Quality of life 9 years after an intensive care unit stay: a long-term outcome study

Purpose

The purpose of the study was to assess long-term mortality after an intensive care unit (ICU) stay and to test the hypotheses that (1) quality of life improves over time and (2) predictions of outcome made by caregivers during an ICU stay are reliable.

Materials and methods

Data from a 6-bed university medical ICU were reviewed. Telephone assessment of mortality and interviews/questionnaires 9 years after an ICU stay were performed. Comparison of caregivers' predictions of survival/quality of life with reported outcome was done.

Results

Of 409 patients surviving 6 months after ICU, 334 were included and 146 of these had died. Age, diagnostic group, and severity of illness were significant factors for mortality (P < .0001 for all 3). Of all survivors, 59% described their overall quality of life as good and 35% as fair. Physical dependency was significantly related to length of hospital stay (P < .01), whereas quality of life was related to admission age (P < .05). Caregivers' predictions concerning both survival and quality of life seemed reliable, with physicians' predictions being more reliable than nurses' (P < .05).

Conclusions

Mortality is high 9 years after ICU stay. Quality of life may deteriorate for some individuals; however, overall quality of life for most survivors remains acceptable and may even improve. Long-term outcome predictions made by caregivers during the ICU stay seem accurate.     

The use of intensive care information systems alters outcome prediction

Objective: To study the effect of using an Intensive Care Information System (ICIS) on severity scores and prognostic indices: Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score II (SAPS II), and Mortality Probability Models II (MPM II). Design: Prospective pilot study. Setting: A 20-bed medical-surgical intensive care unit (ICU) in a teaching hospital. Patients: 50 consecutive adult patients admitted to the ICU on a bed equipped with an ICIS. Interventions: None. Measurements and results: In each patient all the physiologic variables, as required by the severity scores, were both manually charted and recorded by ICIS. ICIS registration resulted in the extraction of more abnormal values for all physiologic variables (except temperature): p < 0.05. Higher severity scores and mortality prediction were achieved by using ICIS charting: predicted mortality increased by 15 % for APACHE II compared to manual charting, 25 % for SAPS II, and 24 % for MPM₀. ICIS charting resulted in higher severity scores and mortality prediction for 29 of the 50 patients using APACHE II with a mean increase in mortality prediction in this subgroup of 27 %. In the case of SAPS II, ICIS charting resulted in higher scores in 23 of the 50 patients and in the case of MPM₀ in 13 patients, the mean increase in mortality in these subgroups being 64 and 148 %, respectively. Conclusions: The use of ICIS charting to acquire the most abnormal physiologic values for severity scores and the derived prognostic indices results in a higher mortality prediction. Comparison of groups of patients and/or ICUs based on severity scores is impossible without standardization of data collection. The mortality prediction models have to be revalidated for the use of ICIS charting. While awaiting this, we suggest that every patient record in local regional, national, or international ICU databases should be marked as being recorded by manual or by ICIS charting. Received: 16 December 1997 Accepted: 11 June 1998     

Evaluation of the SOFA score: a single-center experience of a medical intensive care unit in 303 consecutive patients with predominantly cardiovascular disorders

