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Introduction: Frailty describes a state or syndrome of reduced physical, physiologic, and cognitive reserve that increases vulnerability to acute illness. To study the prevalence of frailty in critically ill patients and find its association with resource utilization and short-term intensive care unit (ICU) outcomes. Material and methods: This was a prospective observational study. All adult patients ≥50 years admitted to the ICU were included and frailty was assessed by the clinical frailty score (CFS). Data were collected on demography, coexisting illness, CFS, Acute Physiology and Chronic Health Evaluation II (APACHE-II), and Sequential Organ Failure Assessment Score (SOFA) scores. Patients were followed for 30 days. Outcome data were collected on organ supports provided, duration of ICU and hospital length of stay (LOS), and ICU and 30-day mortality. Results: 137 patients were enrolled in the study. The prevalence of frailty was 38.6%. Frail patients were older and had a more comorbid illness. APACHE-II and SOFA scores were 22.1 ± 7.0 and 7.2 ± 3.29, significantly higher in frail patients, respectively. There was a trend towards higher requirement for organ supports in frail patients. Median ICU and hospital LOS were 8 vs 6 and 20 vs 12 (frail vs nonfrail) days, respectively (p < 0.05). Intensive care unit mortality in frail and nonfrail patients was 28.3% and 23.8%, respectively (p = 0.56). Thirty-day mortality in frail patients was 49%, significantly higher compared with nonfrail patients (28.5%). Conclusion: The prevalence of frailty in ICU patients was high. Frail patients were quite ill on ICU admission, and they had a prolonged ICU and hospital LOS. Increasing frailty score was associated with higher mortality at 30 days. How to cite this article: Kalaiselvan MS, Yadav A, Kaur R, Menon A, Wasnik S. Prevalence of Frailty in ICU and its Impact on Patients' Outcomes. Indian J Crit Care Med 2023;27(5):335-341.
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BACKGROUND: Critically ill patients are under stress, leading to a catabolic response and higher energy expenditure. The associated malnutrition leads to adverse outcomes. AIMS AND OBJECTIVES: This study aims to assess the nutritional adequacy (>80% of prescribed calories) in mechanically ventilated (MV) patients and its effects on patients' outcomes. It also aims to identify the causes of deviation from the nutrition prescription. MATERIALS AND METHODS: This is a prospective observational study involving all adult critically ill patients requiring MV for >48 hours. Patients were prescribed enteral nutrition (EN) targeted to achieve 25 kcal/kg (IBW) of energy and 1.2 g/kg of proteins daily. Standard polymeric formula feeds were initiated as continuous infusion as per the feeding protocol in the intensive care unit (ICU). Data were collected on demography, body mass index (BMI), indication for ICU admission, admission category, and admission APACHE II and SOFA scores, and nutritional risk was captured with mNUTRIC score. Nutritional data on type of feed initiated, amount of calories prescribed/achieved, time taken to initiate feeds, reasons for not starting/delay in the initiation of feeds, time taken to achieve the prescribed calories, and reasons for interruptions of feeds were collected. Primary outcome analyzed was adequacy of nutrition (>80% prescribed dose), and secondary outcomes analyzed were ventilator days and ICU LOS. RESULTS: A total of 622 MV patients were analyzed. 36.1% of patients were at nutritional risk (mNUTRIC χ5). 89% of patients received EN, and the time taken to start EN in these patients was 10 hours (6-20) (median [IQR]). Only 29.6% of patients achieved nutritional adequacy. Time taken for this was 36 hours (median). On average, patients on MV received 63% (1025 kcal) and 57% (41 g) of their prescribed calories and proteins, respectively. The most common reasons for withholding feeds were airway-related procedures (68.2%) followed by GI intolerance (15%). Frequent interruptions of EN, patients on >1 vasopressors, and surgical admissions were reasons for nutritional inadequacy. Nutritional adequacy had no impact on clinical outcomes. CONCLUSION: Despite following guidelines and feeding protocols, there exists a wide gap between prescribed nutrition and what is actually delivered in MV patients. HOW TO CITE THIS ARTICLE: Kalaiselvan MS, Arunkumar AS, Renuka MK, Sivakumar RL. Nutritional Adequacy in Mechanically Ventilated Patient: Are We Doing Enough? Indian J Crit Care Med 2021;25(2):166-171.
