Five-year mortality and morbidity impact of prolonged versus brief ICU stay: a propensity score matched cohort study.

PURPOSE: Long-term outcomes of critical illness may be affected by duration of critical illness and intensive care. We aimed to investigate differences in mortality and morbidity after short (<8 days) and prolonged (≥8 days) intensive care unit (ICU) stay. METHODS: Former EPaNIC-trial patients were included in this preplanned prospective cohort, 5-year follow-up study. Mortality was assessed in all. For morbidity analyses, all long-stay and-for feasibility-a random sample (30%) of short-stay survivors were contacted. Primary outcomes were total and post-28-day 5-year mortality. Secondary outcomes comprised handgrip strength (HGF, %pred), 6-minute-walking distance (6MWD, %pred) and SF-36 Physical Function score (PF SF-36). One-to-one propensity-score matching of short-stay and long-stay patients was performed for nutritional strategy, demographics, comorbidities, illness severity and admission diagnosis. Multivariable regression analyses were performed to explore ICU factors possibly explaining any post-ICU observed outcome differences. RESULTS: After matching, total and post-28-day 5-year mortality were higher for long-stayers (48.2% (95%CI: 43.9% to 52.6%) and 40.8% (95%CI: 36.4% to 45.1%)) versus short-stayers (36.2% (95%CI: 32.4% to 40.0%) and 29.7% (95%CI: 26.0% to 33.5%), p<0.001). ICU risk factors comprised hypoglycaemia, use of corticosteroids, neuromuscular blocking agents, benzodiazepines, mechanical ventilation, new dialysis and the occurrence of new infection, whereas clonidine could be protective. Among 276 long-stay and 398 short-stay 5-year survivors, HGF, 6MWD and PF SF-36 were significantly lower in long-stayers (matched subset HGF: 83% (95%CI: 60% to 100%) versus 87% (95%CI: 73% to 103%), p=0.020; 6MWD: 85% (95%CI: 69% to 101%) versus 94% (95%CI: 76% to 105%), p=0.005; PF SF-36: 65 (95%CI: 35 to 90) versus 75 (95%CI: 55 to 90), p=0.002). CONCLUSION: Longer duration of intensive care is associated with excess 5-year mortality and morbidity, partially explained by potentially modifiable ICU factors. TRAIL REGISTRATION NUMBER: NCT00512122.

Predictive value for weakness and 1-year mortality of screening electrophysiology tests in the ICU.

PURPOSE: Muscle weakness in long-stay ICU patients contributes to 1-year mortality. Whether electrophysiological screening is an alternative diagnostic tool in unconscious/uncooperative patients remains unknown. We aimed to determine the diagnostic properties of abnormal compound muscle action potential (CMAP), sensory nerve action potential (SNAP), and spontaneous electrical activity (SEA) for Medical Research Council (MRC)-defined weakness and their predictive value for 1-year mortality. METHODS: Data were prospectively collected during the EPaNIC trial (ClinicalTrials.gov: NCT00512122). First, sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of abnormal CMAP, SNAP, and SEA for weakness were determined. Subsequently, association between 1-year mortality and abnormal findings on electrophysiological screening was assessed by univariate and multivariate analyses correcting for weakness and other risk factors and the prediction model involved only a development phase. RESULTS: A total of 730 patients were electrophysiologically screened of whom 432 were tested for weakness. On day 8, normal CMAP excluded weakness with a high NPV (80.5 %). By day 15, abnormal SNAP and the presence of SEA had a high PPV (91.7 and 80.0 %, respectively). Only a reduced CMAP on day 8 was associated with higher 1-year mortality [35.6 vs 15.2 % (p < 0.001)]. This association remained significant after correction for weakness and other risk factors [OR 2.463 (95 % CI 1.113-5.452), p = 0.026]. Also among conscious/cooperative patients without weakness, reduced CMAP was independently associated with a higher likelihood of death occurring during 1 year [HR 2.818 (95 % CI 1.074-7.391), p = 0.035]. CONCLUSIONS: The diagnostic properties of electrophysiological screening vary over time. Abnormal CMAP documented early during critical illness carries information about longer-term outcome, which should be further investigated mechanistically.

