Prevalence of infections in intensive care units in Mexico: a multicenter study

OBJECTIVE: To determine the 1-day prevalence of community-acquired, hospital-acquired, or intensive care unit (ICU)-acquired infections in Mexican ICUs. To identify associated risk factors, predominant infecting organisms, and mortality rates. DESIGN: A 1-day point-prevalence study. SETTING: A total of 254 adult ICUs in Mexico. PATIENTS: Adult patients hospitalized in the participating ICUs. RESULTS: A total of 895 patients were studied, of whom 521 patients (58.2%) were infected. Community-acquired infection occurred in 214 patients (23.9%), non-ICU nosocomial infection occurred in 99 patients (11.1%), and 208 patients had at least one ICU-acquired infection (23.2%; 1.45 episodes/patient). The most frequently reported ICU-acquired infections were pneumonia (39.7%), urinary tract infections (20.5%), wound infection (13.3%), and bacteremia (7.3%). The mortality rate for the ICU-acquired infections after 6 wks of follow-up was 25.5%. Multivariate regression analysis showed the following risk factors for ICU-acquired infections: neurologic failure as a primary cause of admission (odds ratio [OR], 1.697; 95% confidence interval [CI], 1.001-2.839); length of stay in ICU (OR, 1.119; 95% CI, 1.091-1.151); number of therapeutic and/or diagnostic interventions during the preceding week (OR, 1.118; 95% CI, 1.016-1.231); peripherally administered infusion of hyperosmolar solutions (OR, 6.93; 95% CI, 2.452-21.661); sedative usage in the preceding week (OR, 1.751; 95% CI, 1.183-2.602); history of an emergency surgery in the preceding month (OR, 1.875; 95% CI, 1.251-2.813). The administration of antimicrobial treatment if there was an infection decreased the risk of death (OR, 0.406; 95% CI, 0.204-0.755). CONCLUSIONS: Evidence of a high frequency of nosocomial infections was found, and potential risk factors for acquiring infections and mortality were identified. Mortality rates according to the hierarchy of the systemic inflammatory response syndrome in Latin American ICUs are reported.     

Critically Ill Health Care-Associated Urinary Tract Infection: Broad vs. Narrow Antibiotics in the Emergency Department Have Similar Outcomes

BackgroundUrinary tract infection (UTI) is the second most common infection requiring intensive care unit (ICU) admission in emergency department (ED) patients. Optimal empiric management for health care-associated (HCA) UTI is unclear, particularly in the critically ill.ObjectiveTo compare clinical failure of broad vs. narrow antibiotic selection in the ED for patients presenting with HCA UTI admitted to the ICU.MethodsObservational cohort of patients started on empiric antibiotic for UTI with at least one HCA risk factor (recurrent UTI, chronic urinary catheter or dialysis, urologic procedures, previous antibiotic exposure, hospitalization, or group facility residence). Broad antibiotics covered Pseudomonas spp. and extended-spectrum beta-lactamase. Clinical failure was a composite of multiorgan dysfunction (MODS) by day 2 and in-hospital mortality. Secondary outcomes were length of stay (LOS), readmission, recurrent infection, development of multidrug-resistant organisms, and Clostridium difficile infection. Associations were reported with odds ratios (OR) and 95% confidence intervals (CI).ResultsThere were 272 patients included; 196 (72.1%) received broad and 76 (27.9%) received narrow therapy. There was no association between antibiotic selection and clinical failure (OR 1.05, 95% CI 0.5–2.25, p = 0.89) or between antibiotic selection and number of HCA risk factors (OR 0.98, 95% CI 0.73–1.31, p = 0.87). There was an association between clinical failure and MODS on ICU admission (OR 9.14, 95% CI 4.70–17.78, p < 0.001). Hospital LOS and readmission did not differ between antibiotic groups.ConclusionInitial empiric broad or narrow antibiotic coverage in HCA UTI patients who presented to the ED and required ICU admission had similar clinical outcomes.     

Effects of etomidate on complications related to intubation and on mortality in septic shock patients treated with hydrocortisone: a propensity score analysis

Introduction

As data from Clostridium difficile infection (CDI) in intensive care unit (ICU) are still scarce, our objectives were to assess the morbidity and mortality of ICU-acquired CDI.

Methods

We compared patients with ICU-acquired CDI (watery or unformed stools occurring ≥ 72 hours after ICU admission with a stool sample positive for C. difficile toxin A or B) with two groups of controls hospitalized at the same time in the same unit. The first control group comprised patients with ICU-acquired diarrhea occurring ≥ 72 hours after ICU admission with a stool sample negative for C. difficile and for toxin A or B. The second group comprised patients without any diarrhea.

