Postoperative nutrition practices in abdominal surgery patients in a tertiary referral hospital Intensive Care Unit: A prospective analysis

Background:Benefit of early enteral feeds in surgical patients admitted to Intensive Care Units (ICUs) has been emphasized by several studies. Apprehensions about anastomotic leaks in gastrointestinal surgical patients prevent initiation of early enteral nutrition (EN). The impact of these practices on outcome in Indian scenario is less studied.Aims:This study compares the impact of early EN (within 48 h after surgery) with late EN (48 h postsurgery) on outcomes in abdominal surgical ICU patients.Methods:Only patients directly admitted to ICU after abdominal surgery were included in this study. ICU stay>3 days was considered as prolonged; with average ICU length of stay (LOS) for this ICU being 3 days. The primary outcome was in-patient mortality. ICU LOS, hospital LOS, infection rates, and ventilator days were secondary outcome measures. Acute Physiology and Chronic Health Evaluation II scores were calculated. SPSS and Microsoft Excel were used for analysis.Results:Of 91 ICU patients included, 58 received early EN and 33 late EN. Hospital LOS and infection rates were less in early EN group. Use of parenteral nutrition (odds ratio [OR] 5.25, 95% confidence interval (CI); P = 0.003) and number of nil-per-oral days (OR 8.25, 95% CI; P ≤ 0.001) were other predictors of prolonged LOS.Conclusions:Early EN in postabdominal surgery ICU patients was associated with reduced hospital LOS and infection rates. ICU LOS, duration of mechanical ventilation and mortality rates did not vary.     

Prevalence and risk factors of pneumothorax among patients admitted to a Pediatric Intensive Care Unit

Objective:Pneumothorax should be considered a medical emergency and requires a high index of suspicion and prompt recognition and intervention.Aims:The objective of the study was to evaluate cases developing pneumothorax following admission to a Pediatric Intensive Care Unit (PICU) over a 5-year period.Results:Patients with pneumothorax had higher mortality rate (P < 0.001), longer length of stay (P < 0.001), higher need for mechanical ventilation (MV) (P < 0.001), and were of younger age (P < 0.001), lower body weight (P < 0.001), higher pediatric index of mortality 2 score on admission (P < 0.001), higher pediatric logistic organ dysfunction score (P < 0.001), compared to their counterpart. Iatrogenic pneumothorax (IP) represented 95% of episodes of pneumothorax. The most common causes of IP were barotrauma secondary to MV, central vein catheter insertion, and other (69.6%, 13.2%, and 17.2%, respectively). Compared to ventilated patients without pneumothorax, ventilated patients who developed pneumothorax had a longer duration of MV care (P < 0.001) and higher nonconventional and high-frequency oscillatory ventilation settings (P < 0.001).Conclusions:This study demonstrated that pneumothorax is common in Alexandria University PICU patients, especially in those on MV and emphasized the importance of the strict application of protective lung strategies among ventilated patients to minimize the risk of pneumothorax.Key words: Barotrauma, high-frequency oscillatory ventilation, mechanical ventilation, pediatrics, pneumothorax     

Impact of dialysis practice patterns on outcomes in acute kidney injury in Intensive Care Unit

Aim:Recent advances in dialysis therapy have made an impact on the clinical practice of renal replacement therapy (RRT) in acute kidney injury (AKI) in Intensive Care Unit (ICU). We studied the impact of RRT practice changes on outcomes in AKI in ICU over a period of 8 years.Results:The mean age was 53.8 ± 16.1 years and 72.6% were male. Introduction of PIRRT resulted in 37% reduction in utilization of CRRT during period-2 (from 85.5% to 53.7%). The overall mortality was high (68%) but was significantly reduced during period-2 compared to period-1 (59% vs. 79.7%, P = 0.006). Metabolic acidosis but not the mode of RRT, was the significant factor which influenced mortality.Conclusions:Adaption of PIRRT resulted in 37% reduction of utilization of CRRT. The mortality rate was significantly reduced during the period of adaption of PIRRT, possibly due to early initiation of RRT in the latter period for indications such as anuria and metabolic acidosis.     