Objective: To evaluate the use of the Sequential Organ Failure Assessment (SOFA) score, the total maximum SOFA (TMS) score, and a derived variable, the ΔSOFA (TMS score minus total SOFA score on day 1) in medical, cardiovascular patients as a means for describing the incidence and severity of organ dysfunction and the prognostic value regarding outcome. Design: Prospective, clinical study. Setting: Medical intensive care unit in a university hospital. Patients: A total of 303 consecutive patients were included (216 men, 87 women; mean age 62 ± 12.6 years; SAPS II 26.2 ± 12.7). They were evaluated 24 h after admission and thereafter every 24 h until ICU discharge or death between November 1997 and March 1998. Readmissions and patients with an ICU stay shorter than 12 h were excluded. Main outcome measure: Survival status at hospital discharge, incidence of organ dysfunction/failure. Interventions: Collection of clinical and demographic data and raw data for the computation of the SOFA score every 24 h until ICU discharge. Measurements and main results: Length of ICU stay was 3.7 ± 4.7 days. ICU mortality was 8.3 % and hospital mortality 14.5 %. Nonsurvivors had a higher total SOFA score on day 1 (5.9 ± 3.7 vs. 1.9 ± 2.3, p < 0.001) and thereafter until day 8. High SOFA scores for any organ system and increasing number of organ failures (SOFA score ≥ 3) were associated with increased mortality. Cardiovascular and neurological systems (day 1) were related to outcome and cardiovascular and respiratory systems, and admission from another ICU to length of ICU stay. TMS score was higher in nonsurvivors (1.76 ± 2.55 vs. 0.58 ± 1.39, p < 0.01), and ΔSOFA/total SOFA on day 1 was independently related to outcome. The area under the receiver-operating characteristic curve was 0.86 for TMS, 0.82 for SOFA on day 1, and 0.77 for SAPS II. Conclusions: The SOFA, TMS, and ΔSOFA scores provide the clinician with important information on degree and progression of organ dysfunction in medical, cardiovascular patients. On day 1 both SOFA score and TMS score had a better prognostic value than SAPS II score. The model is closely related to outcome and identifies patients who are at increased risk for prolonged ICU stay. Received: 6 August 1999 Final revision received: 3 January 2000 Accepted: 28 March 2000     

Impact of standard procedures and clinical standards on cost-effectiveness and intensive care unit performance in adult patients after cardiac surgery

Objective: To investigate the impact of organizational procedures on intensive care unit (ICU) performance and cost-effectiveness after cardiac surgery. Design: Prospective study. Setting: Cardiothoracic ICU at a university hospital. Patients: Thousand five hundred twenty-six consecutive patients over a period of 18 months. Interventions: The first 6 months were used as the control period. Afterwards selected organizational changes were introduced, such as written standard procedures, time schedules and discharge reports. Measurements: Demographic data, surgical procedures, length of ICU and hospital stay and hospital outcome were recorded. Severity of illness was assessed daily using Acute Physiology and Chronic Health Evaluation (APACHE II), Simplified Acute Physiology Score (SAPS II) and Organ Failure Score (OFS). Intensity of treatment and nursing care was monitored by the Therapeutic Intervention Scoring System (TISS). RIYADH ICU Program (RIP 5.0) was used to determine the relationship of observed to predicted mortality (standardized mortality ratio SMR) and the effective costs per survivor. Main results: SMR decreased continuously after the establishment of new management procedures while all other factors all other factors remained unchanged. Comparing outcome according to APACHE II on ICU admission demonstrated a significantly increased ICU performance in high risk patients with an APACHE II of 20–30 points (p < 0.05) while effective costs per survivor decreased significantly from DM 29,988 to DM 13,568 DM (p < 0.05). Conclusions: Organizational changes can improve ICU performance and cost-effectiveness after cardiac surgery. The RIP may be used to monitor the clinical and economical effects of change. Received: 16 December 1998 Accepted: 28 July 1999     

After-hours admissions are not associated with increased risk-adjusted mortality in pediatric intensive care

Objective To examine the influence of time of admission on risk-adjusted mortality and length of stay for nonelective patients admitted to a pediatric intensive care unit (ICU) without 24-h per day in-house intensivist coverage. Design Data analyzed came from a comprehensive, prospectively collected ICU database. Setting A 12-bed pediatric ICU located in a university-affiliated tertiary referral children's hospital. Patients Subjects consisted of 4,456 consecutive nonelective patients admitted over a 10-year period (1997–2006). Interventions None. Measurements and results Patients were categorized according to time of admission to the ICU as either in-hours (0800–1800 Monday–Friday and 0800–1200 on weekends), when an intensivist is present in the ICU, or after-hours (all other times), when intensivists attend only on an as-needed basis. Multivariate logistic regression was used to assess the effect of time of admission on outcome after adjustment for severity of illness using the Paediatric Index of Mortality (PIM). Patients admitted after hours had a lower risk-adjusted mortality than those admitted during normal working hours, with an odds ratio for death of 0.712 (95% confidence interval 0.518–0.980, p = 0.037). Length of stay was also significantly shorter for patients admitted after hours (44.05 h vs. 50.0 h, p = 0.001). Conclusions A lack of in-house intensivist presence is not associated with any increase in mortality or length of stay for patients admitted to our pediatric ICU; on the contrary, after-hours admission in this cohort was associated with a decreased risk-adjusted mortality and a shorter length of stay.     

