A case-control analysis of readmissions to the cardiac surgical intensive care unit.

OBJECTIVE: To identify predictors of requirement for readmission to the intensive care unit (ICU) for patients undergoing cardiac surgery. METHODS: The setting was a 17-bedded ICU in a tertiary level institute for specialist adult cardiorespiratory disease. The case notes and ICU charts of 65 ICU readmissions and 65 controls, matched for day of initial ICU discharge, were analysed. Patient variables assessed included preoperative risk stratification, ICU admission APACHE III score and intensive therapy interventions, complications and indication for readmission if readmitted. RESULTS: Twenty of 65 patients (31%) readmitted to the cardiac ICU died, compared with no mortality among the control group. Significant univariate determinants of ICU readmission (odds ratio, 95% confidence interval) included worse angina (1.38, 0.99-1.91) and dyspnoea (1.70, 1.10-2.61) classes and corresponding non-elective surgery (2.04, 1.31-3.19), higher Parsonnet score (1.06, 1.01-1.11) or EuroSCORE (1.14, 1.01-1.28), APACHE III score (1.03, 1.00-1.05), body mass index>27 (4.25, 1.43-12.63), non-usage of beta-blockers (1.53, 1.03-2.26), emergency resternotomy (5.00, 1.10-22.79), and lower haemoglobin (0.75, 0.58-0.96), higher required inspiratory oxygen (1.05, 1.02-1.08), and higher respiratory rate upon ICU discharge (1.09, 1.01-1.18). Renal failure, respiratory failure and cardiac arrest were the most common indications for ICU readmission. Thirty-five of 65 patients readmitted to the ICU required ventilation for a mean of 7.1 days. The mean ICU readmission duration for all 65 cases was 5.7 days. CONCLUSIONS: Readmission of cardiac surgical patients to the ICU is associated with high morbidity and mortality, and substantial resource consumption. Parsonnet or EuroSCORE risk stratification models in combination with obesity, operative urgency, resternotomy and respiratory indices at time of intended ICU discharge are strongly associated with readmission to ICU.     

Impact of a critical care outreach team on critical care readmissions and mortality

AIMS: The aim of a critical care outreach team is to facilitate discharges from critical care beds, educate ward staff in the management of deteriorating patients, facilitate transfer to critical care and reduce readmission rates to critical care. Although intuitively a good idea, there are few data to support outreach in terms of reducing the readmission rate to critical care and subsequent patient mortality. This retrospective observational study attempted to determine the change in the critical care readmission rate, an indicator of the quality of critical care, critical care mortality and in-hospital mortality following the introduction of a critical care outreach team in a major teaching hospital. METHODS: A retrospective review of 1380 discharges from critical care was undertaken and the readmissions identified (n = 176). Readmission rate, mortality and other demographic data were compared between the pre and post-outreach periods. RESULTS: Critical care mortality, in-hospital mortality and 30-day mortality were all reduced in the post-outreach period amongst readmissions to critical care. There was also a decease in the overall mortality of all patients admitted to critical care. There were no apparent causative factors for this reduction in mortality before and following outreach. CONCLUSIONS: There are many confounding factors in assessing the impact of outreach teams in hospitals. This study tentatively concludes that outreach teams may have a favourable impact on mortality rate amongst readmissions to critical care, but more data is needed from multicentre trials.     

The Riyadh Intensive Care Program applied to a mortality analysis of a teaching hospital intensive care unit

A computerised system of prediction of death using the Riyadh Intensive Care Program was applied retrospectively over a 17-month period to data collected prospectively on 1155 patients admitted to our intensive care unit. Variables which enable organ failure scores to be generated were recorded daily to make these predictions. Consultant medical opinion predicted that outcome was hopeless in 55% (115/209) of the patients who died. The predictive power of the computer demonstrated a sensitivity of 14.8% and a specificity of 99.8%. It is possible that the occurrence of three false predictions of death in the latter part of the series may have been related to a change in our antibiotic policy. We would be unhappy to recommend the general use of a computerised program for prediction of death without careful explanation of its significance and dangers.     