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BACKGROUND AND AIMS: Outcome prediction of critically ill patients is an integral part of care in an Intensive Care Unit (ICU). Acute Physiology and Chronic Health Evaluation (APACHE) scoring systems provide an objective means of mortality prediction in ICU. The aim of this study was to compare the performance of APACHE II and IV scoring system in our ICU. MATERIAL AND METHODS: All patients admitted to the ICU between January and June 2014 and who met the inclusion criteria were evaluated. APACHE II and IV score were calculated during the first 24 h of ICU stay based on the worst values. All patients were followed up till discharge from the hospital or death. Statistical analysis was performed using SPSS version 19.0. Discrimination of the model for mortality was assessed using receiver operating characteristic curve and calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test. RESULTS: Of a total 1268, 1003 patients were included in this study. The mean (±standard deviation) admission APACHE II score was 19.4 ± 8.9, and APACHE IV score was 59.1 ± 27.2. The APACHE scores were significantly higher among nonsurvivors than survivors (P < 0.001). The overall crude hospital mortality rate was 17.6%. APACHE IV had better discriminative power area under the ROC curve ([AUC] -0.82) than APACHE II (AUC-0.75). Both APACHE II and APACHE IV had poor calibration. CONCLUSIONS: APACHE IV showed better discrimination compared to APACHE II in our ICU population. Both APACHE II and APACHE IV had poor calibration. However, APACHE II calibrated better compared to APACHE IV.
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BACKGROUND AND AIMS: Hanging is a frequently used method to attempt suicide in India. There is a lack of data in the Indian population regarding clinical features and outcomes of suicidal hanging. The purpose of this study was to evaluate the factors affecting mortality and morbidity in patients admitted with suicidal hanging to the Intensive Care Unit (ICU). METHODS: A 6-year retrospective study of adult patients admitted to the ICU with suicidal hanging was analysed for demographics, mode of hanging, lead time to emergency room (ER) admission, clinical presentation, Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA) scores, admission Glasgow coma scale (GCS) and neurological outcomes. The primary outcome was in-hospital mortality rate. Secondary outcomes were hospital length of stay (LOS), ICU-LOS, time for neurological recovery, organ support and duration of mechanical ventilation. Statistical analysis was performed using the Student's t-test for continuous variables and Chi-square test for categorical variables. RESULTS: We analysed data of 106 patients. The median age was 27 years [Interquartile Range (IQR) (22-34)]. The median lead time to ER admission was 1 h [IQR (0.5-1.4)] with median ICU stay of 3 days [IQR (2-4)]. Vasopressors were administered to 27.4% patients. GCS was ≤7 in 65% patients, and 84.9% patients received mechanical ventilation. Mortality rate was 10.3%. Survivors recovered with normal organ function. CONCLUSION: Suicidal hanging is associated with significant mortality. Admission GCS, APACHE II and 48 h SOFA score were predictors of poor outcome.
