Stress-related Mucosal Disease in the Intensive Care Unit

2007 ◽  
Vol 18 (2) ◽  
pp. 119-128 ◽  
Author(s):  
Jefferson M. Sesler
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Physiological Stress ◽  
Gastric Ulcers ◽  
Routine Practice ◽  
Mucosal Disease ◽  
Increased Risk

Gastric ulcers have been known to develop in critically ill patients secondary to physiological stress since the 19th century. It is only relatively recently that stress ulcer prophylaxis has become an established routine practice in the intensive care unit. Numerous terms have been used to describe stress ulcers, but stress-related mucosal disease (SRMD) is commonly used. Significant morbidity and mortality in critically ill patients is caused by SRMD and related bleedings, but the incidence depends on the definition of bleeding. Pathophysiology of SRMD is multifactorial and involves a complex set of interactions that causes a breakdown of mucosal proactive defenses, leading to ulceration. Critically ill patients are at an increased risk for developing SRMD and subsequent bleeding secondary to several risk factors. To minimize stress-related mucosal bleeding, several regimens have been used. This article presents an update on the incidence, pathophysiology, risk factors, and prophylaxis of SRMD.

scholarly journals Risk Factors For Kidney Damage In COVID-19 Patients Admitted To The Intensive Care Unit

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Diana K. Sarkisian ◽  
Natalia V. Chebotareva ◽  
Valerie McDonnell ◽  
Armen V. Oganesyan ◽  
Tatyana N. Krasnova ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Kidney Damage ◽  
Elderly Age ◽  
Total Blood ◽  
Independent Risk Factors

Background — Acute kidney injury (AKI) reaches 29% in the intensive care unit (ICU). Our study aimed to determine the prevalence, features, and the main AKI factors in critically ill patients with coronavirus disease 2019 (COVID-19). Material and Methods — The study included 37 patients with COVID-19. We analyzed the total blood count test results, biochemical profile panel, coagulation tests, and urine samples. We finally estimated the markers of kidney damage and mortality. Result — All patients in ICU had proteinuria, and 80.5% of patients had hematuria. AKI was observed in 45.9% of patients. Independent risk factors were age more than 60 years, increased C-reactive protein (CRP) level, and decreased platelet count. Conclusion — Kidney damage was observed in most critically ill patients with COVID-19. The independent risk factors for AKI in critically ill patients were elderly age, a cytokine response with a high CRP level.

The Long and Winding Road to Personalized Glycemic Control in the Intensive Care Unit

2019 ◽  
Vol 40 (05) ◽  
pp. 571-579
Author(s):  
Mayanka Tickoo
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Glycemic Control ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Physiological Stress ◽  
Close Monitoring ◽  
Physiological Stress Response ◽  
Downstream Effects ◽  
Personalized Approach

AbstractIn the critically ill adult, dysglycemia is a marker of disease severity and is associated with worse clinical outcomes. Close monitoring of glucose and use of insulin in critically ill patients have been done for more than 2 decades, but the appropriate target glycemic range in critically ill patients remains controversial. Physiological stress response, levels of inflammatory cytokines, nutritional intake, and level of mobility affect glycemic control, and a more personalized approach to patients with dysglycemia is warranted in critically ill intensive care unit (ICU) patients. We discuss the pathophysiology and downstream effects of altered glycemic response in critical illness, management of glycemic control in the ICU, and future strategies toward personalization of critical care glycemic management.

scholarly journals Association between Malnutrition and Hospital Mortality and Duration of Intensive Care Unit Admission in the Critically Ill: A Prospective Cohort Study

2017 ◽  
Author(s):  
Charles Chin Han Lew ◽  
Gabriel Jun Yung Wong ◽  
Ka Po Cheung ◽  
Ai Ping Chua ◽  
Mary Foong Fong Chong ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cohort Study ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Prospective Cohort Study ◽  
Critically Ill Patients ◽  
Prospective Cohort ◽  
Unit Length ◽  
Increased Risk