Results

Among 5,260 patients, 512 patients developed one episode of diarrhea. Among them, 69 (13.5%) had a CDI; 10 (14.5%) of them were community-acquired, contrasting with 12 (17.4%) that were hospital-acquired and 47 (68%) that were ICU-acquired. A pseudomembranous colitis was associated in 24/47 (51%) ICU patients. The median delay between diagnosis and metronidazole administration was one day (25^th Quartile; 75^th Quartile (0; 2) days). The case-fatality rate for patients with ICU-acquired CDI was 10/47 (21.5%), as compared to 112/443 (25.3%) for patients with negative tests. Neither the crude mortality (cause specific hazard ratio; CSHR = 0.70, 95% confidence interval; CI 0.36 to 1.35, P = 0.3) nor the adjusted mortality to confounding variables (CSHR = 0.81, 95% CI 0.4 to 1.64, P = 0.6) were significantly different between CDI patients and diarrheic patients without CDI. Compared to the general ICU population, neither the crude mortality (SHR = 0.64, 95% CI 0.34 to 1.21, P = 0.17), nor the mortality adjusted to confounding variables (CSHR = 0.71, 95% confidence interval (CI) 0.38 to 1.35, P = 0.3), were significantly different between the two groups. The estimated increase in the duration of stay due to CDI was 8.0 days ± 9.3 days, (P = 0.4) in comparison to the diarrheic population, and 6.3 days ± 4.3 (P = 0.14) in comparison to the general ICU population.

Conclusions

If treated early, ICU-acquired CDI is not independently associated with an increased mortality and impacts marginally the ICU length of stay.     

Ventilator-associated pneumonia caused by multidrug-resistant organisms or Pseudomonas aeruginosa: prevalence, incidence, risk factors, and outcomes

PURPOSE: The aim of this study was to clarify the prevalence and incidence of, risk factors for, and outcomes from suspected ventilator-associated pneumonia (VAP) associated with the isolation of either Pseudomonas or multidrug-resistant (MDR) bacteria ("high risk" pathogens) from respiratory secretions. MATERIALS AND METHODS: Data were collected as part of a large, multicentered trial of diagnostic and therapeutic strategies for patients (n = 739) with suspected VAP. RESULTS: At enrollment, 6.4% of patients had Pseudomonas species, and 5.1% of patients had at least 1 MDR organism isolated from respiratory secretions. Over the study period, the incidence of Pseudomonas and MDR organisms was 13.4% and 9.2%, respectively. Independent risk factors for the presence of these pathogens at enrollment were duration of hospital stay >or=48 hours before intensive care unit (ICU) admission (odds ratio, 2.37 [95% CI, 1.40-4.02]; P = .001] and prolonged duration of ICU stay before enrollment (odds ratio, 1.50 [95% CI, 1.17-1.93]; P = .002] per week. Fewer patients whose specimens grew either Pseudomonas or MDR organisms received appropriate empirical antibiotic therapy compared to those without these pathogens (68.5% vs 93.9%, P < .001). The isolation of high risk pathogens from respiratory secretions was associated with higher 28-day (relative risk, 1.59 [95% CI, 1.07-2.37]; P = .04] and hospital mortality (relative risk, 1.48 [95% CI, 1.05-2.07]; P = .05), and longer median duration of mechanical ventilation (12.6 vs 8.7 days, P = .05), ICU length of stay (16.2 vs 12.0 days, P = .05), and hospital length of stay (55.0 vs 41.8 days, P = .05). CONCLUSIONS: In this patient population, the incidence of high-risk organisms newly acquired during an ICU stay is low. However, the presence of high risk pathogens is associated with worse clinical outcomes.     

Risk factors for ciprofloxacin resistance among Escherichia coli strains isolated from community-acquired urinary tract infections in Turkey

OBJECTIVES: To determine the risk factors for community-acquired ciprofloxacin-resistant Escherichia coli urinary tract infection (UTI). METHODS: The study was performed with isolates from community-acquired UTIs collected from 15 centres representing six different geographic regions of Turkey. All microbiological procedures were carried out in a central laboratory. Multivariate analysis was performed for detection of risk factors for resistance. Use of quinolones more than once within the last year, living in a rural area, having a urinary catheter, age >50 and complicated infections were included in the model as variables and logistic regression was performed. RESULTS: A total of 611 gram-negative isolates were studied: 321 were isolated from uncomplicated UTI and 290 were isolated from complicated UTI. E. coli was the causative agent in 90% of the uncomplicated UTIs and in 78% of the complicated UTIs (P < 0.001). Seventeen percent of E. coli strains isolated from uncomplicated cases and 38% of E. coli strains isolated from complicated UTI were found to be resistant to ciprofloxacin. In multivariate analysis, age over 50 [odds ratio (OR): 1.6; confidence interval (CI): 1.08-2.47; P = 0.020], ciprofloxacin use more than once in the last year (OR: 2.8; CI: 1.38-5.47; P = 0.004) and the presence of complicated UTI (OR: 2.4; CI: 1.54-3.61; P < 0.001) were found to be associated with ciprofloxacin resistance. Detection of strains of E. coli producing extended-spectrum beta-lactamase (ESBL) enzymes was two times more common in the patients who received ciprofloxacin than those who did not (15% versus 7.4%). CONCLUSIONS: The increasing prevalence of infections caused by antibiotic-resistant bacteria makes the empirical treatment of UTIs more difficult. One of the important factors contributing to these high resistance rates might be high antibiotic use. Urine culture and antimicrobial susceptibility testing are essential in Turkey for patients with UTI who have risk factors for resistance, such as previous ciprofloxacin use. Fluoroquinolone-sparing agents such as nitrofurantoin and fosfomycin should be evaluated as alternative therapies by further clinical efficacy and safety studies.     

