scholarly journals Clinical predictive value of manual muscle strength testing during critical illness: an observational cohort study

Critical Care ◽  
2013 ◽  
Vol 17 (5) ◽  
pp. R229 ◽  
Author(s):  
Bronwen A Connolly ◽  
Gareth D Jones ◽  
Alexandra A Curtis ◽  
Patrick B Murphy ◽  
Abdel Douiri ◽  
...  
Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Youn-Jung Kim ◽  
Min-Jee Kim ◽  
Yong Hwan Kim ◽  
Chun Song Youn ◽  
In Soo Cho ◽  
...  

Abstract Background We assessed the prognostic accuracy of the standardized electroencephalography (EEG) patterns (“highly malignant,” “malignant,” and “benign”) according to the EEG timing (early vs. late) and investigated the EEG features to enhance the predictive power for poor neurologic outcome at 1 month after cardiac arrest. Methods This prospective, multicenter, observational, cohort study using data from Korean Hypothermia Network prospective registry included adult patients with out-of-hospital cardiac arrest (OHCA) treated with targeted temperature management (TTM) and underwent standard EEG within 7 days after cardiac arrest from 14 university-affiliated teaching hospitals in South Korea between October 2015 and December 2018. Early EEG was defined as EEG performed within 72 h after cardiac arrest. The primary outcome was poor neurological outcome (Cerebral Performance Category score 3–5) at 1 month. Results Among 489 comatose OHCA survivors with a median EEG time of 46.6 h, the “highly malignant” pattern (40.7%) was most prevalent, followed by the “benign” (33.9%) and “malignant” (25.4%) patterns. All patients with the highly malignant EEG pattern had poor neurologic outcomes, with 100% specificity in both groups but 59.3% and 56.1% sensitivity in the early and late EEG groups, respectively. However, for patients with “malignant” patterns, 84.8% sensitivity, 77.0% specificity, and 89.5% positive predictive value for poor neurologic outcome were observed. Only 3.5% (9/256) of patients with background EEG frequency of predominant delta waves or undetermined had good neurologic survival. The combination of “highly malignant” or “malignant” EEG pattern with background frequency of delta waves or undetermined increased specificity and positive predictive value, respectively, to up to 98.0% and 98.7%. Conclusions The “highly malignant” patterns predicted poor neurologic outcome with a high specificity regardless of EEG measurement time. The assessment of predominant background frequency in addition to EEG patterns can increase the prognostic value of OHCA survivors. Trial registration KORHN-PRO, NCT02827422. Registered 11 September 2016—Retrospectively registered.


Critical Care ◽  
2015 ◽  
Vol 19 (1) ◽  
pp. 13 ◽  
Author(s):  
Justin D Salciccioli ◽  
Dominic C Marshall ◽  
Marco Pimentel ◽  
Mauro D Santos ◽  
Tom Pollard ◽  
...  

2016 ◽  
Vol 250 ◽  
pp. 69-76 ◽  
Author(s):  
Shingo Tanaka ◽  
Hidehiro Kaneko ◽  
Hiroto Kano ◽  
Shunsuke Matsuno ◽  
Shinya Suzuki ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e036746
Author(s):  
Nahom Worku Teshager ◽  
Ashenafi Tazebew Amare ◽  
Koku Sisay Tamirat

ObjectiveTo determine the incidence and predictors of mortality among children admitted to the paediatric intensive care unit (PICU) at the University of Gondar comprehensive specialised hospital, northwest Ethiopia.DesignA single-centre prospective observational cohort study.ParticipantsA total of 313 children admitted to the ICU of the University of Gondar comprehensive specialised hospital during a one-and-a-half-year period.MeasurementsData were collected using standard case record form, physical examination and patient document review. Clinical characteristics such as systolic blood pressure, pupillary light reflex, oxygen saturation and need for mechanical ventilation (MV) were assessed and documented within the first hour of admission and entered into an electronic application to calculate the modified Pediatric Index of Mortality 2 (PIM 2) Score. We fitted the Cox proportional hazards model to identify predictors of mortality.ResultThe median age at admission was 48 months with IQR: 12–122, 28.1% were infants and adolescents accounted for 21.4%. Of the total patients studied, 59.7% were males. The median observation time was 3 days with (IQR: 1–6). One hundred and two (32.6%) children died during the follow-up time, and the incidence of mortality was 6.9 deaths per 100 person-day observation. Weekend admission (adjusted HR (AHR)=1.63, 95% CI: 1.02 to 2.62), critical illness diagnoses (AHR=1.79, 95% CI: 1.13 to 2.85), need for MV (AHR=2.36, 95% CI: 1.39 to 4.01) and modified PIM 2 Score (AHR=1.53, 95% CI: 1.36 to 1.72) were the predictors of mortality.ConclusionThe rate of mortality in the PICU was high, admission over weekends, need for MV, critical illness diagnoses and higher PIM 2 scores were significant and independent predictors of mortality.


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