Acute renal failure in the ICU: risk factors and outcome evaluated by the SOFA score

Objectives: To describe risk factors for the development of acute renal failure (ARF) in a population of intensive care unit (ICU) patients, and the association of ARF with multiple organ failure (MOF) and outcome using the sequential organ failure assessment (SOFA) score. Design: Prospective, multicenter, observational cohort analysis. Setting: Forty ICUs in 16 countries. Patients: All patients admitted to one of the participating ICUs in May 1995, except those who stayed in the ICU for less than 48 h after uncomplicated surgery, were included. After the exclusion of 38 patients with a history of chronic renal failure requiring renal replacement therapy, a total of 1411 patients were studied. Measurements and results: Of the patients, 348 (24.7 %) developed ARF, as diagnosed by a serum creatinine of 300 μmol/l (3.5 mg/dl) or more and/or a urine output of less than 500 ml/day. The most important risk factors for the development of ARF present on admission were acute circulatory or respiratory failure; age more than 65 years, presence of infection, past history of chronic heart failure (CHF), lymphoma or leukemia, or cirrhosis. ARF patients developed MOF earlier than non-ARF patients (median 24 vs 48 h after ICU admission, p < 0.05). ARF patients older than 65 years with a past history of CHF or with any organ failure on admission were most likely to develop MOF. ICU mortality was 3 times higher in ARF than in other patients (42.8 % vs 14.0 %, p < 0.01). Oliguric ARF was an independent risk factor for overall mortality as determined by a multivariate regression analysis (OR = 1.59 [CI 95 %: 1.23–2.06], p < 0.01). Infection increased the risk of death associated with all factors. Factors that increased the ICU mortality of ARF patients were a past history of hematologic malignancy, age more than 65 years, the number of failing organs on admission and the presence of acute cardiovascular failure. Conclusion: In ICU patients, the most important risk factors for ARF or mortality from ARF are often present on admission. During the ICU stay, other organ failures (especially cardiovascular) are important risk factors. Oliguric ARF was an independent risk factor for ICU mortality, and infection increased the contribution to mortality by other factors. The severity of circulatory shock was the most important factor influencing outcome in ARF patients. Received: 9 August 1999/Final revision received: 24 January 2000/Accepted: 6 April 2000     

Severe head injury patients in a multidisciplinary ICU: are they a burden?

Objective: Patients with severe head injury (HI) are often considered to be a burden in a multidisciplinary intensive care unit (ICU). This study was undertaken to compare the severe closed HI patients with all other patients in the ICU in terms of age group involved, stay in the unit, complications and outcome. Design: Retrospective analysis. Setting: Multidisciplinary ICU of a tertiary care hospital in Northern India. Patients and participants: All the patients admitted to the ICU between January 1995 and December 1997. The patients were classified into two groups: group A comprising patients with severe closed HI and group B consisting of all other patients. Results: The mean age of the patients was around 30 years in both the groups. The average stay of the patients in the unit was 12.71 ± 11.9 days in group A, compared to 9.9 ± 14.4 days for group B (p < 0.05). The duration on the ventilator or on an endotracheal airway was not different between the groups (p > 0.05). The mortality in group A was 46.8 % and that in group B was 38.5 % (p > 0.05). The mortality was directly proportional to the age in group A. Hypotension, renal failure and septicaemia were the commonest complications in both the groups but the difference was not statistically significant. Conclusions: This study demonstrates that patients with severe HI do not pose an extra burden in a multidisciplinary ICU. Received: 8 February 1999 Final revision received: 30 April 1999 Accepted: 10 May 1999     

Elimination of daily routine chest radiographs in a mixed medical–surgical intensive care unit