Development of renal failure during the initial 24 h of intensive care unit stay correlates with hospital mortality in trauma patients

BACKGROUND: Although multiple organ failure is the leading late cause of death, there is controversy about the impact of acute organ dysfunction and failure on trauma survival. METHODS: Consecutive adult trauma admissions between January 2000 and June 2003, excluding isolated head traumas and burns, were analysed for parameters of organ function during the first 24 h following intensive care unit (ICU) admission using the Sequential Organ Failure Assessment (SOFA) scoring system. A national prospectively collected ICU data registry was used for analysis, including data from 22 ICUs in university and central hospitals in Finland. RESULTS: The study population consisted of 1044 eligible trauma admissions; 32% of the cases were treated at university hospital level, the rest being secondary referral central hospital admissions. The mean Acute Physiology and Chronic Health Evaluation (APACHE) II score was 15 (SD8), ICU mortality was 5.6% and a further 1.6% of patients died during their post-ICU hospital stay. Forty-five per cent of the patients were categorized as having multiple traumas. In univariate analysis, APACHE II > or = 25 [odds ratio (OR), 35; 95% confidence interval (CI), 18-66] and renal failure (OR, 29.5; 95% CI, 14-63) produced the highest ORs for ICU mortality. In the APACHE II-, sex- and age-adjusted logistic regression model, renal failure was a significant risk factor for both ICU and hospital mortality (OR, 11.8; 95% CI, 3.9-35.4; OR, 8.2; 95% CI, 2.9-23.2, respectively). CONCLUSION: The development of renal failure during the initial 24 h of ICU stay remained an independent risk factor for mortality in trauma patients requiring intensive care treatment even after adjusting for the APACHE II score, age and sex.     

Readmission to surgical intensive care increases severity-adjusted patient mortality

BACKGROUND: This study aims to determine whether severity-adjusted outcomes including mortality are adversely impacted by readmission to a surgical intensive care unit (SICU) during the same hospital stay. METHODS: The study included all patients admitted to the 20-bed tertiary care SICU in an urban teaching Level I trauma center and multiorgan transplant center from January 1, 1996 to December 31, 2001. This was a prospective observational study with secondary data analysis. Acute Physiology and Chronic Health Evaluation (APACHE II) and Simplified Acute Physiology (SAPS) severity scores were calculated by a clinical information system. Outcomes were extracted from a computerized data warehouse. RESULTS: In-hospital mortality and SICU length of stay (LOS) were measured for patients admitted and readmitted to the SICU. Of 10,840 patients admitted to the SICU, 296 (2.73%) required readmission to the SICU during the same hospital stay. The length of the original SICU stay was 4.9 +/- 6.7 days for readmitted patients compared with 3.2 +/- 6.0 days for nonreadmitted patients (p < 0.001). Readmitted patients had a higher mean APACHE II score on the day of original SICU discharge compared with nonreadmitted patients, 15.7 +/- 6.7 versus 13.8 +/- 7.1 (p < 0.001). The average APACHE II score increased from 15.7 +/- 6.7 to 18.1 +/- 8.6 between the day of SICU discharge and readmission (p < 0.001) and SAPS increased from 12.2 +/- 4.8 to 13.5 +/- 5.4 (p < 0.001). The distributions of severity-adjusted hospital mortality for both APACHE II and SAPS revealed that readmission to the SICU significantly increased mortality independent of the admission severity score. CONCLUSIONS: Readmission to the SICU significantly increases the risk of death beyond that predicted by the APACHE II or SAPS scores alone. Higher APACHE II and SAPS scores upon discharge from the SICU and longer SICU LOS are associated with an increased incidence of readmission to the SICU on the same hospital stay. These results may be used to optimize the timing of SICU discharge and reduce the chance of readmission to intensive care.     

Diabetes patients and non-diabetic patients intensive care unit and hospital mortality risks associated with sepsis

AIM:To compare mortality risks associated with known diabetic patients to hyperglycemic non-diabetic patients.METHODS:PubMed data base was searched for patients with sepsis,bacteremia,mortality and diabetes.Articles that also identified new onset hyperglycemia (NOH) (fasting blood glucose125 mg/dL or random blood glucose199 mg/dL) were identified and reviewed.Nine studies were evaluated with regards to hyperglycemia and hospital mortality and five of the nine were summarized with regards to intensive care unit (ICU) mortality.RESULTS:Historically hyperglycemia has been believed to be equally harmful in known diabetic patients and non-diabetics patients admitted to the hospital.Unexpectedly,having a history of diabetes when admitted to the hospital was associated with a reduced risk of hospital mortality.Approximately 17% of patients admitted to hospital have NOH and 24% have diabetes mellitus.Hospital mortality was significantly increased in all nine studies of patients with NOH as compared to known diabetic patients (26.7%±3.4% vs 12.5% ±3.4%,P0.05;analysis of variance).Unadjusted ICU mortality was evaluated in five studies and was more than doubled for those patients with NOH as compared to known diabetic patients (25.3%±3.3% vs 12.8%±2.6%,P0.05) despite having similar blood glucose concentrations.Most importantly,having NOH was associated with an increased ICU and a 2.7-fold increase in hospital mortality when compared to hyperglycemic diabetic patients.The mortality benefit of being diabetic is unclear but may have to do with adaptation to hyperglycemia over time.Having a history of diabetes mellitus and prior episodes of hyperglycemia may provide time for the immune system to adapt to hyperglycemia and result in a reduced mortality risk.Understanding why diabetic patients have a lower than expected hospital mortality rate even with bacteremia or acute respiratory distress syndrome needs further study.CONCLUSION:Having hyperglycemia without a history of previous diabetes mellitus is a major independent risk factor for ICU and hospital mortality.     

