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1.
Clin Chem Lab Med ; 57(9): 1422-1431, 2019 08 27.
Article in English | MEDLINE | ID: mdl-30951497

ABSTRACT

Background The prognostic impact of mild/moderate liver impairment among critically ill patients is not known. We aimed to determine whether acute liver impairment, as measured by several biomarkers, (i) is frequent, (ii) influences prognosis and (iii) to determine whether such an effect is specific for infected critically ill patients. Methods A biomarker and clinical cohort study based on a randomized controlled trial. All-cause mortality was the primary endpoint. Biomarkers hyaluronic acid (HA), bilirubin, albumin, alkaline phosphatase and the international normalized ratio (INR) were determined. Multivariable statistics were applied to estimate risk increase according to liver biomarker increase at baseline and the model was adjusted for age, APACHE II, severe sepsis/septic shock vs. milder infection, chronic alcohol abuse Charlson's co-morbidity index, cancer disease, surgical or medical patient, body mass index, sex, estimated glomerular filtration rate, mechanical ventilation and the other biomarkers. Time-to-event graphs were used. The patients were critically ill patients (n = 1096) from nine mixed medical/surgical intensive care units without known hepatobiliary disease. Results HA levels differed between infected patients (median 210.8 ng/mL [IQR: 93.2-556.6]) vs. the non-infected (median 56.8 ng/mL [IQR: 31.9-116.8], p < 0.001). Serum HA quartiles 2, 3 and 4 were independent predictors of 90-day all-cause mortality for the entire population (infected and non-infected). However, the signal was driven by the infected patients (positive interaction test, no signal in non-infected patients). Among infected patients, HA quartiles corresponded directly to the 90-day risk of dying: 1st quartile: 57/192 = 29.7%, 2nd quartile: 84/194 = 43.3%, 3rd quartile: 90/193 = 46.6%, 4th quartile: 101/192 = 52.3 %, p for trend: <0.0001. This finding was confirmed in adjusted analyses: hazard ratio vs. 1st quartile: 2nd quartile: 1.3 [0.9-1.8], p = 0.14, 3rd quartile: 1.5 [1.1-2.2], p = 0.02, 4th quartile: 1.9 [1.3-2.6], p < 0.0001). High bilirubin was also an independent predictor of mortality. Conclusions Among infected critically ill patients, subtle liver impairment, (elevated HA and bilirubin), was associated with a progressive and highly increased risk of death for the patient; this was robust to adjustment for other predictors of mortality. HA can identify patients at high risk.


Subject(s)
Critical Illness/mortality , Liver Diseases/mortality , Liver Diseases/physiopathology , Liver/physiopathology , APACHE , Adult , Aged , Alkaline Phosphatase/analysis , Bilirubin/analysis , Biomarkers , Cohort Studies , Comorbidity , Female , Humans , Hyaluronic Acid/analysis , Intensive Care Units , International Normalized Ratio/methods , Liver/metabolism , Male , Middle Aged , Prognosis , ROC Curve , Sepsis/mortality , Serum Albumin, Human/analysis
2.
Ann Intensive Care ; 6(1): 114, 2016 Dec.
Article in English | MEDLINE | ID: mdl-27873291