Measurement of muscle strength with handheld dynamometer in Intensive Care Unit

Background:Intensive Care Unit (ICU) acquired weakness is a common complication in critically ill patients affecting their prognosis. The handheld dynamometry is an objective method in detecting minimum muscle strength change, which has an impact on the physical function of ICU survivors. The minimal change in the force can be measured in units of weight such as pounds or kilograms.Methodology:Three upper and three lower limb muscles force measured with handheld dynamometer during ICU stay. Data were analyzed using repeated measures ANOVA to detect changes in force generated by muscle on alternate days of ICU stay.Results:There was a reduction in peripheral muscle strength from day 3 to day 5 as well from day 5 to day 7 of ICU stay (P < 0.01). The average reduction in peripheral muscle strength was 11.8% during ICU stay.Conclusion:This study showed a progressive reduction in peripheral muscle strength as measured by handheld dynamometer during early period of ICU stay.     

Prognostic Usefulness of Eosinopenia in the Pediatric Intensive Care Unit

Eosinopenia, a biomarker for infection, has recently been shown to be a predictor of adult mortality in the intensive care unit (ICU). Our study assessed the usefulness of eosinopenia as a mortality and an infection biomarker in the pediatric ICU (PICU). We compared the PICU mortality scores, eosinophil count and percentage at ICU admission between children who survived and those who did not survive and between children with infection and those without infection. A total of 150 patients were evaluated. The initial eosinophil count and percentage were significantly lower in the group that did not survive when compared to those that did survive (P < 0.001; P < 0.001). However, there was no significant difference in the eosinophil count and percentage seen in patients with and without infection. Eosinopenia, defined as an eosinophil count < 15 cells/µL and an eosinophil percentage < 0.25%, (hazard ratio [HR]: 2.96; P = 0.008) along with a Pediatric Index of Mortality (PIM) 2 (HR: 1.03; P = 0.004) were both determined to be independent predictors of mortality in the PICU. The presence of eosinopenia at the ICU admission can be a useful biomarker for mortality in children, but is not useful as a biomarker for infection.     

Oral care practices for patients in Intensive Care Units: A pilot survey

Objective:To assess the level of knowledge and difficulties concerning hospitalized patients regarding preventive oral health measures among professionals working in Intensive Care Units (ICUs).Results:Most participants were nursing professionals (80.3%) working 12-h shifts in the ICU (70.4%); about 87.3% and 66.2% reported having knowledge about coated tongue and nosocomial pneumonia, respectively (P < 0.05). Most reported using spatulas, gauze, and toothbrushes (49.3%) or only toothbrushes (28.2%) with 0.12% chlorhexidine (49.3%) to sanitize the oral cavity of ICU patients (P < 0.01). Most professionals felt that adequate time was available to provide oral care to ICU patients and that oral care was a priority for mechanically ventilated patients (80.3% and 83.1%, respectively, P < 0.05). However, most professionals (56.4%) reported feeling that the oral cavity was difficult to clean (P < 0.05).Conclusion:The survey results suggest that additional education is necessary to increase awareness among ICU professionals of the association between dental plaque and systemic conditions of patients, to standardize oral care protocols, and to promote the oral health of patients in ICUs.     

Complications and benefits of intrahospital transport of adult Intensive Care Unit patients

Background:The transport of critically ill patients for procedures or tests outside the Intensive Care Unit (ICU) is potentially hazardous; hence, the transport process must be organized and efficient. Plenty of data is available on pre- and inter-hospital transport of patients; the data on intrahospital transport of patients are limited. We audited the complications and benefits of intrahospital transport of critically ill patients in our tertiary care center over 6 months.Results:Among the 120 adult patients, 5 (4.1%) required endotracheal intubation, 5 (4.1%) required intercostal drain placement, and 20 (16.7%) required cardiopulmonary resuscitation (CPR). Dislodgement of central venous catheter occurred in 2 (1.6%) patients, drain came out in 3 (2.5%) patients, orogastric tube came out in 1 (0.8%) patient, 2 (1.6%) patients self-extubated, and in one patient, tracheostomy tube was dislodged. The adverse events were more in patients who spent more than 60 min outside the ICU, particularly requirement of CPR (18 [25%] vs. 2 [4.2%], ≤60 min vs. >60 min, respectively) with P < 0.05. Transport led to change in therapy in 32 (26.7%) patients.Conclusion:Transport in critically ill cancer patients is more hazardous and needs adequate pretransport preparations. Transport in spite being hazardous may lead to a beneficial change in therapy in a significant number of patients.Key words: Complications, critically ill, intrahospital transport     

Association between a prolonged corrected QT interval and outcomes in patients in a medical Intensive Care Unit

Introduction:

Patients admitted into a medical Intensive Care Unit (ICU) have varying illnesses and risk factors. An electrocardiogram (ECG) is a useful tool to assess the cardiac status. The aim of the study was to determine the prevalence of QT prolongation of the ECG in patients admitted to a medical ICU in a tertiary hospital, to assess outcomes in terms of mortality, cardiovascular events, and duration of ICU stay.

