ACUTE ABDOMEN IN INTENSIVE CARE UNIT: ETIOLOGY, COMORBIDITY AND SEVERITY OF 1,523 PATIENTS.

BACKGROUND: Clinical features and outcomes of patients admitted to the intensive care unit due to acute abdomen are important to be investigated. AIMS: To evaluate the outcomes of critically ill subjects with acute abdomen according to etiology, comorbidity and severity. METHODS: Outcomes of 1,523 patients (878 women, mean age 66±18 years) consecutively admitted to a specialized gastrointestinal intensive care unit with different causes of acute abdomen from January 2012 to December 2019, were retrospectively evaluated according to etiology, comorbidity and severity. RESULTS: The most common causes of acute abdomen were obstructive and inflammatory, particularly large bowel obstruction (27%), small bowel obstruction (18%) and acute pancreatitis (17%). Overall mortality was 13%. Surgery was required in 34% of patients. Median length of stay in the hospital was 9 [1-101] days. On univariate analysis mortality was significantly associated with age, APACHE II, Charlson comorbidity index, requirement for surgery and malignancy (p<0.0001), but only APACHE II, Charlson comorbidity index and surgical interventional remained significant on multivariate analysis. CONCLUSIONS: Critically ill patients admitted to the intensive care unit with acute abdomen constitute a heterogeneous group of subjects with different prognosis. Mortality is more related to the severity of the disease, comorbidity and need for surgery than to the etiology of the acute abdomen.

Acute abdomen in intensive care unit: etiology, comorbidity and severity of 1,523 patients / Abdome agudo em unidade de terapia intensiva: etiologia, comorbidades e severidade de 1.523 pacientes

ABSTRACT BACKGROUND: Clinical features and outcomes of patients admitted to the intensive care unit due to acute abdomen are important to be investigated. AIMS: To evaluate the outcomes of critically ill subjects with acute abdomen according to etiology, comorbidity and severity. METHODS: Outcomes of 1,523 patients (878 women, mean age 66±18 years) consecutively admitted to a specialized gastrointestinal intensive care unit with different causes of acute abdomen from January 2012 to December 2019, were retrospectively evaluated according to etiology, comorbidity and severity. RESULTS: The most common causes of acute abdomen were obstructive and inflammatory, particularly large bowel obstruction (27%), small bowel obstruction (18%) and acute pancreatitis (17%). Overall mortality was 13%. Surgery was required in 34% of patients. Median length of stay in the hospital was 9 [1-101] days. On univariate analysis mortality was significantly associated with age, APACHE II, Charlson comorbidity index, requirement for surgery and malignancy (p<0.0001), but only APACHE II, Charlson comorbidity index and surgical interventional remained significant on multivariate analysis. CONCLUSIONS: Critically ill patients admitted to the intensive care unit with acute abdomen constitute a heterogeneous group of subjects with different prognosis. Mortality is more related to the severity of the disease, comorbidity and need for surgery than to the etiology of the acute abdomen.

RESUMO RACIONAL: As características clínicas e os desfechos dos pacientes internados na unidade de terapia intensiva devido ao abdômen agudo são importantes serem investigados. OBJETIVOS: Avaliar os desfechos de indivíduos gravemente doentes com abdômen agudo de acordo com etiologia, gravidade e comorbidade. MÉTODOS: Os desfechos de 1.523 pacientes (878 mulheres, média de idade 66±18 anos) que foram previamente admitidos em uma unidade de terapia intensiva especializada em doenças gastrointestinais, com diferentes causas de abdômen agudo entre janeiro de 2012 e dezembro de 2019, foram avaliados retrospectivamente segundo etiologia, comorbidade e gravidade. RESULTADOS: As causas mais comuns de abdômen agudo foram obstrutivas e inflamatórias, com destaque para obstrução em colon (27%), em intestino delgado (18%) e pancreatite aguda (17%). A mortalidade geral foi de 13%. A cirurgia foi necessária em 34%. A média de permanência no hospital foi de 9 [1-101] dias. Na análise univariada a mortalidade foi significativamente associada à idade, APACHE II, índice de comorbidade de Charlson, necessidade de abordagem cirúrgica e presença de malignidade (p<0,0001), mas apenas APACHE II, índice de comorbidade de Charlson e intervenção cirúrgica permaneceram significativos na análise multivariada. CONCLUSÕES: Pacientes internados na unidade de terapia intensiva com abdômen agudo constituem um grupo heterogêneo de indivíduos com prognóstico diferente. A mortalidade está mais relacionada com a gravidade da doença, comorbidade e necessidade de cirurgia do que com a etiologia do abdome agudo.

Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection.

Leukocyte biomarkers, including the neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte-(MLR), platelet-to-lymphocyte (PLR) ratios and systemic immune-inflammation index (SII) have been associated with severity and mortality of patients with COVID-19. The purpose of this study was to evaluate the association of baseline leukocyte biomarkers calculated in the emergency department (ED) with the disease severity and mortality. This was a retrospective cohort study that evaluated 1,535 (mean age 57+18 years) patients with SARS-CoV-2 infection in the ED of a single reference center. Outcomes were severity, defined as intensive care unit (ICU) admission requirement, and in-hospital mortality. All leukocyte biomarkers were calculated in the ED before the hospital admission. Their ability to predict the severity and mortality was measured using receiver operating characteristic (ROC) curves. Severity and mortality were observed in 30.9% and 12.6% of the patients, respectively, and were significantly correlated with NLR, MLR, PLR and SII, but only NLR was independently associated with both outcomes on multivariate analysis. Analysis of ROC curves revealed that NLR (0.78 for severity and 0.80 for mortality) and SII (0.77 for severity and 0.75 for mortality) had the best ability to predict mortality, when compared to other ratios. The highest AUC was observed for NLR, employing cut-off points of 5.4 for severity and 5.5 for mortality. Leukocyte biomarkers, particularly NLR, are capable of predicting the severity and mortality of patients with SARS-CoV-2 infection and could be important adjunct tools to identify patients in the ED that are more prone to develop adverse outcomes.

Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection

ABSTRACT Leukocyte biomarkers, including the neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte-(MLR), platelet-to-lymphocyte (PLR) ratios and systemic immune-inflammation index (SII) have been associated with severity and mortality of patients with COVID-19. The purpose of this study was to evaluate the association of baseline leukocyte biomarkers calculated in the emergency department (ED) with the disease severity and mortality. This was a retrospective cohort study that evaluated 1,535 (mean age 57+18 years) patients with SARS-CoV-2 infection in the ED of a single reference center. Outcomes were severity, defined as intensive care unit (ICU) admission requirement, and in-hospital mortality. All leukocyte biomarkers were calculated in the ED before the hospital admission. Their ability to predict the severity and mortality was measured using receiver operating characteristic (ROC) curves. Severity and mortality were observed in 30.9% and 12.6% of the patients, respectively, and were significantly correlated with NLR, MLR, PLR and SII, but only NLR was independently associated with both outcomes on multivariate analysis. Analysis of ROC curves revealed that NLR (0.78 for severity and 0.80 for mortality) and SII (0.77 for severity and 0.75 for mortality) had the best ability to predict mortality, when compared to other ratios. The highest AUC was observed for NLR, employing cut-off points of 5.4 for severity and 5.5 for mortality. Leukocyte biomarkers, particularly NLR, are capable of predicting the severity and mortality of patients with SARS-CoV-2 infection and could be important adjunct tools to identify patients in the ED that are more prone to develop adverse outcomes.