Outcome of ICU patients with Clostridium difficile infection

Introduction

As data from Clostridium difficile infection (CDI) in intensive care unit (ICU) are still scarce, our objectives were to assess the morbidity and mortality of ICU-acquired CDI.

Methods

We compared patients with ICU-acquired CDI (watery or unformed stools occurring ≥ 72 hours after ICU admission with a stool sample positive for C. difficile toxin A or B) with two groups of controls hospitalized at the same time in the same unit. The first control group comprised patients with ICU-acquired diarrhea occurring ≥ 72 hours after ICU admission with a stool sample negative for C. difficile and for toxin A or B. The second group comprised patients without any diarrhea.

Results

Among 5,260 patients, 512 patients developed one episode of diarrhea. Among them, 69 (13.5%) had a CDI; 10 (14.5%) of them were community-acquired, contrasting with 12 (17.4%) that were hospital-acquired and 47 (68%) that were ICU-acquired. A pseudomembranous colitis was associated in 24/47 (51%) ICU patients. The median delay between diagnosis and metronidazole administration was one day (25^th Quartile; 75^th Quartile (0; 2) days). The case-fatality rate for patients with ICU-acquired CDI was 10/47 (21.5%), as compared to 112/443 (25.3%) for patients with negative tests. Neither the crude mortality (cause specific hazard ratio; CSHR = 0.70, 95% confidence interval; CI 0.36 to 1.35, P = 0.3) nor the adjusted mortality to confounding variables (CSHR = 0.81, 95% CI 0.4 to 1.64, P = 0.6) were significantly different between CDI patients and diarrheic patients without CDI. Compared to the general ICU population, neither the crude mortality (SHR = 0.64, 95% CI 0.34 to 1.21, P = 0.17), nor the mortality adjusted to confounding variables (CSHR = 0.71, 95% confidence interval (CI) 0.38 to 1.35, P = 0.3), were significantly different between the two groups. The estimated increase in the duration of stay due to CDI was 8.0 days ± 9.3 days, (P = 0.4) in comparison to the diarrheic population, and 6.3 days ± 4.3 (P = 0.14) in comparison to the general ICU population.

Conclusions

If treated early, ICU-acquired CDI is not independently associated with an increased mortality and impacts marginally the ICU length of stay.     

Venous thromboembolic disease: an observational study in medical-surgical intensive care unit patients

Purpose: Acute and chronic illness, immobility, and procedural and pharmacologic interventions may predispose patients in the intensive care unit (ICU) to venous thromboembolic (VTE) disease. The purpose of this study was to observe potential risk factors and diagnostic tests for VTE, and prophylaxis against VTE in medical-surgical ICU patients. Materials and Methods: In a prospective observational study, 93 consecutive patients admitted to a mixed medical-surgical ICU were followed. We recorded demographics, admitting diagnoses, APACHE II score, VTE risk factors, antithrombotic, anticoagulant and thrombolytic agents, diagnostic tests for deep venous thrombosis (DVT) and pulmonary embolus (PE), and clinical outcomes. Results: Patients were 65.5 (15.5) years old with an APACHE II score of 21.1 (9.0); 44 (47.3%) were female. Admission diagnoses were medical (58, 67.4%) and surgical (35, 37.6%). The duration of ICU stay was 3 days (interquartile range: 1, 8.5 days) and the ICU mortality rate was 20.4% (19 of 93). We observed 8 VTE events among 5 of 93 patients (incidence 5.4% [0.8 to 10.0]); 2 patients had DVT and PE before admission, 1 had DVT as an admitting diagnosis, 1 had DVT on day 2 and PE on day 3, and 1 had PE on day 2. Over 804 ICU patient-days, 2 of 5 ultrasound examinations diagnosed DVT and 2 of 3 ventilation-perfusion lung scans diagnosed PE. Of 64 patients in whom heparin was not contraindicated and who were not anticoagulated, subcutaneous heparin prophylaxis was prescribed for 40 (62.5%) patients. ICU-acquired VTE risk factors were mechanical ventilation (odds ratio [OR] 1.56), immobility (OR 2.14), femoral venous catheter (OR 2.24), sedatives (OR 1.52), and paralytic drugs (OR 4.81), whereas VTE heparin prophylaxis (OR 0.08), aspirin (OR 0.42), and thromboembolic disease stockings (OR 0.63) were associated with a lower risk. Only warfarin (OR 0.07, P = .01) and intravenous heparin (OR 0.04, P < .01) were associated with a significantly decreased risk of VTE. Conclusions: Several ICU-acquired risk factors for VTE were documented in this medical-surgical ICU. VTE prophylaxis was underprescribed, and VTE diagnostic tests were infrequent. Further research is required to determine the incidence, predisposing factors, attributable morbidity, mortality, and costs of VTE in medical-surgical ICU patients, the optimal diagnostic test strategies, and the most cost-effective approaches of prophylaxis. Copyright © 2000 by W.B. Saunders Company     