Materials and Methods:

Prospective observational study, 6 months duration, assessing the prevalence of prolonged corrected QT interval (QTc) at admission into a medical ICU. A QTc calculated by Bazett''s formula, of >440 ms for males and >460 ms for females was considered prolonged. Details of illness, clinical and lab parameters were monitored.

Results:

The total number of patients screened was 182. There was a high prevalence of prolonged QTc (30%) on admission to the ICU. This reduced to 19% on day 3 (P = 0.011). In patients with a prolonged QTc the odds ratio of adverse outcome from ICU was 3.17 (confidence interval [CI]: 1.52–6.63) (P = 0.001) and of adverse outcome for hospital stay was 2.27 (CI: 1.11–4.66) (P = 0.014). In the study, 35% of all patients received drugs with QT prolonging action. Of patients with a prolonged QTc at admission 18 (35%) received a QT prolonging drug.

Conclusions:

We found that prolonged QTc is common (30%) in our medical ICU at admission and a large proportion (35%) received drugs capable of prolonging QT interval. These patients with QTc prolongation have a higher odds ratio for adverse outcomes.     

Clinical Demographics and Outcomes in Mechanically Ventilated Patients in Korean Intensive Care Units

Knowledge of clinical demographics and outcomes of mechanically ventilated patients is important but there are few prospectively collected data in Korea. The objective of the present study was to describe the current status of mechanically ventilated patients in Korea as of 2010. We analyzed the data of Korean patients (275 patients in 12 Korean intensive care units [ICU]) participating in a multinational prospective cohort study on mechanical ventilation. The most common indication for mechanical ventilation was pneumonia (23%). Pressure-limited ventilation modes were preferred over volume-cycled ventilation modes. Non-invasive positive pressure ventilation was used in only seven (2%) patients as the initial ventilatory support. Median duration of mechanical ventilation was 7 days and ICU mortality was 36%. The multiple logistic regression model revealed that the Simplified Acute Physiology Score II (SAPS II) score at ICU admission (odds ratio [OR], 1.034; 95% confidence interval [CI], 1.001-1.036; P=0.033), peak pressure (OR, 1.054; 95% CI, 1.016-1.095; P=0.006), and the number of failed organs (OR, 2.132; 95% CI, 1.634-2.781; P<0.001) were independently associated with ICU mortality. This study provides a snapshot of current practice of mechanical ventilation in Korea.

Graphical Abstract

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Relationship between glycated hemoglobin,Intensive Care Unit admission blood sugar and glucose control with ICU mortality in critically ill patients

Background and Aims:

The association between hyperglycemia and mortality is believed to be influenced by the presence of diabetes mellitus (DM). In this study, we evaluated the effect of preexisting hyperglycemia on the association between acute blood glucose management and mortality in critically ill patients. The primary objective of the study was the relationship between HbA₁c and mortality in critically ill patients. Secondary objectives of the study were relationship between Intensive Care Unit (ICU) admission blood glucose and glucose control during ICU stay with mortality in critically ill patients.

Materials and Methods:

Five hundred patients admitted to two ICUs were enrolled. Blood sugar and hemoglobin A₁c (HbA₁c) concentrations on ICU admission were measured. Age, sex, history of DM, comorbidities, Acute Physiology and Chronic Health Evaluation II score, sequential organ failure assessment score, hypoglycemic episodes, drug history, mortality, and development of acute kidney injury and liver failure were noted for all patients.

Results:

Without considering the history of diabetes, nonsurvivors had significantly higher HbA₁c values compared to survivors (7.25 ± 1.87 vs. 6.05 ± 1.22, respectively, P < 0.001). Blood glucose levels in ICU admission showed a significant correlation with risk of death (P < 0.006, confidence interval [CI]: 1.004–1.02, relative risk [RR]: 1.01). Logistic regression analysis revealed that HbA₁c increased the risk of death; with each increase in HbA₁c level, the risk of death doubled. However, this relationship was not statistically significant (P: 0.161, CI: 0.933–1.58, RR: 1.2).