Paediatric admissions to a district general hospital intensive care unit

The characteristics of all the paediatric admissions made to a district general hospital over a three-year period were analysed in this study. Paediatric admissions averaged 23 per year (10% of the total admissions to the unit over that time). The mean age was six years, median age was four years. Sixty-two per cent were medical admissions and 38% surgical. Forty-seven per cent of the surgical admissions involved head injuries. Seventy-four per cent of medical admissions were directly related to upper and lower airway problems. Mean total admission time was six days, with a median of two days. Fifty-nine per cent (40) of all cases required intubation for a mean period of five days (median = three days). All cases were PRISM scored (Pollack, Ruttimann & Getson 1988). The mean score was 8. Ninety-four percent of admissions surviving to go home. There were a total of four deaths over the three-year period. The PRISM scores of those who died had a mean of 30, which was significantly different (P < 0.05) from the survivors who had a mean PRISM score of six and a median of four. The organs of one of the nonsurvivors were transplanted. Currently there is considerable interest in the feasibility of transferring all paediatric intensive care patients to a regional centre, the consequences of such a policy must be carefully assessed if its implementation is to be a success.     

Diagnosis of acid-base derangements and mortality prediction in the trauma intensive care unit: the physiochemical approach

BACKGROUND: Conventional measures such as anion gap and base deficit can be inadequate for defining and managing complex acid-base derangements. Physiochemical analysis is an alternative approach based on the principles of electroneutrality and conservation of mass, and may be more accurate for defining the presence and type of acidosis and unmeasured anions. METHODS: We retrospectively analyzed 2,152 sets of laboratory data from 427 trauma patients admitted to the intensive care unit. All data sets included simultaneous measurements of an arterial blood gas with base deficit (BD), serum electrolytes, albumin, lactate, and a calculated anion gap (AG). Physiochemical analysis was used to calculate the corrected anion gap (AGcorr), the apparent strong ion difference, the effective strong ion difference, the strong ion gap (SIG), and the base deficit corrected for unmeasured anions (BDua). Statistical analysis comparing AG and BD to the physiochemical measures was performed on all data and the subset of admission laboratory data only (n = 427). RESULTS: Unmeasured anions as defined by an elevated SIG were present in 92% of patients (mean SIG, 5.9 +/- 3.3), whereas hyperlactatemia and hyperchloremia were present in only 18% and 21%, respectively. The physiochemical approach yielded a different clinical interpretation of the acid-base status than the conventional approach in 597 (28%) of the data sets. Lactate level was more strongly correlated with the physiochemical measures of SIG (r = 0.48) and AGcorr (r = 0.47) than with the conventional measures of AG (r = 0.24) and BD (r = 0.36, p < 0.01 for all). Both admission BD and BDua were significantly elevated in nonsurvivors, and logistic regression analysis for prediction of mortality revealed an area under the curve of 0.70 for BDua (p < 0.01) versus 0.65 for BD (p < 0.01). AGcorr and SIG did not differentiate survivors from nonsurvivors in the group as a whole. However, analysis of patients with a normal admission lactate level (n = 322) demonstrated a significant difference between survivors and nonsurvivors in SIG (7 vs. 5, p = 0.009), BDua (-4.2 vs. -2.0, p = 0.004), and AGcorr (21 vs. 19, p = 0.04), whereas the conventional measures of BD and AG showed no significant discriminatory ability. CONCLUSION: Unmeasured anions are the most common component of metabolic acidosis in trauma intensive care unit patients. The physiochemical approach can significantly alter the acid-base diagnosis compared with conventional measures. The SIG, AGcorr, and BDua may be particularly helpful in predicting acid-base derangements and mortality in patients with normal serum lactate levels.     

肿瘤专科医院ICU轮转护士的专科化培训

目的探讨专科化培训模式对于肿瘤专科医院中ICU轮科护士培训的实践效果。方法将48名新护士随机分为两组各24名,对照组采用常规一对一带教,观察组采用集中培训与一对一培训相结合的方式进行规范化培训。6个月后进行理论与操作考试。结果观察组理论和操作考核成绩显著高于对照组(均P<0.01)。结论对ICU轮转护士进行规范化培训可为培养实用型全能型护理人才奠定基础,显著效果。