Acute outcomes and 1-year mortality of intensive care unit-acquired weakness. A cohort study and propensity-matched analysis.

RATIONALE: Intensive care unit (ICU)-acquired weakness is a frequent complication of critical illness. It is unclear whether it is a marker or mediator of poor outcomes. OBJECTIVES: To determine acute outcomes, 1-year mortality, and costs of ICU-acquired weakness among long-stay (≥8 d) ICU patients and to assess the impact of recovery of weakness at ICU discharge. METHODS: Data were prospectively collected during a randomized controlled trial. Impact of weakness on outcomes and costs was analyzed with a one-to-one propensity-score-matching for baseline characteristics, illness severity, and risk factor exposure before assessment. Among weak patients, impact of persistent weakness at ICU discharge on risk of death after 1 year was examined with multivariable Cox proportional hazards analysis. MEASUREMENTS AND MAIN RESULTS: A total of 78.6% were admitted to the surgical ICU; 227 of 415 (55%) long-stay assessable ICU patients were weak; 122 weak patients were matched to 122 not-weak patients. As compared with matched not-weak patients, weak patients had a lower likelihood for live weaning from mechanical ventilation (hazard ratio [HR], 0.709 [0.549-0.888]; P = 0.009), live ICU (HR, 0.698 [0.553-0.861]; P = 0.008) and hospital discharge (HR, 0.680 [0.514-0.871]; P = 0.007). In-hospital costs per patient (+30.5%, +5,443 Euro per patient; P = 0.04) and 1-year mortality (30.6% vs. 17.2%; P = 0.015) were also higher. The 105 of 227 (46%) weak patients not matchable to not-weak patients had even worse prognosis and higher costs. The 1-year risk of death was further increased if weakness persisted and was more severe as compared with recovery of weakness at ICU discharge (P < 0.001). CONCLUSIONS: After careful matching the data suggest that ICU-acquired weakness worsens acute morbidity and increases healthcare-related costs and 1-year mortality. Persistence and severity of weakness at ICU discharge further increased 1-year mortality. Clinical trial registered with www.clinicaltrials.gov (NCT 00512122).

The interobserver agreement of handheld dynamometry for muscle strength assessment in critically ill patients.

OBJECTIVE: Muscle weakness often complicates critical illness and is associated with increased risk of morbidity, mortality, and limiting functional outcome even years later. To assess the presence of muscle weakness and to examine the effects of interventions, objective and reliable muscle strength measurements are required. The first objective of this study is to determine interobserver reliability of handheld dynamometry. Secondary objectives are to quantify muscle weakness, to evaluate distribution of muscle weakness, and to evaluate gender-related differences in muscle strength. DESIGN: Cross-sectional observational study. SETTING: The surgical and medical intensive care units of a large, tertiary referral, university hospital. PATIENTS: A cross-sectional, randomly selected sample of awake and cooperative critically ill patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Handheld dynamometry was performed in critically ill patients who had at least a score of 3 (movement against gravity) on the Medical Research Council scale. Three upper limb and three lower limb muscle groups were tested at the right-hand side. Patients were tested twice daily by two independent raters. Fifty-one test-retests were performed in 39 critically ill patients. Handheld dynamometry demonstrated good interobserver agreement with intraclass correlation coefficients >0.90 in four of the muscle groups tested (range, 0.91-0.96) and somewhat less for hip flexion (intraclass correlation coefficient, 0.80) and ankle dorsiflexion (intraclass correlation coefficient, 0.76). Limb muscle strength was considerably reduced in all muscle groups as shown by the median z-score (range, -1.08 to -3.48 sd units). Elbow flexors, knee extensors, and ankle dorsiflexors were the most affected muscle groups. Loss of muscle strength was comparable between men and women. CONCLUSIONS: Handheld dynamometry is a tool with a very good interobserver reliability to assess limb muscle strength in awake and cooperative critically ill patients. Future studies should focus on the sensitivity of handheld dynamometry in longitudinal studies to evaluate predictive values toward patients' functional outcome.