Objective To determine the impact of elimination of daily routine chest radiographs (CXRs) in a mixed medical–surgical intensive care unit (ICU) on utility of on demand CXRs, length of stay (LOS) in ICU, readmission rate, and mortality rate. Design and setting Prospective, nonrandomized, controlled study in a 28-bed ICU. Analysis included data of all admitted ICU patients during 5 months before and after elimination of daily routine CXRs. Results Before elimination, 2457 daily routine CXRs and 1437 on demand CXRs were obtained from 754 patients. After elimination, 1267 CXRs were obtained from 622 patients. The ratio of CXRs/patient day decreased from 1.1 ± 0.3 to 0.6 ± 0.4 (p < 0.05). Elimination did not result in a change in utility and timing of on demand CXRs. The absolute diagnostic and therapeutic value of on demand CXRs increased with elimination of daily routine CXRs: before intervention, 147 unexpected predefined abnormalities were found (10.2% of all on demand CXRs in 15.9% of all patients), of which 57 (3.9%) in 6.4% of all patients led to a change in therapy. After intervention, 156 unexpected predefined abnormalities were found (11.6%; p < 0.05), of which 61 (4.8%) in 9.5% of all patients (p < 0.05) led to a change in therapy. The LOS in ICU, readmission rate and ICU, and hospital mortality rate were not influenced by the change in strategy. Conclusions Elimination of daily routine CXRs reduced the number of CXRs in a mixed medical–surgical ICU, while not affecting readmission rate and ICU and hospital mortality rates. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users     

Prognosis of stroke patients undergoing mechanical ventilation

Objective To determine the outcome of stroke patients undergoing mechanical ventilation. Design Retrospective chart review and follow-up telephone interview. Setting Medical ICU in a multidisciplinary university hospital. Patients and participants 199 stroke patients from 1984–1989 where the final diagnosis was stroke. Interventions All patients were admitted for the need of mechanical ventilation. Measurements and results Demographic information, previous relevant diseases, stroke type, general clinical and neurological data, biochemical variables, severity of illness were recorded for the first 24 h following ICU admission. A 1-year follow-up was performed, including mortality and functional status of survivors. Of 170 eventually analyzable patients, 123 (72.4%) died during their ICU stay and 156 (91.8%) during the first year. Three variables were independently associated with one-year mortality: Glasgow score <10 (p<0.03), bradycardia (p<0.001), absence of brainstem reflexes (p<0.0004). Conclusion Overall prognosis of stroke needing mechanical ventilation is poor, strongly linked to symptoms of neurological impairment.     

Procalcitonin (PCT) is useful in predicting the bacterial origin of an acute circulatory failure in critically ill patients

Objective To evaluate the accuracy of procalcitonin (PCT) in predicting bacterial infection in ICU medical and surgical patients. Setting A 10-bed medical surgical unit. Design PCT, C-reactive protein (CRP), interleukin 6 (IL-6) dosages were sampled in four groups of patients: septic shock patients (SS group), shock without infection (NSS group), patients with systemic inflammatory response syndrome related to a proven bacterial infection (infect. group) and ICU patients without shock and without bacterial infection (control group). Results Sixty patients were studied (SS group:n=16, NSS group,n=18, infect. group,n=16, control group,n=10). The PCT level was higher in patients with proven bacterial infection (72±153 ng/ml vs 2.9±10 ng/ml,p=0.0003). In patients with shock, PCT was higher when bacterial infection was diagnosed (89 ng/ml±154 vs 4.6 ng/ml±12,p=0.0004). Moreover, PCT was correlated with severity (SAPS:p=0.00005, appearance of shock:p=0.0006) and outcome (dead: 71.3 g/ml, alive: 24.0 g/ml,p=0.006). CRP was correlated with bacterial infection (p<10⁻⁵) but neither with SAPS nor with day 28 mortality. IL-6 was correlated with neither infection nor day 28 mortality but was correlated with SAPS. Temperature and white blood cell count were unable to distinguish shocked patients with or without infection. Finally, when CRP and PCT levels were introduced simultaneously in a stepwise logistic regression model, PCT remained the unique marker of infection in patients with shock (PCT≥5 ng/ml, OR: 6.2, 95% CI: 1.1–37,p=0.04). Conclusion The increase of PCT is related to the appearance and severity of bacterial infection in ICU patients. Thus, PCT might be an interesting parameter for the diagnosis of bacterial infections in ICU patients.     