Carbapenem-Resistant Klebsiella pneumoniae Urinary Tract Infection following Solid Organ Transplantation

Carbapenem-resistant Klebsiella pneumoniae (CRKP) is an emerging pathogen with a devastating impact on organ transplant recipients (OTRs). Data describing urinary tract infections (UTIs) due to CRKP, compared to extended-spectrum β-lactamase (ESBL)-producing and susceptible K. pneumoniae, are lacking. We conducted a retrospective cohort study comparing OTRs with a first episode of UTI due to CRKP, ESBL-producing K. pneumoniae, or susceptible K. pneumoniae. We identified 108 individuals; 22 (20%) had UTIs due to CRKP, 22 (20%) due to ESBL-producing K. pneumoniae, and 64 (60%) due to susceptible K. pneumoniae. Compared to susceptible K. pneumoniae (27%), patients with UTIs due to CRKP or ESBL-producing K. pneumoniae were more likely to have a ≥24-hour stay in the intensive care unit (ICU) before or after development of the UTI (64% and 77%, respectively; P < 0.001). Among 105/108 hospitalized patients (97%), the median lengths of stay prior to UTI with CRKP or ESBL-producing K. pneumoniae (7 and 8 days, respectively) were significantly longer than that for susceptible K. pneumoniae (1 day; P < 0.001). Clinical failure was observed for 8 patients (36%) with CRKP, 4 (18%) with ESBL-producing K. pneumoniae, and 9 (14%) with susceptible K. pneumoniae (P = 0.073). Microbiological failure was seen for 10 patients (45%) with CRKP, compared with 2 (9%) with ESBL-producing K. pneumoniae and 2 (3%) with susceptible K. pneumoniae (P < 0.001). In multivariable logistic regression analyses, CRKP was associated with greater odds of microbiological failure (versus ESBL-producing K. pneumoniae: odds ratio [OR], 9.36, 95% confidence interval [CI], 1.94 to 72.1; versus susceptible K. pneumoniae: OR, 31.4, 95% CI, 5.91 to 264). In conclusion, CRKP is associated with ICU admission, long length of stay, and microbiological failure among OTRs with UTIs. Greater numbers are needed to determine risk factors for infection and differences in meaningful endpoints associated with carbapenem resistance.     

Antibiotic resistance in isolates recovered from women with community-acquired urinary tract infections presenting to a tertiary care emergency department

ABSTRACTIntroduction:We sought to determine the antibiotic susceptibility of organisms causing community-acquired urinary tract infections (UTIs) in adult females attending an urban emergency department (ED) and to identify risk factors for antibiotic resistance.Methods:We reviewed the ED charts of all nonpregnant, nonlactating adult females with positive urine cultures for 2008 and recorded demographics, diagnosis, complicating factors, organism susceptibility, and risk factors for antibiotic resistance. Odds ratios (ORs) and 95% confidence intervals (CIs) for potential risk factors were calculated.Results: Our final sample comprised 327 UTIs: 218 were cystitis, of which 22 were complicated cases and 109 were pyelonephritis, including 22 complicated cases. Escherichia coli accounted for 82.3% of all UTIs, whereas Staphylococcus saprophyticus accounted for 5.2%. In uncomplicated cystitis, 9.5% of all isolates were resistant to ciprofloxacin and 24.0% to trimethoprim-sulfamethoxazole (TMP-SMX). In uncomplicated pyelonephritis, 19.5% of isolates were resistant to ciprofloxacin and 36.8% to TMP-SMX. In UTI (all types combined), any antibiotic use within the previous 3 months was a significant risk factor for resistance to both ciprofloxacin (OR 3.34, 95% CI 1.16-9.62) and TMP-SMX (OR 4.02, 95% CI 1.48-10.92). Being 65 years of age or older and having had a history of UTI in the previous year were risk factors only for ciprofloxacin resistance. Conclusions:E. coli was the predominant urinary pathogen in this series. Resistance to ciprofloxacin and TMP-SMX was high, highlighting the importance of relevant, local antibiograms. Any recent antibiotic use was a risk factor for both ciprofloxacin and TMP-SMX resistance in UTI. Our findings should be confirmed with a larger prospective study.     

Prognostic factors in critically ill cancer patients admitted to the intensive care unit

Objective

The objective of this study is to identify factors predicting intensive care unit (ICU) mortality in cancer patients admitted to a medical ICU.

Patients and methods

We conducted a retrospective study in 162 consecutive cancer patients admitted to the medical ICU of a 1000-bed university hospital between January 2009 and June 2012. Medical history, physical and laboratory findings on admission, and therapeutic interventions during ICU stay were recorded. The study end point was ICU mortality. Logistic regression analysis was performed to identify independent risk factors for ICU mortality.