Conclusions:

Acute hyperglycemia significantly affects mortality in the critically ill patients; this relation is also influenced by chronic hyperglycemia.     

Effect of Dementia on Postoperative Mortality in Elderly Patients with Hip Fracture

BackgroundThe aim of this study was to assess the prevalence of dementia as an underlying disease in elderly patients with hip fracture, to investigate the effect of dementia on postoperative mortality after surgery of hip fracture, and to analyze the differences in postoperative mortalities according to the severity of dementia through subgroup analysis.MethodsThis study selected 2,346 elderly patients who were diagnosed with unilateral intertrochanteric or femoral neck fractures who underwent surgery between January 2004 and December 2018. The patients were classified into the non-dementia group (2,196 patients) and dementia group (150 patients; no-medication [66 patients] and medication [84 patients] subgroups). The cumulative crude mortality rate was calculated, and 30-day, 60-day, 3-month, 6-month, and 1-year mortality rates were compared between the groups. A univariate regression test was performed using age, sex, diagnosis, surgery type, and Charlson''s comorbidity index (CCI), as these variables had P values of < 0.10. Multivariate regression analysis was performed to identify independent risk factors associated with mortality.ResultsThe 30-day, 60-day, 3-month, 6-month, and 1-year postoperative cumulative mortality rates were 1.8%, 3.8%, 5.6%, 8.9%, and 13.6%, respectively, in the non-dementia group, and 2%, 7.3%, 14%, 19.3%, and 24%, respectively, in the dementia group (P = 0.748, P = 0.048, P < 0.001, P < 0.001, and P = 0.001). The factors that affected the 1-year mortality were age (odds ratio [OR], 1.06; 95% confidence interval [CI], 1.02–1.08; P < 0.001), sex (OR, 2.68; 95% CI, 2.07–3.47; P < 0.001), CCI (OR, 1.34; 95% CI, 1.23–1.47; P < 0.001), and dementia (OR, 1.70; 95% CI, 1.46–1.08; P = 0.016). In subgroup analysis, severity of dementia influenced the 6-month mortality (OR, 1.41; 95% CI, 1.70–2.01; P = 0.018), and 1-year mortality (OR, 1.30; 95% CI, 1.17–1.90; P = 0.027).ConclusionIn elderly hip fracture patients, the comparison between patients with and without dementia revealed that dementia was an independent risk factor for mortality at a minimum of 1 year of follow-up, and the severity of dementia in hip fracture patients was a risk factor for mortality within 6 months and 1 year, postoperatively.     

The positive financial impact of using an Intensive Care Information System in a tertiary Intensive Care Unit

IntroductionIn the French healthcare system, the intensive care budget allocated is directly dependent on the activity level of the center. To evaluate this activity level, it is necessary to code the medical diagnoses and procedures performed on Intensive Care Unit (ICU) patients. The aim of this study was to evaluate the effects of using an Intensive Care Information System (ICIS) on the incidence of coding errors and its impact on the ICU budget allocated.Patients and methodsSince 2005, the documentation on and monitoring of every patient admitted to our ICU has been carried out using an ICIS. However, the coding process was performed manually until 2008. This study focused on two periods: the period of manual coding (year 2007) and the period of computerized coding (year 2008) which covered a total of 1403 ICU patients. The time spent on the coding process, the rate of coding errors (defined as patients missed/not coded or wrongly identified as undergoing major procedure/s) and the financial impact were evaluated for these two periods.ResultsWith computerized coding, the time per admission decreased significantly (from 6.8 ± 2.8 min in 2007 to 3.6 ± 1.9 min in 2008, p < 0.001). Similarly, a reduction in coding errors was observed (7.9% vs. 2.2%, p < 0.001). This decrease in coding errors resulted in a reduced difference between the potential and real ICU financial supplements obtained in the respective years (€194,139 loss in 2007 vs. a €1628 loss in 2008).ConclusionUsing specific computer programs improves the intensive process of manual coding by shortening the time required as well as reducing errors, which in turn positively impacts the ICU budget allocation.     

Predictors of In-Hospital Mortality Among Older Patients

OBJECTIVE:

The objective of this study was to determine predictors of in-hospital mortality among older patients admitted to a geriatric care unit.

INTRODUCTION:

The growing number of older individuals among hospitalized patients demands a thorough investigation of the factors that contribute to their mortality.