A prospective study of fever in the intensive care unit

Objective: To determine the epidemiology of fever on the intensive care unit (ICU). Design: Prospective, observational study. Setting: Nine-bed general ICU in a 500-bed tertiary care inner city institution. Patients: 100 consecutive admissions of 93 patients over a 4-month period between July and October 1996. Interventions: All patients were seen and examined by one investigator within 24 h of ICU admission. Patients were followed up on a daily basis throughout their ICU stay, and all clinical and laboratory data were recorded during the admission. Measurements and results: Fever (core temperature ≥ 38.4 °C) was present in 70 % of admissions, and it was caused by infective and non-infective processes in approximately equal number. Most fevers occurred early in the course of the admission, within the first 1–2 days, and most lasted less than 5 days. The median Acute Physiology and Chronic Health Evaluation (APACHE) II score was 15 ( ± 0.6). The 70 episodes associated with fever at any time were associated with a significantly higher APACHE II score on admission than the afebrile episodes (15.8 ± 6.1 vs 12.1 ± 6.7, p = 0.04). The most common cause of non-infective fever was in the group designated post-operative fever (n = 34). All the patients in the post-operative fever group were febrile on day 0 or day 1; their mean admission APACHE score was 12.4 ( ± 4.4) compared to 15.9 ( ± 7.1) for the remaining patients (p = 0.01). Fever alone was not associated with a higher mortality: 26/70 (37 %) of febrile patients died, compared to 8/30 (27 %) of afebrile patients, (χ ² = 1.23, p = 0.38). Prolonged fever ( > 5 days) occurred in 16 patients. In 13 cases, fever was due to infection, and in the remaining 3 both infective and non-infective processes occurred concurrently. The mortality in the group with prolonged fever was 62.5 % (10/16) compared to 29.6 % (16/54) in patients with fever of less than 5 days' duration, a highly significant difference (p < 0.0001). Conclusions: Fever is a common event on the intensive care unit. It usually occurs early in the course, is frequently non-infective and is often benign. Prolonged fever is associated with a poor outcome. Post-operative fever is a well-recognised but poorly defined syndrome which requires further study. Received: 29 December 1998 Final revision received: 16 March 1999 Accepted: 14 April 1999     

Intensive care 1980–1995: change in patient characteristics, nursing workload and outcome

Objective: To assess temporal changes in patient characteristics, nursing workload and outcome of the patients and to compare the actual amount of available nursing staff with the estimated needs in a medical-surgical ICU. Design: Retrospective analysis of prospectively collected data. Setting: A medical-surgical adult intensive care unit (ICU) in a Swiss university hospital. Patients: Data of all patients staying in the ICU between January 1980 and December 1995 were included. Interventions: None. Measurements and results: The estimated number of nurses needed was defined according to the Swiss Society of Intensive Care Medicine (SGI) grading system: category I = one nurse/patient/shift ( = 8 h), category II = one nurse/two patients/shift, category III = one nurse/three patients/shift. An intervention score (IS) was obtained, based on a number of specific activities in the ICU. There was a total of 35,327 patients (32 % medical and 68 % postoperative/trauma patients). Over time, the number of patients per year increased (1980/1995: 1,825/2,305, p < 0.001) and the length of ICU stay (LOS) decreased (4.1/3.8 days, p < 0.013). There was an increase in the number of patients aged > 70 years (19 %/28 %, p < 0.001), and a decrease in the number of patients < 60 years (58 % /41 %, p < 0.001). During the same time period, the IS increased two-fold. Measurement of nursing workload showed an increase over time. The number of nursing days per year increased (1980/1995: 7454/8681, p < 0.019), as did the relative amount of patients in category I (49 %/71 %, p < 0.001), whereas the portion of patients in category II (41 %/28 %, p < 0.019) and category III (10 %/0 %) decreased. During the same time period, mortality at ICU discharge decreased (9.0 %/7.0 %, p < 0.002). Conclusions: During the last 16 years, there has been a marked increase in workload at this medical-surgical ICU. Despite an increase in the number of severely sick patients (as defined by the nursing grading system) and patient age, ICU mortality and LOS declined from 1980 to 1995. This may be ascribed to improved patient treatment or care. Whether an increasingly liberal discharge policy (transfer to newly opened intermediate care units, transfer of patients expected to die to the ward) or a more rigorous triage (denying admission to patients with a very poor prognosis) are confounding factors cannot be answered by this investigation. The present data provide support for the tenet that there is a trend toward more complex therapies in increasingly older patients in tertiary care ICUs. Calculations for the number or nurses needed in an ICU should take into account the increased turnover of patients and the changing patient characteristics. Received: 30. April 1997 / Accepted: 8 August 1997     

