scholarly journals Cystatin C predicts long term mortality better than creatinine in a nationwide study of intensive care patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Johanna Helmersson-Karlqvist ◽  
Miklos Lipcsey ◽  
Johan Ärnlöv ◽  
Max Bell ◽  
Bo Ravn ◽  
...  
Keyword(s):  
Intensive Care ◽  
Critically Ill ◽  
Risk Prediction ◽  
Cystatin C ◽  
Mortality Risk ◽  
Critically Ill Patients ◽  
Cox Regression ◽  
Sample Tube ◽  
Long Term Mortality

AbstractDecreased glomerular filtration rate (GFR) is linked to poor survival. The predictive value of creatinine estimated GFR (eGFR) and cystatin C eGFR in critically ill patients may differ substantially, but has been less studied. This study compares long-term mortality risk prediction by eGFR using a creatinine equation (CKD-EPI), a cystatin C equation (CAPA) and a combined creatinine/cystatin C equation (CKD-EPI), in 22,488 patients treated in intensive care at three University Hospitals in Sweden, between 2004 and 2015. Patients were analysed for both creatinine and cystatin C on the same blood sample tube at admission, using accredited laboratory methods. During follow-up (median 5.1 years) 8401 (37%) patients died. Reduced eGFR was significantly associated with death by all eGFR-equations in Cox regression models. However, patients reclassified to a lower GFR-category by using the cystatin C-based equation, as compared to the creatinine-based equation, had significantly higher mortality risk compared to the referent patients not reclassified. The cystatin C equation increased C-statistics for death prediction (p < 0.001 vs. creatinine, p = 0.013 vs. combined equation). In conclusion, this data favours the sole cystatin C equation rather than the creatinine or combined equations when estimating GFR for risk prediction purposes in critically ill patients.

scholarly journals Addition of cystatin C predicts cardiovascular death better than creatinine in intensive care

Heart ◽  
2021 ◽  
pp. heartjnl-2020-318860
Author(s):  
Johanna Helmersson-Karlqvist ◽  
Miklos Lipcsey ◽  
Johan Ärnlöv ◽  
Max Bell ◽  
Bo Ravn ◽  
...  
Keyword(s):  
Intensive Care ◽  
Critically Ill ◽  
Cystatin C ◽  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Cardiovascular Death ◽  
University Hospitals ◽  
Cardiovascular Mortality Risk

ObjectiveDecreased kidney function increases cardiovascular risk and predicts poor survival. Estimated glomerular filtration rate (eGFR) by creatinine may theoretically be less accurate in the critically ill. This observational study compares long-term cardiovascular mortality risk by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation; Caucasian, Asian, paediatric and adult cohort (CAPA) cystatin C equation and the CKD-EPI combined creatinine/cystatin C equation.MethodsThe nationwide study includes 22 488 intensive care patients in Uppsala, Karolinska and Lund University Hospitals, Sweden, between 2004 and 2015. Creatinine and cystatin C were analysed with accredited methods at admission. Reclassification and model discrimination with C-statistics was used to compare creatinine and cystatin C for cardiovascular mortality prediction.ResultsDuring 5 years of follow-up, 2960 (13 %) of the patients died of cardiovascular causes. Reduced eGFR was significantly associated with cardiovascular death by all eGFR equations in Cox regression models. In each creatinine-based GFR category, 17%, 19% and 31% reclassified to a lower GFR category by cystatin C. These patients had significantly higher cardiovascular mortality risk, adjusted HR (95% CI), 1.55 (1.38 to 1.74), 1.76 (1.53 to 2.03) and 1.44 (1.11 to 1.86), respectively, compared with patients not reclassified. Harrell’s C-statistic for cardiovascular death for cystatin C, alone or combined with creatinine, was 0.73, significantly higher than for creatinine (0.71), p<0.001.ConclusionsA single cystatin C at admission to the intensive care unit added significant predictive value to creatinine for long-term cardiovascular death risk assessment. Cystatin C, alone or in combination with creatinine, should be used for estimating GFR for long-term risk prediction in critically ill.