Results

The study cohort consisted of 104 (64.2%) patients with solid tumors and 58 patients (35.8%) with hematological malignancies. The major causes of ICU admission were sepsis/septic shock (66.7%) and respiratory failure (63.6%), respectively. Overall ICU mortality rate was 55 % (n = 89). The ICU mortality rates were similar in patients with hematological malignancies and solid tumors (57% vs 53.8%; P = .744). Four variables were independent predictors for ICU mortality in cancer patients: the remission status of the underlying cancer on ICU admission (odds ratio [OR], 0.113; 95% confidence interval [CI], 0.027-0.48; P = .003), Acute Physiology and Chronic Health Evaluation II score (OR, 1.12; 95% CI, 1.032-1.215; P = .007), sepsis/septic shock during ICU stay (OR, 8.94; 95% CI, 2.28-35; P = .002), and vasopressor requirement (OR 16.84; 95% CI, 3.98-71.24; P = .0001). Although Acute Physiology and Chronic Health Evaluation II score (OR, 1.30; 95% CI, 1.054-1.61; P = .014), admission through emergency service (OR, 0.005; 95% CI, 0.00-0.69; P = .035), and vasopressor requirement during ICU stay (OR, 140.64; 95% CI, 3.59-5505.5; P = .008) were independent predictors for ICU mortality in patients with hematological malignancies, Sequential Organ Failure Assessment score (OR, 1.83; 95% CI, 1.29-2.6; P = .001), lactate dehydrogenase level on admission (OR, 1.002; 95% CI, 1-1.005; P = .028), sepsis/septic shock during ICU stay (OR, 138.4; 95% CI, 12.54-1528.4; P = .0001), and complete or partial remission of the underlying cancer (OR, 0.026; 95% CI, 0.002-0.3; P = .004) were the independent risk factors in patients with solid tumors.

Conclusion

Intensive care unit mortality rate was 55% in our cancer patients, which suggests that patients with cancer can benefit from ICU admission. We also found that ICU mortality rates of patients with hematological malignancies and solid tumors were similar.     

Predictors of carbapenem-resistant Klebsiella pneumoniae acquisition among hospitalized adults and effect of acquisition on mortality

Carbapenem-resistant Klebsiella pneumoniae (CRKP) is an emerging nosocomial pathogen. Little is known about its risk factors or mortality. We performed a case-case-control study to assess the risks for CRKP isolation and a retrospective cohort study to assess mortality in three groups of hospitalized adults: (i) patients from whom CRKP was isolated, (ii) patients from whom carbapenem-susceptible Klebsiella spp. (CSKS) were isolated, and (iii) controls from whom no Klebsiella spp. were isolated. After adjustment for length of stay (LOS), the demographics, comorbidities, and exposures of each case group were compared with those of the controls. Significant covariates were incorporated into LOS-adjusted multivariable models. In the mortality study, we evaluated the effect of CRKP on in-hospital death. There were 48 patients with CRKP isolation (21 died [44%]), 56 patients with CSKS isolation (7 died [12.5%]), and 59 controls (1 died [2%]). Independent risk factors for CRKP isolation were poor functional status (odds ratio [OR], 15.4; 95% confidence interval [CI], 4.0 to 58.6; P < 0.001); intensive care unit (ICU) stay (OR, 17.4; 95% CI, 1.5 to 201.9; P = 0.02); and receipt of antibiotics (OR, 4.4; 95% CI, 1.0 to 19.2; P = 0.05), particularly fluoroquinolones (OR, 7.2; 95% CI, 1.1 to 49.4; P = 0.04). CRKP was independently associated with death when patients with CRKP were compared with patients with CSKS (OR, 5.4; 95% CI, 1.7 to 17.1; P = 0.005) and with controls (OR, 6.7; 95% CI, 2.4 to 18.8; P < 0.001). After adjustment for the severity of illness, CRKP isolation remained predictive of death, albeit with a lower OR (for the CRKP group versus the CSKS group, OR, 3.9; 95% CI, 1.1 to 13.6; and P = 0.03; for the CRKP group versus the controls, OR, 5.0; 95% CI, 1.7 to 14.8; and P = 0.004). CRKP affects patients with poor functional status, an ICU stay, and antibiotic exposure and is an independent predictor of death.     

Risk factors and prognostic predictors of unexpected intensive care unit admission within 3 days after ED discharge

Objective

Our objective was to investigate the risk factors and prognostic predictors of unexpected intensive care unit (ICU) admission within 3 days after emergency department (ED) discharge.

Methods

From January 1, 2001, through December 31, 2005, patients admitted to the ICU unexpectedly within 3 days after being discharged from the ED were enrolled. Medical records of these patients were retrospectively reviewed. We categorized each patient's characteristics into dichotomous groups and used the χ² test to identify risk factors for unexpected ICU admission within 3 days after ED discharge. A multiple logistic regression was applied to examine possible independent predictors of poor prognoses.