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AIMS: The aim of this study was to study the clinical features and outcomes of patients with posterior reversible encephalopathy syndrome (PRES) admitted to the Intensive Care Unit (ICU). SUBJECTS AND METHODS: All adult patients admitted to our ICU with acute onset neurologic symptoms with focal vasogenic edema on magnetic resonance imaging (MRI) were included in the study. Data were collected on demography, coexisting illness, admission severity of illness, neurological symptoms, blood pressure, treatment initiated, and MRI findings. Outcome data collected included mortality, ICU average length of stay (ALOS), number of ventilator days, and neurological disability at discharge assessed by modified Rankin scale (MRS). RESULTS: Fourteen patients were admitted with PRES. Thirteen patients were female, and their mean age was 31.5 ± 8.3 years. Etiology of PRES included eclampsia (64.2%), lupus nephritis (21.4%), CKD (7.1%), and hypertension (n = 1 [7.1%]). The most common presenting symptom was seizure (92.8%), followed by visual disturbance (42.8%), headache (42.8%), encephalopathy (14.2%), and status epilepticus (14.2%). The Glasgow coma scale on admission was 12.3 ± 2.9. High blood pressure was seen in 12 patients 85.7%; their mean systolic and diastolic pressures were 173 ± 10.2 and 110 ± 8.6 mmHg, respectively. MRI showed that parieto-occipital region was most commonly involved (92.8%), followed by frontal lobe (42.8%). ICU ALOS was 4.35 ± 2.4 days and mean ventilator days was 1.7 ± 2.0 days. One patient (1/14 [7.4%]) died of multiorgan failure and 13 patients were discharged with no residual neurological deficit (MRS, 0). CONCLUSIONS: PRES is a potentially reversible disorder with prompt recognition and control of blood pressure.
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CONTEXT: Nutritional risk assessment must be done on all critically ill patients. Malnutrition in intensive care unit (ICU) patients is associated with adverse clinical outcomes. Traditional scoring systems cannot be used for screening in mechanically ventilated (MV) patients because these patients are unable to provide information on their history of food intake and weight loss. The Nutrition Risk in Critically ill (NUTRIC) score is the appropriate nutritional assessment tool in MV patients. AIMS: This prospective observational study was conducted to identify the nutritional risk in MV patients using modified NUTRIC (mNUTRIC) score (with the exception of interleukin-6). PATIENTS AND METHODS: All adult patients admitted to the ICU and required MV for more than 48 h were included in the study. Data were collected on variables required to calculate mNUTRIC score. Patients with mNUTRIC score ≥5 are considered at nutritional risk. Outcome data were collected on ICU length of stay, ventilator-free days, and mortality. RESULTS: A total of 678 MV patients fit into the inclusion criteria. Majority of the patients were male (67%). Mean age of the patients was 55 years. About 288 (42.5%) patients were at high nutritional risk (mNUTRIC score ≥5). Patients with high mNUTRIC score ≥5 had longer mean ICU average length of stay of 9.0 (±4.2) versus 7.8 (±5.8) mean (± standard deviation) days (P < 0.01) and higher mortality 41.4% versus 26.1% (P < 0.0) compared to patients with low NUTRIC score (≤4). High mNUTRIC score (≥5) predicted mortality with area under the curve of 0.582 (95% confidence interval 0.535-0.628). CONCLUSIONS: Nearly 42.5% of MV patients admitted to ICU were at nutritional risk, and high mNUTRIC score was associated with increased ICU length of stay and higher mortality.
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CONTEXT: Surgical procedures carry significant morbidity and mortality depending on the type of surgery and patients. There is a dearth of evidence from India on the outcome of surgical patients admitted to an Intensive Care Unit (ICU). AIMS: We aimed to describe the incidence and risk factors of postoperative complications and mortality in noncardiac surgical patients admitted to the ICU. SETTINGS AND DESIGN: This was a prospective observational study on all perioperative patients admitted to a multidisciplinary ICU for 18 months. SUBJECTS AND METHODS: Data on demography, admission Acute Physiology and Chronic Health Evaluation II (APACHE-II), Sequential Organ Failure Assessment (SOFA) scores, perioperative course, type and duration of surgery, reason for ICU admission, ICU interventions, and perioperative complications were recorded. The primary outcomes analyzed were perioperative complications and mortality. RESULTS: The study included 762 patients with a mean age of (mean ± standard deviation [SD]) 50.5 ± 18 years and a male (58.4%) preponderance. The mean (±SD) admission APACHE-II and SOFA scores were 15 (±5.0) and 4.26 (±2.6), respectively. The most common reason for ICU admission was elective mechanical ventilation 50%, followed by prolonged surgery 26.2% and hemodynamic instability 21.2%. Most (51.1%) patients belonged to American Society of Anaesthesiologists physical Status III or IV and Lee's surgical risk Category I and II (66.8%). The most common surgical procedures performed were gastro-intestinal (28.5%) followed by interventional Neuro-radiology (14.0%) and orthopedic (13.9%). Overall perioperative complications were observed in 51.4% (n = 392). Common complications observed were hemodynamic instability 24%, hypothermia 17.2%, sepsis 17.3%, poor glycemic control 11.2%, perioperative myocardial infarction 7.1%, cardiac arrest 0.13%, and acute kidney injury (AKI) 10.1%. The overall hospital mortality was 7.9%. Multivariate logistic regression analysis showed that admission APACHE-II score, sepsis, AKI, and ICU length of stay were independent predictors for mortality. CONCLUSIONS: High risk perioperative patients after noncardiac surgery have significant mortality and morbidity.