Early Intensive Care Sedation Predicts Long-Term Mortality in Ventilated Critically Ill Patients

2012 ◽  
Vol 186 (8) ◽  
pp. 724-731 ◽  
Author(s):  
Yahya Shehabi ◽  
Rinaldo Bellomo ◽  
Michael C. Reade ◽  
Michael Bailey ◽  
Frances Bass ◽  
...  
Keyword(s):  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Intensive Care Sedation ◽  
Long Term Mortality

Elevated asymmetric dimethylarginine levels predict short- and long-term mortality risk in critically ill patients

2013 ◽  
Vol 28 (6) ◽  
pp. 947-953 ◽  
Author(s):  
Alexander Koch ◽  
Ralf Weiskirchen ◽  
Julian Kunze ◽  
Hanna Dückers ◽  
Jan Bruensing ◽  
...  
Keyword(s):  
Critically Ill ◽  
Mortality Risk ◽  
Critically Ill Patients ◽  
Asymmetric Dimethylarginine ◽  
Short And Long Term ◽  
Long Term Mortality

scholarly journals No impact of weather conditions on the outcome of intensive care unit patients

2021 ◽  
Author(s):  
Raphael Romano Bruno ◽  
Bernhard Wernly ◽  
Maryna Masyuk ◽  
Johanna M. Muessig ◽  
Rene Schiffner ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Weather Conditions ◽  
Air Pressure ◽  
Different Seasons ◽  
Weather Changes ◽  
Long Term Mortality

SummaryGlobal warming leads to increased exposure of humankind to meteorological variation, including short-term weather changes. Weather conditions involve changes in temperature, heat and cold, in air pressure and in air humidity. Every single condition influences the incidence and mortality of different diseases such as myocardial infarction and stroke. This study investigated the impact of weather conditions on short- and long-term mortality of 4321 critically ill patients (66 ± 14 years, 2638 men) admitted to an intensive care unit (ICU) over a period of 5 years. Meteorological information (air temperature, air pressure and humidity) for the same period was retrieved. The influence of absolute weather parameters, different seasons, sudden weather changes including “warm” and “cold” spells on ICU and long-term mortality was analyzed. After correction for Simplified Acute Physiology Score (SAPS-2), no impact of meteorological conditions on mortality was found. Different seasons, sudden weather changes, “warm spells” or “cold spells” did not affect the outcome of critically ill patients.

The Association of Age With Short-Term and Long-Term Mortality in Adults Admitted to the Intensive Care Unit

2016 ◽  
Vol 32 (9) ◽  
pp. 554-558 ◽  
Author(s):  
Raghu R. Seethala ◽  
Kevin Blackney ◽  
Peter Hou ◽  
Haytham M. A. Kaafarani ◽  
Daniel Dante Yeh ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Tertiary Care ◽  
Age Groups ◽  
The Elderly ◽  
Short Term ◽  
Long Term Mortality

Background: Based on the current literature, it is unclear whether advanced age itself leads to higher mortality in critically ill patients or whether it is due to the greater number of comorbidities in the elderly patients. We hypothesized that increasing age would increase the odds of short-term and long-term mortality after adjusting for baseline comorbidities in intensive care unit (ICU) patients. Methods: We performed a retrospective cohort study of 57 160 adults admitted to any ICU over 5 years at 2 academic tertiary care centers. Patients were divided into age-groups, 18 to 39, 40 to 59, 60 to 79, and ≥80. The primary outcomes were 30-day and 365-day mortality. Results were analyzed with multivariate logistic regression adjusting for demographics and the Elixhauser-van Walraven Comorbidity Index. Results: The adjusted 30-day mortality odds ratios (ORs) were 1.39 (95% confidence interval [CI]: 1.21-1.60), 2.00 (95% CI: 1.75-2.28), and 3.33 (95% CI: 2.90-3.82) for age-groups 40 to 59, 60 to 79, and ≥80, respectively, using the age-group 18 to 39 as the reference. The adjusted 365-day mortality ORs were 1.46 (95% CI: 1.32-1.61), 2.10 (95% CI: 1.91-2.31), and 2.96 (95% CI: 2.67-3.27). Conclusion: In critically ill patients, increasing age is associated with higher odds of short-term and long-term death after correcting for existing comorbidities.

ICU admissions: Consequences after discharge

2020 ◽  
Vol 13 (9) ◽  
pp. 550-556
Author(s):  
Minal Karavadra ◽  
Ricky Bell
Keyword(s):  
Intensive Care ◽  
Cognitive Decline ◽  
Intensive Care Units ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Psychiatric Disturbance ◽  
Intensive Care Department ◽  
Previous Level ◽  
The Uk

The intensive care department may seem a long way from the GP's consulting room, but every year tens of thousands of critically ill patients are admitted to intensive care units (ICUs) across the UK. Patients are often left with long term sequelae that may require GP input. Physical weakness, psychiatric disturbance and cognitive decline are not uncommon after an illness that requires a stay in an ICU. These hinder a patient’s return to their previous level of function and impact caregivers after discharge. This article aims to highlight the chronic symptoms patients can acquire during ICU admission that may come to the attention of GPs for their advice and treatment.