Predictive factors of intensive care unit admission in patients with haematological malignancies and pneumonia

Objective To describe early signs at the onset of pneumonia occurring in the haematology ward which could be associated with a transfer to the ICU.Design A 13-month preliminary prospective observational cohort study.Setting Department of haematology and (32-bed) medical intensive care unit (ICU).Patients Fifty-three of 302 patients hospitalised in the haematology ward who developed presumptive clinical evidence of pneumonia were enrolled.Measurements and results At the onset of the clinical evidence of pneumonia (day 1), we compared variables between patients requiring an ICU admission and those who did not. Twenty-four patients (45%) required a transfer to the ICU. Factors associated with ICU admission were: numbers of involved quadrants: 2.3 vs 1, P=0.001 and oxygenation parameters (initial level of O₂ supplementation: 3.5 vs 0.9 l/min, P<0.05), the presence of hepatic failure (58% vs 10%, P<0.01), Gram-negative bacilli isolated in blood culture (7 vs 1, P=0.01). In the multivariate analysis, a decrease of 10% in the SaO₂ and the requirement of nasal supplementary O₂ at the onset of acute respiratory failure increased the risk of admission to MICU, respectively, by 18 and by 14. The overall 6-month mortality rate of the 53 patients was 28%.Conclusion Parameters of oxygenation and radiological score could be associated with this transfer on day 1 of the onset of pneumonia occurrence. A further study should evaluate an earlier selection of this type of patient, followed by an early admission to the MICU, in order to improve ICU outcome.     

Influence of mechanical ventilation on blood lactate in patients with acute respiratory failure

Objectives: To determine whether mechanical ventilation (MV) may affect blood lactate concentration in patients with acute respiratory failure. Design: Prospective observational study with follow-up to hospital discharge. Setting: A 17-bed medical and coronary intensive care unit in a 650-bed general hospital. Patients: 55 adult patients mechanically ventilated for acute respiratory failure between May 1996 and April 1997 were recruited. Measurements and results: Arterial blood samples for determination of plasma lactate and blood gas analysis were taken just before tracheal intubation on spontaneous breathing, and 20 and 60 min after the initiation of controlled MV. Cuff systemic arterial pressure was measured before tracheal intubation and every 10 min during the first h of MV. Hyperlactatemia (arterial blood lactate ≥ 2 mmol/l) was present in 21 of the 55 patients studied. After 20 min of MV, there was a decrease in blood lactate from 4.74 ± 1.78 to 3.07 ± 1.69 mmol/l (p < 0.01); 40 min later there was a further decrease to 2.63 ± 1.35 mmol/l (p < 0.05). The decrease in blood lactate was also observed in those patients who after starting MV developed systemic arterial hypotension (p < 0.01). In patients with a normal lactate concentration at the entry to the study, lactate remained the same after 60 min on MV (NS). Conclusions: Controlled MV decreases substantially the severity of hyperlactatemia in patients with acute respiratory failure, and any adverse circulatory effects of MV do not alter this beneficial outcome. Received: 16 December 1997 Accepted: 11 June 1998     

Quality of life 6 months after intensive care: results of a prospective multicenter study using a generic health status scale and a satisfaction scale

