use preview of heparin, thrombosis and platelets decreased not related to heparin). In order to a four Ts score e" 6 was considered as suggestive of heparin induced thrombocytopenia type II. The mortality rate in intensive care (ICU) and hospital, length of stay, healthy state and incidence from thrombosis were compared in patients with score > 6 (group 1) and < 6 (group 2). RESULTS: It was include 120 patients who met the inclusions criterions. There was no difference between the groups in related to age, gender, time of cardiopulmonary bypass and surgery. However, the incidence of thrombosis was higher in group 1 (23% vs. 0%, P<0.0001), as well as the greater score is related to higher hospital mortality rate. CONCLUSION: The score > 6, in postoperative cardiac surgical patients, it is associated to higher incidence of thrombosis as well as the greater score is related to higher hospital mortality rate