METHODS:

This was a prospective observational study implemented from February 2004 to October 2007 in a tertiary university hospital. A consecutive sample of 922 patients was evaluated for possible inclusion in this study. Patients hospitalized for palliative care, those who declined to participate, and those with incomplete data were excluded, resulting in a group of 856 patients aged 60 to 104 years. Bivariate and multivariate analyses were performed to determine associations between in-patient mortality and gender, age, length of stay, number of prescribed medications and diagnoses at admission, history of heart failure, neoplastic disease, immobility syndrome, delirium, infectious disease, and laboratory tests at admission (serum albumin and creatinine).

RESULTS:

The overall mortality rate was 16.4%. The following factors were associated with higher in-hospital mortality: delirium (OR=4.13, CI=2.65–6.44, P<.001), neoplastic disease (OR=3.38, CI=2.11–5.42, P<.001), serum albumin levels at admission <3.3mg/dL (OR=3.23, CI=2.03–5.13, P<.001), serum creatinine levels at admission ≥ 1.3mg/dL (OR=2.39, CI=1.53–3.72, P<.001), history of heart failure (OR=1.97, CI=1.20–3.22, P=.007), immobility (OR=1.84, CI=1.16–2.92, P =.009), and advanced age (OR=1.03, CI=1.01–1.06, P=.019).

CONCLUSIONS:

This study strengthens the perception of delirium as a mortality predictor among older inpatients. Cancer, immobility, low albumin levels, elevated creatinine levels, history of heart failure and advanced age were also related to higher mortality rates in this population.     

Intensive Care Unit death and factors influencing family satisfaction of Intensive Care Unit care

Introduction:

Family satisfaction of Intensive Care Unit (FS-ICU) care is believed to be associated with ICU survival and ICU outcomes. A review of literature was done to determine factors influencing FS-ICU care in ICU deaths.

Results:

Factors that positively influenced FS-ICU care were (a) communication: Honesty, accuracy, active listening, emphatic statements, consistency, and clarity; (b) family support: Respect, compassion, courtesy, considering family needs and wishes, and emotional and spiritual support; (c) family meetings: Meaningful explanation and frequency of meetings; (d) decision-making: Shared decision-making; (e) end of life care support: Support during foregoing life-sustaining interventions and staggered withdrawal of life support; (f) ICU environment: Flexibility of visiting hours and safe hospital environment; and (g) other factors: Control of pain and physical symptoms, palliative care consultation, and family-centered care. Factors that negatively influenced FS-ICU care were (a) communication: Incomplete information and unable to interpret information provided; (b) family support: Lack of emotional and spiritual support; (c) family meetings: Conflicts and short family meetings; (d) end of life care support: Resuscitation at end of life, mechanical ventilation on day of death, ICU death of an elderly, prolonged use of life-sustaining treatment, and unfamiliar technology; and (e) ICU environment: Restrictive visitation policies and families denied access to see the dying loved ones.

Conclusion:

Families of the patients admitted to ICU value respect, compassion, empathy, communication, involvement in decision-making, pain and symptom relief, avoiding futile medical interventions, and dignified end of life care.     

Pulmonary-renal syndromes: Experience from an Indian Intensive Care Unit

Background:

The etiology of patients presenting with pulmonary-renal syndrome (PRS) to Intensive Care Units (ICUs) in India is not previously reported.

Aims:

The aim was to describe the prevalence, etiology, clinical manifestations, and outcomes of PRS in an Indian ICU and identify variables that differentiate immunologic causes of PRS from tropical syndromes presenting with PRS.

Materials and Methods:

We conducted a prospective observational study of all patients presenting with PRS over 1-year. Clinical characteristics of patients with “definite PRS” were compared with those with “PRS mimics”.

Results:

We saw 27 patients with “provisional PRS” over the said duration; this included 13 patients with “definite PRS” and 14 with “PRS mimics”. The clinical symptoms were similar, but patients with PRS were younger and presented with longer symptom duration. Ninety-two percent of the PRS cohort required mechanical ventilation, 77% required vasopressors and 61.5% required dialysis within 48 h of ICU admission. The etiologic diagnosis of PRS was made after ICU admission in 61.5%. Systemic lupus erythrematosus (54%) was the most common diagnosis. A combination of biopsy and serology was needed in the majority (69%, 9/13). Pulse methylprednisolone (92%) and cyclophosphamide (61.5%) was the most common protocol employed. Patients with PRS had more alveolar hemorrhage, hypoxemia and higher mortality (69%) when compared to “PRS mimics”.