scholarly journals Long-term mortality in young patients with spontaneous intracerebral haemorrhage: Predictors and causes of death

2021 ◽  
Vol 6 (2) ◽  
pp. 185-193
Author(s):  
Jamie I Verhoeven ◽  
Marco Pasi ◽  
Barbara Casolla ◽  
Hilde Hénon ◽  
Frank-Erik de Leeuw ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Intracerebral Haemorrhage ◽  
Causes Of Death ◽  
Cox Regression ◽  
Young Patients ◽  
University Hospital ◽  
Standardized Mortality Ratio ◽  
Excessive Alcohol Consumption ◽  
Long Term Mortality

Introduction Intracerebral haemorrhage (ICH) in young adults is rare but has devastating consequences. We investigated long-term mortality rates, causes of death and predictors of long-term mortality in young spontaneous ICH survivors. Patients and methods We included consecutive patients aged 18–55 years from the Prognosis of Intracerebral Haemorrhage cohort (PITCH), a prospective observational cohort of patients admitted to Lille University Hospital (2004–2009), who survived at least 30 days after spontaneous ICH. We studied long-term mortality with Kaplan-Meier analyses, collected causes of death, performed uni-/multivariable Cox-regression analyses for the association of baseline characteristics with long-term mortality. Results Of 560 patients enrolled in the PITCH, 75 patients (75% men) met our inclusion criteria (median age 50 years, interquartile range [IQR] 44–53 years). During a median follow-up of 8.2 years (IQR 5.0–10.1), 26 patients died (35%), with a standardized mortality ratio of 13.0 (95% confidence interval [95% CI] 8.5–18.0) compared to peers from the general population. Causes of death were vascular in 7 (27%) patients, non-vascular in 13 (50%) and unknown in 6 (23%). Global cerebral atrophy (hazard ratio [HR] 3.0, 95% CI 1.1–8.6), modified Rankin Score >2 before ICH (HR 3.4, 95% CI 1.0–11.0), and excessive alcohol consumption (HR 3.3, 95% CI 1.1–10.2) were independently associated with long-term mortality. Discussion We found a 13-fold higher mortality risk for young ICH survivors compared to the general French population. Predictors of long-term mortality were pre-existing conditions, not ICH-characteristics. Conclusion Young ICH survivors remain at increased mortality risk of vascular and non-vascular death for years after ICH.

scholarly journals Serum Procalcitonin Level and Mortality Risk in Critically ill Patients with Ventilator-Associated Pneumonia

2015 ◽  
Vol 37 (5) ◽  
pp. 1967-1972 ◽  
Author(s):  
Bo Li ◽  
Xin Zhao ◽  
Shumei Li
Keyword(s):  
Critically Ill ◽  
Mortality Risk ◽  
Critically Ill Patients ◽  
Cox Regression ◽  
High Serum ◽  
Ventilator Associated Pneumonia ◽  
Prognostic Role ◽  
Procalcitonin Level ◽  
Increased Risk

Background/Aims: The prognostic role of serum procalcitonin level in critically ill patients with ventilator-associated pneumonia was unclear. The aim of our study was to investigate the relationship between serum procalcitonin level and mortality risk in critically ill patients with ventilator-associated pneumonia. Methods: Data of critically ill patients with ventilator-associated pneumonia were retrospectively collected. Demographics, comorbidities, and serum procalcitonin level were extracted from electronic medical records. The primary outcome was mortality within two months after diagnosis. Multivariable Cox regression analyses were performed to assess the prognostic role of serum procalcitonin level in those patients. Results: A total of 115 critically ill patients with ventilator-associated pneumonia were enrolled in our study. Serum procalcitonin level was not associated with age, gender, or other comorbidities. Univariate Cox regression model showed that high serum procalcitonin level was associated increased risk of morality within 2 months after diagnosis (OR = 2.32, 95% CI 1.25-4.31, P = 0.008). Multivariable Cox regression model showed that high serum procalcitonin level was independently associated increased risk of morality within 2 months after diagnosis (OR = 2.38, 95% CI 1.26-4.50, P = 0.008). Conclusion: High serum procalcitonin level is an independent prognostic biomarker of mortality risk in critically ill patients with ventilator-associated pneumonia, and it's a promising biomarker of prognosis in critically ill patients.

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