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Introduction: Sepsis is the leading cause of intensive care unit (ICU) admissions and is associated with high mortality. Objectives: To identify the incidence, risk factors and outcome of patients with severe sepsis and septic shock. Methods: A prospective observational study was done in a multidisciplinary ICU over a period of 18 months. We included all adult patients admitted to ICU with features of severe sepsis and septic shock as per SCCM/ACCP guidelines. Data related to demography, co-existing illnesses, parameters to assess Acute Physiology and Chronic Health Evaluation (APACHE) II and Sequential Organ Failure Assessment (SOFA) scores, other relevant laboratory data, source of infection, organ failures and supportive measures given were recorded. Primary outcome data on mortality was collected and secondary outcome data on ventilator days, ICU length of stay (ALOS) and ventilator free days were recorded. Results: A total of 1162 patients were screened and 356 patients had severe sepsis. Incidence of severe sepsis was 30.6% and mortality rate was 51.6%. APACHEII (23.37 ± 9.47) and SOFA (7.58 ± 4.05) scores at admission were high. Most common source of infection was from the respiratory tract (37.2%) followed by urinary tract (10.3%) and intra-abdominal (9.5%) infections. About 63% of patients required ventilator support, 25.5% of patients required vasopressor support despite adequate fluid resuscitation and one third of patients required renal replacement therapy (35.7%). Haematocrit, total leucocyte count, serum bilirubin and SOFA scores were significantly higher among non-survivors. Conclusions: Incidence of severe sepsis was high and was associated with a poor patient outcome in an ICU in India.
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BACKGROUND AND AIMS: Heat-related illness (HRI) due to high ambient temperatures is a common feature during the Indian summer. HRI often results in Intensive Care Unit (ICU) admissions and are associated with significant morbidity and mortality. However, published report on the effects of HRI among the Indian population is lacking. This study was undertaken to identify the profile of patients admitted to ICU with clinical features of HRI and study their clinical outcomes. METHODS: This was a retrospective case series of patients admitted with features of HRI during the summer of 2012 in our multidisciplinary ICU. Data on demographics, co-morbid illness, admission severity of illness (Acute Physiology and Chronic Health Evaluation II [APACHE II]), organ failure scores (Sequential Organ Failure Assessment [SOFA]) and neuroimaging studies were collected. Outcome data studied included mortality, ICU length of stay (LOS), ventilator days and hospital LOS. Statistical analysis was performed using Student's t-test, Chi-square test and multivariate analysis. RESULTS: Twenty-six patients met the diagnostic criteria for HRI. Fifteen were males. The mean age was 53.12 ± 18.6 years. Mean APACHE II score was 19.6 ± 7.7 and mean SOFA score was 7.5 ± 2.6. The common presenting symptoms were fever with neurological impairment (100%) and gastrointestinal symptoms (30%). Major organ systems involvement include neurological (100%), renal (57%), hepatic (34%) and coagulation abnormalities (26%). Most common metabolic abnormality noted was hyponatraemia (73%). Magnetic resonance imaging findings suggestive of heat stroke were seen in 5 of 26 patients. Mortality rate was 34%. 8 of 17 survivors had residual neurological impairment. CONCLUSION: HRI carries a high mortality and significant neurological morbidity.