Results

During the study period, 365 321 patients visited our ED; 241(0.07%) were unexpectedly admitted to the ICU within 3 days after being discharged from the ED. Mean patient age was 74.2 ± 16.4 years. The rate of ICU admissions caused by medical error was 0.019% ± 0.004% of all visits and 29.0% ± 5.7% of all unexpected ICU admissions. The overall mortality rate was 19.9% (48/241). Risk factors for unexpected ICU admission within 3 days after discharge from the ED were age of 65 years or older (odds ratio [OR], 5.4; 95% confidence interval [CI], 4.0-7.4), ambulance transport (OR, 5.1; 95% CI, 3.9-6.5), no accompanying family (OR, 3.5; 95% CI, 2.7-4.5), nonambulatory status (OR, 4.2; 95% CI, 2.9-5.0), not living at home (OR, 2.5; 95% CI, 1.9-3.3), Medicaid insurance (OR, 3.6; 95% CI, 2.8-4.7), and emergency stay of more than 24 hours (OR, 4.4; 95% CI, 3.4-5.7). The independent predictors of mortality were age of 65 years or older (OR, 2.4; 95% CI, 1.7-3.6), multiple comorbidities (OR, 4.0; 95% CI, 1.8-8.5), medical error leading to ICU admission (OR, 3.9; 95% CI, 1.8-8.3), and Acute Physiology and Chronic Health Evaluation II score of 20 or higher (OR, 2.9; 95% CI, 1.1-7.8).

Conclusions

In our study, the risk factors and prognostic predictors of unexpected ICU admission within 3 days after ED discharge were identified. Based on these risk and prognostic prediction factors, further strategies for decreasing the incidence of serious adverse events of ED-discharged patients can be implemented.     

The epidemiology of intensive care unit-acquired hyponatraemia and hypernatraemia in medical-surgical intensive care units

Introduction

Although sodium disturbances are common in hospitalised patients, few studies have specifically investigated the epidemiology of sodium disturbances in the intensive care unit (ICU). The objectives of this study were to describe the incidence of ICU-acquired hyponatraemia and hypernatraemia and assess their effects on outcome in the ICU.

Methods

We identified 8142 consecutive adults (18 years of age or older) admitted to three medical-surgical ICUs between 1 January 2000 and 31 December 2006 who were documented to have normal serum sodium levels (133 to 145 mmol/L) during the first day of ICU admission. ICU acquired hyponatraemia and hypernatraemia were respectively defined as a change in serum sodium concentration to below 133 mmol/L or above 145 mmol/L following day one in the ICU.

Results

A first episode of ICU-acquired hyponatraemia developed in 917 (11%) patients and hypernatraemia in 2157 (26%) patients with an incidence density of 3.1 and 7.4 per 100 days of ICU admission, respectively, during 29,142 ICU admission days. The incidence of both ICU-acquired hyponatraemia (age, admission diagnosis, Acute Physiology and Chronic Health Evaluation (APACHE) II score, length of ICU stay, level of consciousness, serum glucose level, body temperature, serum potassium level) and ICU-acquired hypernatraemia (baseline creatinine, APACHE II score, mechanical ventilation, length of ICU stay, body temperature, serum potassium level, level of care) varied according to patients' characteristics. Compared with patients with normal serum sodium levels, hospital mortality was increased in patients with ICU-acquired hyponatraemia (16% versus 28%, p < 0.001) and ICU-acquired hypernatraemia (16% versus 34%, p < 0.001).

Conclusions

ICU-acquired hyponatraemia and hypernatraemia are common in critically ill patients and are associated with increased risk of hospital mortality.     

Critical illness polyneuropathy: risk factors and clinical consequences. A cohort study in septic patients

OBJECTIVE: To determine risk factors and clinical consequences of critical illness polyneuropathy (CIP) evaluated by the impact on duration of mechanical ventilation, length of stay and mortality. DESIGN: Inception cohort study. SETTING: Intensive care unit of a tertiary hospital. PATIENTS: Septic patients with multiple organ dysfunction syndrome requiring mechanical ventilation and without previous history of polyneuropathy. INTERVENTIONS: Patients underwent two scheduled electrophysiologic studies (EPS): on the 10th and 21st days after the onset of mechanical ventilation. RESULTS: Eighty-two patients were enrolled, although nine of them were not analyzed. Forty-six of the 73 patients presented CIP on the first EPS and 4 other subjects were diagnosed with CIP on the second evaluation. The APACHE II scores of patients with and without CIP were similar on admission and on the day of the first EPS. However, days of mechanical ventilation [32.3 (21.1) versus 18.5 (5.8); p=0.002], length of ICU and hospital stay in patients discharged alive from the ICU as well as in-hospital mortality were greater in patients with CIP (42/50, 84% versus 13/23, 56.5%; p=0.01). After multivariate analysis, independent risk factors were hyperosmolality [odds ratio (OR) 4.8; 95% confidence intervals (95% CI) 1.05-24.38; p=0.046], parenteral nutrition (OR 5.11; 95% CI 1.14-22.88; p=0.02), use of neuromuscular blocking agents (OR 16.32; 95% CI 1.34-199; p=0.0008) and neurologic failure (GCS below 10) (OR 24.02; 95% CI 3.68-156.7; p<0.001), while patients with renal replacement therapy had a lower risk for CIP development (OR 0.02; 95% CI 0.05-0.15; p<0.001). By multivariate analysis, CIP (OR 7.11; 95% CI 1.54-32.75; p<0.007), age over 60 years (OR 9.07; 95% CI 2.02-40.68; p<0.002) and the worst renal SOFA (OR 2.18; 95% CI 1.27-3.74; p<0.002) were independent predictors of in-hospital mortality. CONCLUSIONS: CIP is associated with increased duration of mechanical ventilation and in-hospital mortality. Hyperosmolality, parenteral nutrition, non-depolarizing neuromuscular blockers and neurologic failure can favor CIP development.     