ABSTRACT

BACKGROUND: It is unclear whether biomarkers of alveolar damage (surfactant protein D, SPD) or conductive airway damage (club cell secretory protein 16, CC16) measured early after intensive care admittance are associated with one-month clinical respiratory prognosis. If patients who do not recover respiratory function within one month can be identified early, future experimental lung interventions can be aimed toward this high-risk group. We aimed to determine, in a heterogenous critically ill population, whether baseline profound alveolar damage or conductive airway damage has clinical respiratory impact one month after intensive care admittance. METHODS: Biobank study of biomarkers of alveolar and conductive airway damage in intensive care patients was conducted. This was a sub-study of 758 intubated patients from a 1200-patient randomized trial. We split the cohort into a "learning cohort" and "validating cohort" based on geographical criteria: northern sites (learning) and southern sites (validating). RESULTS: Baseline SPD above the 85th percentile in the "learning cohort" predicted low chance of successful weaning from ventilator within 28 days (adjusted hazard ratio 0.6 [95% CI 0.4-0.9], p = 0.005); this was confirmed in the validating cohort. CC16 did not predict the endpoint. The absolute risk of not being successfully weaned within the first month was 48/106 (45.3%) vs. 175/652 (26.8%), p < 0.0001 (high SPD vs. low SPD). The chance of being "alive and without ventilator ≥20 days within the first month" was lower among patients with high SPD (adjusted OR 0.2 [95% CI 0.2-0.4], p < 0.0001), confirmed in the validating cohort, and the risk of ARDS was higher among patients with high SPD (adjusted OR 3.4 [95% CI 1.0-11.4], p = 0.04)-also confirmed in the validating cohort. CONCLUSION: Early profound alveolar damage in intubated patients can be identified by SPD blood measurement at intensive care admission, and high SPD level is a strong independent predictor that the patient suffers from ARDS and will not recover independent respiratory function within one month. This knowledge can be used to improve diagnostic and prognostic models and to identify the patients who most likely will benefit from experimental interventions aiming to preserve alveolar tissue and therefore respiratory function. Trial registration This is a sub-study to the Procalcitonin And Survival Study (PASS), Clinicaltrials.gov ID: NCT00271752, first registered January 1, 2006.

3.
Crit Care Med ; 39(9): 2048-58, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21572328

ABSTRACT

OBJECTIVE: For patients in intensive care units, sepsis is a common and potentially deadly complication and prompt initiation of appropriate antimicrobial therapy improves prognosis. The objective of this trial was to determine whether a strategy of antimicrobial spectrum escalation, guided by daily measurements of the biomarker procalcitonin, could reduce the time to appropriate therapy, thus improving survival. DESIGN: Randomized controlled open-label trial. SETTING: Nine multidisciplinary intensive care units across Denmark. PATIENTS: A total of 1,200 critically ill patients were included after meeting the following eligibility requirements: expected intensive care unit stay of ≥ 24 hrs, nonpregnant, judged to not be harmed by blood sampling, bilirubin <40 mg/dL, and triglycerides <1000 mg/dL (not suspensive). INTERVENTIONS: : Patients were randomized either to the "standard-of-care-only arm," receiving treatment according to the current international guidelines and blinded to procalcitonin levels, or to the "procalcitonin arm," in which current guidelines were supplemented with a drug-escalation algorithm and intensified diagnostics based on daily procalcitonin measurements. MEASUREMENTS AND MAIN RESULTS: The primary end point was death from any cause at day 28; this occurred for 31.5% (190 of 604) patients in the procalcitonin arm and for 32.0% (191 of 596) patients in the standard-of-care-only arm (absolute risk reduction, 0.6%; 95% confidence interval [CI] -4.7% to 5.9%). Length of stay in the intensive care unit was increased by one day (p = .004) in the procalcitonin arm, the rate of mechanical ventilation per day in the intensive care unit increased 4.9% (95% CI, 3.0-6.7%), and the relative risk of days with estimated glomerular filtration rate <60 mL/min/1.73 m was 1.21 (95% CI, 1.15-1.27). CONCLUSIONS: Procalcitonin-guided antimicrobial escalation in the intensive care unit did not improve survival and did lead to organ-related harm and prolonged admission to the intensive care unit. The procalcitonin strategy like the one used in this trial cannot be recommended.


Subject(s)
Anti-Bacterial Agents/therapeutic use , Calcitonin/blood , Intensive Care Units , Protein Precursors/blood , Sepsis/prevention & control , Aged , Algorithms , Anti-Bacterial Agents/administration & dosage , Biomarkers/blood , Calcitonin Gene-Related Peptide , Female , Hospital Mortality , Humans , Length of Stay , Male , Middle Aged , Respiration, Artificial , Time Factors
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