Conclusion:

The spectrum of PRS is different in the tropics and tropical syndromes presenting with PRS are not uncommon. Multicentric studies are needed to further characterize the burden, etiology, treatment protocols, and outcomes of PRS in India.     

Evaluation of antibiotic use in Pediatric Intensive Care Unit of a developing country

Background:Pediatric Intensive Care Unit (PICU) patients are often prescribed antibiotics with a low threshold in comparison to patients elsewhere. Irrational antibiotics use can lead to rapid emergence of drug resistance, so surveillance of their use is important.Objectives:To evaluate the use of antibiotics in relation to bacteriological findings in PICU of a Tertiary Hospital.Methods:Retrospective review of medical records of all children (age 1 month–16 years) admitted in our closed multidisciplinary-cardiothoracic PICU from January to June 2013 was performed, after approval from Ethical Review Committee. For each antibiotic, indication (prophylactic, empiric, therapeutic) and duration of use were recorded. All diagnoses of infections were recorded according to diagnostic criteria of IPSCC 2005. Results are presented as frequency and percentages and median with inter quartile range using SPSS version 19.Results:All of the total 240 patients admitted in PICU during the study period received antibiotics: 43% (n = 104) prophylactically, 42% (n = 102) empirically, and 15% (n = 15) therapeutically. Median number of antibiotic use per patient in PICU was 3, with range of 1–7. 25% received 1 antibiotic, 23% received 2 antibiotics, 29% received 3 antibiotics, and rest received ≥4 antibiotics. Most commonly used antibiotics were cefazolin, meropenem, vancomycin and ceftriaxone, and most frequently used combination was meropenem and vancomycin. In majority of the cases, (70%) empiric antibiotic combinations were stopped in 72 h.Conclusion:This is the first report of antibiotics use in PICU from our country, which shows that antibiotics are prescribed universally in our PICU. Strategies to assess the need for antibiotic use are needed.     

Analysis of Risk Factors for Ventilator-Associated Pneumonia in a Multidisciplinary Intensive Care Unit

 A prospective study was conducted to determine the incidence, risk factors and pathogens of ventilator-associated pneumonia (VAP) in 198 patients requiring mechanical ventilation for more than 48 hours. VAP occurred in 67 (33.8%) patients. Risk factors associated with VAP were admission APACHE II score >20 (odds ratio [OR] 4.77, 95% confidence interval [CI] 2.04–11.27, P<0.001), mechanical ventilation >10 days (OR 44.4, 95% CI 2.16–26.7, P<0.0001), ICU length of stay >10 days (OR 9.4, 95% CI 3.55–25.65, P<0.0001), and admission PaO₂/FiO₂ ratio <200 mmHg (OR 3.4, 95% CI 1.00–11.41, P<0.05). Logistic regression analysis showed a relationship between VAP and length of stay in ICU, duration of fever and presence of catheter-related infection. The pathogens isolated were predominantly gram-negative bacteria (83.2%), with a high proportion of Acinetobacter spp. (35%) resistant to commonly used antimicrobial agents. The mortality rate was not influenced by VAP.     

Comparison of outcome predictions by the Glasgow coma scale and the Full Outline of UnResponsiveness score in the neurological and neurosurgical patients in the Intensive Care Unit

Assessment of level of consciousness is very important in predicting patient''s outcome from neurological illness. Glasgow coma scale (GCS) is the most commonly used scale, and Full Outline of UnResponsiveness (FOUR) score is also recently validated as an alternative to GCS in the evaluation of the level of consciousness. We carried out a prospective study in 97 patients aged above 16 years. We measured GCS and FOUR score within 24 h of Intensive Care Unit admission. The mean GCS and the FOUR scores were lower among nonsurvivors than among the survivors and were statistically significant (P < 0.001). Discrimination for GCS and FOUR score was fair with the area under the receiver operating characteristic curve of 0.79 and 0.82, respectively. The cutoff point with best Youden index for GCS and FOUR score was 6.5 each. Below the cutoff point, mortality was higher in both models (P < 0.001). The Hosmer-Lemeshow Chi-square coefficient test showed better calibration with FOUR score than GCS. A positive correlation was seen between the models with Spearman''s correlation coefficient of 0.91 (P < 0.001).Key words: Coma, consciousness, Full Outline of UnResponsiveness score, Glasgow coma scale     

Economic analysis of costs associated with a Respiratory Intensive Care Unit in a tertiary care teaching hospital in Northern India

Background:

There is a paucity of cost analytical studies from resource constrained developing countries defining intensive care costs and their containment.