Tachyarrhythmias in a surgical intensive care unit: a case-controlled epidemiologic study

Objective: Incidence, types, and factors associated with new onset tachyarrhythmias (TA) in surgical intensive care patients.¶Design: Pairwise-matched case-controlled study. Setting: Surgical intensive care unit (ICU) with nine intensive care beds. Patients: During a 1-year period, all TA patients (n = 89) were included in the study. Control patients (n = 82) without TA were matched according to age, sex, and surgical region. Methods: TA workup included: 12-lead ECG, arterial blood gas, serum electrolyte (K⁺, Mg²⁺), and serum CK/CKMB isoenzyme analysis. Pre-existing cardiovascular and pulmonary disease, cardiovascular risk factors, preoperative regular medication, and admission SAPS were recorded in all patients. A multiple organ dysfunction syndrome (MODS) score, the presence or absence of SIRS or sepsis, and hemodynamics (MAP and CVP) before onset of TA were evaluated in TA patients, while in control patients highest MODSscore, the presence or absence of SIRS or sepsis, mean hemodynamic and laboratory values calculated from highest and lowest readings during ICU stay were used for statistical comparison. Logistic regression analysis was performed to identify variables multivariately associated with TA. Results: Eighty-nine (14.8 %) of 596 patients developed TA. Atrial fibrillation was most frequent (60.7 %). Presence of SIRS or sepsis (adj. OR = 36.45; 95 % CI: 11.5–115.5), high admission SAPS (adj. OR = 1.25/point; 95 % CI: 1.08–1.44), high CVP (adj. OR = 1.27/mmHg; 95 % CI: 1.09–1.48), and low arterial oxygen tension (adj. OR = 0.97/mmHg); 95 % CI: 0.95–0.99) were found to be significant predictors for development of TA. Conclusions: In surgical patients hypoxia, high cardiac filling pressures, a greater degree of physiologic derangement at admission, and the presence of SIRS and sepsis are independent risk factors for the development of TA.     

Identifying Infected Emergency Department Patients Admitted to the Hospital Ward at Risk of Clinical Deterioration and Intensive Care Unit Transfer

Objectives: An important challenge faced by emergency physicians (EPs) is determining which patients should be admitted to an intensive care unit (ICU) and which can be safely admitted to a regular ward. Understanding risk factors leading to undertriage would be useful, but these factors are not well characterized. Methods: The authors performed a secondary analysis of two prospective, observational studies of patients admitted to the hospital with clinically suspected infection from an urban university emergency department (ED). Inclusion criteria were as follows: adult ED patient (age 18 years or older), ward admission, and suspected infection. The primary outcome was transfer to an ICU within 48 hours of admission. Using multiple logistic regression, independent predictors of early ICU transfer were identified, and the area under the curve for the model was calculated. Results: Of 5,365 subjects, 93 (1.7%) were transferred to an ICU within 48 hours. Independent predictors of ICU transfer included respiratory compromise (odds ratio [OR] = 2.5, 95% confidence interval [CI] = 1.4 to 4.3), congestive heart failure (CHF; OR = 2.2, 95% CI = 1.4 to 3.6), peripheral vascular disease (OR = 2.0, 95% CI = 1.1 to 3.7), systolic blood pressure (sBP) < 100 mm Hg (OR = 1.9, 95% CI = 1.2 to 2.9), heart rate > 90 beats/min (OR = 1.8, 95% CI = 1.1 to 2.8), and creatinine > 2.0 (OR = 1.8, 95% CI = 1.1 to 2.8). Cellulitis was associated with a lower likelihood of ICU transfer (OR = 0.33, 95% CI = 0.15 to 0.72). The area under the curve for the model was 0.73, showing moderate discriminatory ability. Conclusions: In this preliminary study, independent predictors of ICU transfer within 48 hours of admission were identified. While somewhat intuitive, physicians should consider these factors when determining patient disposition. ACADEMIC EMERGENCY MEDICINE 2010; 17:1080–1085 © 2010 by the Society for Academic Emergency Medicine     

Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis

ABSTRACT: INTRODUCTION: Candidemia in critically ill patients is usually a severe and life-threatening condition with a high crude mortality. Very few studies have focused on the impact of candidemia on ICU patient outcome and attributable mortality still remains controversial. This study was carried out to determine the attributable mortality of ICU-acquired candidemia in critically ill patients using propensity score matching analysis. METHODS: A prospective observational study was conducted of all consecutive non-neutropenic adult patients admitted for at least seven days to 36 ICUs in Spain, France, and Argentina between April 2006 and June 2007. The probability of developing candidemia was estimated using a multivariate logistic regression model. Each patient with ICU-acquired candidemia was matched with two control patients with the nearest available Mahalanobis metric matching within the calipers defined by the propensity score. Standardized differences tests (SDT) for each variable before and after matching were calculated. Attributable mortality was determined by a modified Poisson regression model adjusted by those variables that still presented certain misalignments defined as a SDT > 10%. RESULTS: Thirty-eight candidemias were diagnosed in 1,107 patients (34.3 episodes/1,000 ICU patients). Patients with and without candidemia had an ICU crude mortality of 52.6% versus 20.6% (P < 0.001) and a crude hospital mortality of 55.3% versus 29.6% (P = 0.01), respectively. In the propensity matched analysis, the corresponding figures were 51.4% versus 37.1% (P = 0.222) and 54.3% versus 50% (P = 0.680). After controlling residual confusion by the Poisson regression model, the relative risk (RR) of ICU- and hospital-attributable mortality from candidemia was RR 1.298 (95% confidence interval (CI) 0.88 to 1.98) and RR 1.096 (95% CI 0.68 to 1.69), respectively. CONCLUSIONS: ICU-acquired candidemia in critically ill patients is not associated with an increase in either ICU or hospital mortality.     

红细胞分布宽度与危重症患者病死率的相关性研究

目的探讨危重症患者入重症监护室(intensive care unit,ICU)时红细胞分布宽度(red cell distribution width,RDW)与病死率的相关性。方法采用回顾性队列研究,纳入美国重症监护数据库Ⅱ版本2.6(Multiparameter Intelligent Monitoring in Intensive CareⅡversion 2.6,MIMIC-Ⅱv2.6)中单次入院且ICU住院时长> 24 h,同时有RDW检测记录的成年患者。根据RDW预测病死率的最佳cut-off值(14.55%)将研究对象分为低RDW组(RDW <14.55%)及高RDW组(RDW≥14.55%),比较两组的病死率,进一步使用单因素及多因素Logistic回归和Cox回归分析评估RDW与病死率的关系。结果本研究最终共有13 822例患者入组。高RDW组的医院病死率、ICU病死率、28 d病死率及1年病死率均高于低RDW组(分别为19.73%vs.8.42%,15.04%vs.6.65%,22.68%vs.9.12%,36.22%vs.14.45%,均P <0.001)。RDW作为连续变量,多因素分析结果显示,RDW越高,医院病死率(OR=1.227,95%CI 1.190~1.265)、ICU病死率(OR=1.180,95%CI 1.141~1.220)、28 d病死率(HR=1.161,95%CI 1.138~1.185)和1年病死率(HR=1.177,95%CI 1.159~1.195)越高。分组后回归分析结果显示,与低水平RDW组相比,高水平RDW组患者的医院病死率增加0.912倍(OR=1.912,95%CI 1.683~2.172),ICU病死率增加0.673倍(OR=1.673,95%CI 1.452~1.928),28 d病死率增加0.850倍(HR=1.850,95%CI 1.675~2.043),1年病死率增加1.045倍(HR=2.045,95%CI 1.891~2.212),且存在统计学意义(P <0.001)。结论入ICU首次RDW增高是危重症患者死亡的危险因素。     

Does urinary tract infection caused by extended-spectrum β-lactamase-producing Escherichia coli show same antibiotic resistance when it recurs?

This study was performed to evaluate what percentage of urinary tract infections (UTIs) caused by extended spectrum β-lactamase (ESBL)-producing strains recurs with ESBL-producing strains during follow up and to assess the risk factors for recurrence with ESBL-producing Escherichia coli strains on subsequent first recurrence episode. We enrolled female patients with UTIs caused by ESBL-producing E. coli between May 2012 and December 2015, who were longitudinally followed up for at least 24 months. Among the 206 patients with ESBL positive UTI, 180 completed the study. 60 (60/180, 33.3%) of patient with first episode of UTI caused by ESBL-producing E. coli experienced recurrent UTIs during follow up. Of 60 patients, 43 (43/60, 71.7%) recurred with ESBL-producing E. coli on the first UTI recurrence episode. On multivariate analysis, the time to recurrence and history of cephalosporin usage in the last 6 months were identified as risk factors for recurrence with ESBL-producing E. coli per se (odds ratio [OR] = 0.9, 95% confidence interval [CI] 0.8–1.0, p = 0.030 and OR = 27.0, 95% CI 2.4–299.8, p = 0.007, respectively). These findings show that high proportion of patient with UTI caused by ESBL-producing E. coli recurs with ESBL-producing E. coli on subsequent recurrence episode. While result of antibiotic susceptibility cannot be identified on the visit day empirical treatment should be referred to the antecedent antibiotic resistance profile in patients whose previous UTIs were due to ESBL-producing strains.