Objective: To assess the quality of life of intensive care survivors 6 months after discharge. Design: Multicenter prospective study. Setting: Medical-surgical intensive care units (ICUs) of four French university hospitals. Patients: Among the 589 patients admitted to the four ICUs between 1 January and 31 March 1989, 329 were investigated. Measurements and results: A generic scale assessing health-related quality of life, the Nottingham Health Profile (NHP), a satisfaction scale, the Perceived Quality of Life scale (PQOL) and a questionnaire on professional status were sent by mail 6 months after discharge. Data concerning age, severity of acute illness (assessed by the Simplified Acute Physiology Score) and main diagnosis were recorded. A total of 223 questionnaires (67.8 %) were analysable. The professional status remained unchanged in 79.7 % of the patients, despite a significant (p < 0.01) increase (15.3 vs 22.1 %) in sick leave. Quality of life, assessed with NHP, was fair (50^th percentile = 0.73 on a 0 to 1 scale), whereas satisfaction measured by PQOL was lower (50^th percentile = 0.61). Both scales correlated well (z = 9.853; p = 0.0001) but with a large dispersion. The NHP scale showed a severe reduction in energy, sleep and emotional reactions, whereas social isolation, pain and physical handicap were infrequent. Family support was rated with the PQOL score as very good, whereas dissatisfaction concerning recreational and professional activities was expressed. Subsequent sick leave was associated with a poor quality of life (p < 0.05). Quality of life was mainly a function of the diagnosis, not of age and severity of illness: patients admitted for suicide attempt or chronic obstructive pulmonary disease fared poorly. Conclusions: Quality of life measured with a health-related quality of life scale and a satisfaction scale 6 months after an ICU stay depended on the admission diagnosis. Different dimensions of quality of life were variably affected. Received: 25 March 1996 Accepted: 4 December 1996     

Body temperature alterations in the critically ill

Objective To determine the incidence of body temperature (BT) alterations in critically ill patients, and their relationship with infection and outcome.Design Prospective, observational study.Setting Thirty-one bed, medico-surgical department of intensive care.Patients Adult patients admitted consecutively to the ICU for at least 24 h, during 6 summer months.Interventions None.Results Fever (BT38.3°C) occurred in 139 (28.2%) patients and hypothermia (BT36°C) in 45 (9.1%) patients, at some time during the ICU stay. Fever was present in 52 of 100 (52.0%) infected patients without septic shock, and in 24 of 38 (63.2%) patients with septic shock. Hypothermia occurred in 5 of 100 (5.0%) infected patients without septic shock and in 5 of 38 (13.1%) patients with septic shock. Patients with hypothermia and fever had higher Sequential Organ Failure Assessment (SOFA) scores on admission (6.3±3.7 and 6.4±3.3 vs 4.6±3.2; p<0.01), maximum SOFA scores during ICU stay (7.6±5.2 and 8.2±4.7 vs 5.4±3.8; p<0.01) and mortality rates (33.3 and 35.3% vs 10.3%; p<0.01). The length of stay (LOS) was longer in febrile patients than in hypothermic and normothermic (36°C<BT<38.3°C) patients [median 6 (1–57) vs 5 (2–28) and 3 (1–33) days, p=0.02 and p=0.01, respectively). Among the septic patients hypothermic patients were older than febrile patients (69±9 vs 54±7 years, p=0.01). Patients with septic shock had a higher mortality if they were hypothermic than if they were febrile (80 vs 50%, p<0.01).Conclusions Both hypothermia and fever are associated with increased morbidity and mortality rates. Patients with hypothermia have a worse prognosis than those with fever.     

Excess ICU mortality attributable to ventilator-associated pneumonia: The role of early vs late onset