Objective:

Economic analysis of costs in a Respiratory Intensive Care Unit (RICU) of a tertiary care teaching hospital in northern India.

Materials and Methods:

A prospective study was conducted in 74 patients admitted in the RICU. Costs were segregated into fixed and variable costs. Total and categorized costs averaged per day and costs incurred on the first day of the RICU stay were calculated. Correlation of the costs was performed with the length of stay, length of mechanical ventilation, survival, and therapeutic intervention scoring system-28 (TISS-28).

Results:

The total cost per day was Indian rupees (INR) 10,364 (US $ 222). 46.4% of the total cost was borne by hospital and rest by patients. The mean cost represented 36.8% of the total cost and 69.8% of the variable cost. Expenditure on personnel salary constituted 37% of the total costs and 86% of the fixed cost. Length of stay in RICU was significantly higher in nonsurvivors (14.73 ± 13.6 days) vs. survivors (8.3 ± 7.8 days) (P < 0.05). The TISS-28 score points in survivors was 30.6 vs. nonsurvivors 69.2 per nurse (P < 0.05) correlating strongly with the total cost (r = 0.91).

Conclusion:

Although considerably less expensive than in economically developed countries, intensive care in India remains expensive relative to the cost of living. The cost block methodology provides a framework for cost estimation, aids resource allocation and allows international comparisons of economic models.     

The Distribution of Multidrug-resistant Microorganisms and Treatment Status of Hospital-acquired Pneumonia/Ventilator-associated Pneumonia in Adult Intensive Care Units: a Prospective Cohort Observational Study

BackgroundIt is essential to determine the distribution of the causative microorganisms in the region and the status of local antibiotic resistance for the proper treatment of hospital-acquired pneumonia/ventilator-associated pneumonia (HAP/VAP). This study aimed to investigate the occurrence and causative strains of HAP/VAP, distribution of resistant bacteria, use of antibiotics, and the ensuing outcomes of patients in Korea.MethodsA multicenter prospective observational cohort study was conducted among patients with HAP/VAP admitted to the medical intensive care unit of 5 tertiary referral centers between August 2012 and June 2015. Patients'' demographic and clinical data were collected.ResultsA total of 381 patients were diagnosed with HAP/VAP. Their median age was 69 (59–76) years and 71% were males. A majority of the patients (88%) had late-onset (> 5 days) HAP/VAP. One-quarter of the patients (n = 99) had at least one risk factor for multidrug-resistant (MDR) pathogens, such as prior intravenous antibiotic use within the last 90 days. Microbiological specimens were mostly obtained noninvasively (87%) using sputum or endotracheal aspirates. Pathogens were identified in 235 (62%) of the 381 patients. The most common bacterial pathogen was Acinetobacter baumannii (n = 89), followed by Staphylococcus aureus (n = 52), Klebsiella pneumoniae (n = 25) and Pseudomonas aeruginosa (n = 22). Most of isolated A. baumannii (97%) and S. aureus (88%) were multidrug resistant. The most commonly used empirical antibiotic regimens were carbapenem-based antibiotics (38%), followed by extended-spectrum penicillin/β-lactamase inhibitor (34%). Glycopeptide or linezolid were also used in combination in 54% of patients. The 28-day mortality rate of the patients with HAP/VAP was 30% and the 60-day mortality was 46%. Patients who used empirical antibiotics appropriately had significantly lower mortality rates than those who did not (28-day mortality: 25% vs. 40%, P = 0.032; 60-day mortality: 41% vs. 55%, P = 0.032, respectively). Administration of appropriate empirical antibiotics (odds ratio [OR], 0.282; confidence interval [CI], 0.092–0.859; P = 0.026), Day 7 treatment failure (OR, 4.515; CI, 1.545–13.192; P = 0.006), and APACHE II score on day 1 (OR, 1.326; CI, 0.988–1.779; P = 0.012) were the factors that determined the 28-day mortality in patients with HAP who had identified bacteria as pathogens.ConclusionIn HAP/VAP patients, there was a large burden of MDR pathogens, and their associated mortality rate was high. Proper selection of empirical antibiotics was significantly associated with the patient''s prognosis; however, there was a discrepancy between major pathogens and empirical antibiotic therapy.