There is limited evidence for the association between malnutrition and hospital mortality as well as Intensive Care Unit length-of-stay (ICU-LOS) in critically ill patients. We aimed to examine the aforementioned associations by conducting a prospective cohort study in an ICU of a Singapore tertiary hospital. Between August 2015 and October 2016, all adult patients with ≥24 h of ICU-LOS were included. The 7-point Subjective Global Assessment (7-point SGA) was used to determine patients’ nutritional status within 48 hours of ICU admission. Multivariate analyses were conducted in two ways: 1) presence versus absence of malnutrition, and 2) dose-dependent association for each 1-point decrease in the 7-point SGA. There were 439 patients of which 28.0% were malnourished, and 29.6% died before hospital discharge. Malnutrition was associated with an increased risk of hospital mortality [adjusted-RR 1.39 (95%CI: 1.10–1.76)], and this risk increased with a greater degree of malnutrition [adjusted-RR 1.09 (95%CI: 1.01–1.18) for each 1-point decrease in the 7-point SGA]. No significant association was found between malnutrition and ICU-LOS. Conclusion: There was a clear association between malnutrition and higher hospital mortality in critically ill patients. The association between malnutrition and ICU-LOS could not be replicated and hence requires further evaluation.

scholarly journals Sarcopenia as a predictor of mortality among the critically ill in an intensive care unit: a systematic review and meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiao-Ming Zhang ◽  
Denghong Chen ◽  
Xiao-Hua Xie ◽  
Jun-E Zhang ◽  
Yingchun Zeng ◽  
...  
Keyword(s):  
Systematic Review ◽  
Skeletal Muscle ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Meta Analysis ◽  
Muscle Area ◽  
Risk Of Mortality ◽  
Increased Risk

Abstract Background The evidence of sarcopenia based on CT-scan as an important prognostic factor for critically ill patients has not seen consistent results. To determine the impact of sarcopenia on mortality in critically ill patients, we performed a systematic review and meta-analysis to quantify the association between sarcopenia and mortality. Methods We searched studies from the literature of PubMed, EMBASE, and Cochrane Library from database inception to June 15, 2020. All observational studies exploring the relationship between sarcopenia based on CT-scan and mortality in critically ill patients were included. The search and data analysis were independently conducted by two investigators. A meta-analysis was performed using STATA Version 14.0 software using a fixed-effects model. Results Fourteen studies with a total of 3,249 participants were included in our meta-analysis. The pooled prevalence of sarcopenia among critically ill patients was 41 % (95 % CI:33-49 %). Critically ill patients with sarcopenia in the intensive care unit have an increased risk of mortality compared to critically ill patients without sarcopenia (OR = 2.28, 95 %CI: 1.83–2.83; P < 0.001; I2 = 22.1 %). In addition, a subgroup analysis found that sarcopenia was associated with high risk of mortality when defining sarcopenia by total psoas muscle area (TPA, OR = 3.12,95 %CI:1.71–5.70), skeletal muscle index (SMI, OR = 2.16,95 %CI:1.60–2.90), skeletal muscle area (SMA, OR = 2.29, 95 %CI:1.37–3.83), and masseter muscle(OR = 2.08, 95 %CI:1.15–3.77). Furthermore, critically ill patients with sarcopenia have an increased risk of mortality regardless of mortality types such as in-hospital mortality (OR = 1.99, 95 %CI:1.45–2.73), 30-day mortality(OR = 2.08, 95 %CI:1.36–3.19), and 1-year mortality (OR = 3.23, 95 %CI:2.08 -5.00). Conclusions Sarcopenia increases the risk of mortality in critical illness. Identifying the risk factors of sarcopenia should be routine in clinical assessments and offering corresponding interventions may help medical staff achieve good patient outcomes in ICU departments.

Intensive Care Unit Delirium

2013 ◽  
Vol 27 (2) ◽  
pp. 195-207 ◽  
Author(s):  
Julie Kalabalik ◽  
Luigi Brunetti ◽  
Radwa El-Srougy
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Early Mobilization ◽  
Patient Characteristics ◽  
Screening Tools ◽  
Clinical Complications ◽  
Icu Delirium

Purpose: The recent literature regarding intensive care unit (ICU) delirium and updated clinical practice guidelines are reviewed. Summary: Recent studies show that ICU delirium in critically ill patients is an independent predictor of higher mortality, longer ICU and hospital stay, and is associated with multiple clinical complications. Delirium has been reported to occur in greater than 80% of hospitalized critically ill patients, yet it remains an underdiagnosed condition. Several subtypes of delirium have been identified including hypoactive, hyperactive, and mixed presentation. Although the exact mechanism is unknown, several factors are thought to interact to cause delirium. Multiple risk factors related to medications, acute illness, the environment, and patient characteristics may contribute to the development of delirium. Practical bedside screening tools have been validated and are recommended to identify ICU patients with delirium. Nonpharmacologic interventions such as early mobilization have resulted in better functional outcomes, decreased incidence and duration of delirium, and more ventilator-free days. Data supporting pharmacologic treatments are limited. Conclusion: Clinicians should become familiar with tools to identify delirium in order to initiate treatment and remove mitigating factors early in hospitalization to prevent delirium. Pharmacists are in a unique position to reduce delirium through minimization of medication-related risk factors and development of protocols.