Objective To determine the impact of ventilator-associated pneumonia (VAP) on ICU mortality, and whether it is related to time of onset of pneumonia. Design Prospective cohort study. Setting 16-bed medical-surgical ICU at a university-affiliated hospital. Patients and measurements From 2002 to 2003, we recorded patients receiving mechanical ventilation for > 72 h. Patients developing an infection other than VAP were excluded. Patients definitively diagnosed with VAP (n = 40) were cases and patients free of any infection acquired during ICU stay (n = 61) were controls. The VAP-attributed mortality was defined as the difference between observed mortality and predicted mortality (SAPS II) on admission. Results Mechanical ventilation was longer in VAP patients (25 ± 20 vs 11 ± 9 days; p < 0.001), as was ICU stay (33 ± 23 vs 14 ± 12 days; p < 0.001). In the non-VAP group, no difference was found between observed and predicted mortality (27.9 vs 27.4%; p > 0.2). In the VAP group, observed mortality was 45% and predicted mortality 26.5% (p < 0.001), with attributable mortality 18.5%, and relative risk (RR) 1.7 (95% CI 1.12–23.17). No difference was observed between observed and predicted mortality in early-onset VAP (27.3 vs 25.8%; p > 0.20); in late-onset VAP, observed mortality was higher (51.7 vs 26.7%; p < 0.01) with attributable mortality of 25% and an RR 1.9 (95% CI 1.26–2.63). Empiric antibiotic treatment was appropriate in 77.5% of episodes. No differences in mortality were related to treatment appropriateness. Conclusions In mechanically ventilated patients, VAP is associated with excess mortality, mostly restricted to late-onset VAP and despite appropriate antibiotic treatment.     

Failure to achieve glycemic control despite intensive insulin therapy in a medical ICU: incidence and influence on ICU mortality

Objective Intensive insulin therapy reduces mortality in subgroups of intensive care unit (ICU) patients, and awareness of the importance of blood glucose level (BGL) control has increased among ICU physicians and nurses. The impact of insulin treatment strategies on mortality may be influenced by their efficacy in achieving the target BGL range. We assessed the efficacy of an insulin treatment strategy in maintaining BGL within the target range, and we compared ICU mortality in patients who did and did not reach the BGL target. Design Prospective cohort study. Setting 12-bed medical ICU in a tertiary teaching hospital. Patients and participants Adults consecutively admitted over a 9-month period to an ICU where standard care included an insulin treatment strategy aimed at maintaining BGL ≤ 7 mmol/l. Measurements and main results 105 patients were included. Median SAPS II was 45 (31–54). Failure to control BGL (mean capillary BGL > 7 mmol/l after initial hyperglycemia correction) occurred in 32 patients (31.1%) and was associated with a significant increase in ICU mortality (56.2 vs. 23.3% in patients with successful BGL control). In the multivariate analysis, failure to control BGL independently predicted death in the ICU (OR 5.9, 2.1–16.6, p < 0.001). Conclusions Failure to control BGL despite intensive insulin therapy was common and independently associated with ICU mortality. Failure to control BGL may considerably affect the overall impact of insulin treatment strategies on mortality.     

The longer patients are in hospital before Intensive Care admission the higher their mortality

Objective To explore the relationship between hospital mortality and time spent by patients on hospital wards before admission to the intensive care unit (ICU).Design Observational study of prospectively collected data.Setting Participating intensive care units within the North East Thames Regional Database.Patients and participants Patients, 7,190, admitted to ICU from the hospital wards of 24 hospitals.Interventions None.Measurements and results Of ICU admissions from the wards, 40.1% were in hospital for more than 3 days and 11.7% for more than 15 days. ICU patients who died in hospital were in-patients longer (p=0.001) before admission (median 3 days; interquartile range 1–9) than those discharged alive (median 2 days; interquartile range 1–5). Hospital mortality increased significantly (p<0.0001) in relation to time on hospital wards before ICU: 47.1% (standardised mortality ratio 1.09) for patients in hospital 0–3 days before ICU admission up to 67.2% (standardised mortality ratio 1.39) for patients on the wards for more than 15 days before ICU. Length of stay before ICU admission was an independent predictor of hospital mortality (odds ratio per day 1.019; 95% confidence interval 1.014–1.024). There were significant differences (p<0.001) in patient age, APACHE II score and predicted mortality in relation to time on wards before ICU admission.Conclusions Mortality was high among patients admitted from the wards to ICU; many were inpatients for days or weeks before admission. The longer these patients were in hospital before ICU admission, the higher their mortality. Patients with delayed admission differed in some respects compared to those admitted earlier.Electronic Supplementary Material Supplementary material is available in the online version of this article at Preliminary analysis of this data was presented in abstract at the Intensive Care Society (UK) State of the Art Scientific Meeting in London, December 2001.