scholarly journals Pediatric Index of Mortality 3 score as a predictor for the outcomes of critically ill patients

2020 ◽  
Vol 60 (6) ◽  
pp. 328-33
Author(s):  
Gusti Ayu Nyoman Yulia Sitta Dewi ◽  
Dyah Kanya Wati ◽  
Made Gede Dwi Lingga Utama ◽  
Ketut Suarta Suarta ◽  
I Wayan Darma Artana ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Clinical Decision Making ◽  
Significant Risk ◽  
Bivariate Analysis ◽  
Good Ability ◽  
Increased Risk ◽  
Pediatric Index Of Mortality

Background The ability to predict mortality in critically ill patients is important for assessing patient prognosis, evaluating therapy, and assessing intensive care unit quality. The Pediatric Index of Mortality (PIM) 3 is a scoring system to predict outcomes in order to assist clinical decision-making. Objective To assess the ability of PIM 3 to predict outcomes of critically ill PICU patients.Methods This prospective cohort study included 150 children aged 1 month to 18 years who were admitted to the pediatric intensive care unit (PICU), Sanglah Hospital, Denpasar, Bali. Subjects were grouped into two based on ROC curve PIM score ≥48 and <48. The PIM 3 score was consisted of 10 variables, with a re-diagnosis classification of the PIM 2 score. Bivariate analysis was conducted to both groups to find the distribution of mortality in both groups, followed by homogenity test on variables gender, age, nutritional status, lenght of stay and mechanical ventilation. Variables which made the cut on bivariate test were included in multivariate analysis.Results The optimal PIM 3 score limit in predicting mortality was ≥48, with area under the curve (AUC) 76% (95%CI 0.69 to 0.85). Multivariate analysis revealed a 2.48 times increased risk to mortality in patients with PIM 3 score ≥48 (95%CI 1.6 to 3.7). In addition, PICU length of stay ≤7 days was a significant risk factor for mortality. Conclusion The PIM 3 has a good ability to predict the outcome of critically ill PICU patients. Critically ill patients with PIM 3 score ≥48 have a higher risk of mortality compared to those with PIM 3 < 48.

scholarly journals Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Bin Liu ◽  
Kun Xiao ◽  
Peng Yan ◽  
Tianyu Sun ◽  
Jiang Wang ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critical Illness ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Cox Regression ◽  
Independent Predictor ◽  
Laboratory Data ◽  
Cox Regression Analysis ◽  
Increased Risk

Background. Critical illness in the intensive care unit (ICU) has been a global health priority. Systemic nutritional status has turned out to be related to the prognosis of critically ill patients. The albumin-globulin ratio (AGR) has been reported to be a novel prognostic factor of many diseases. This study is aimed at investigating whether the AGR could predict the mortality risk in critically ill patients. Methods. We enrolled 582 adult patients admitted to the respiratory intensive care unit (RICU). We collected the clinical and laboratory data. X-tile software was used to determine the optimal cut-off values for the AGR. Patients were divided into three groups according to the AGR (low AGR group with AGR < 0.8 , medium AGR group with AGR ranging from 0.8 to 1.1, and high AGR group with AGR > 1.1 ). Kaplan-Meier analysis was used for survival analysis. A Cox proportional hazard model was applied to the univariate and multivariate analyses for the potential predictors associated with survival. Results. Our present study showed that the AGR was related to the 28-day survival of critically ill patients in the RICU. The rate of pneumonia in the low AGR group was significantly higher than that in the other groups. Patients with a lower AGR present an increased risk of 28-day mortality compared to patients with a higher AGR. Cox regression analysis showed that the AGR might be an independent predictor of prognosis to 28-day survival in critically ill patients in the RICU. Medium and high AGR values remained independently associated with better 28-day survival than low AGR values (HR: 0.484 (0.263-0.892) ( p = 0.02 ); HR: 0.332 (0.166-0.665) ( p = 0.002 )). Conclusion. The AGR might be an independent predictor of prognosis in critically ill patients.

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