scholarly journals Pediatric risk of mortality III score – Predictor of mortality and hospital stay in pediatric intensive care unit

2020 ◽  
Vol 13 (2) ◽  
pp. 146
Author(s):  
Amanpreet Sethi ◽  
Amarpreet Kaur ◽  
Gurmeet Kaur ◽  
ShashiKant Dhir ◽  
Seema Rai ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Stay ◽  
Pediatric Intensive Care Unit ◽  
Pediatric Intensive Care ◽  
Risk Of Mortality

Validation of a modified pediatric risk of mortality III model in a pediatric intensive care unit in Thailand

2018 ◽  
Vol 2 (4) ◽  
pp. 65 ◽  
Author(s):  
Kanokpan Ruangnapa ◽  
Sittikiat Sucheewakul ◽  
Tippawan Liabsuetrakul ◽  
Edward McNeil ◽  
Kantara Lim ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Pediatric Intensive Care Unit ◽  
Pediatric Intensive Care ◽  
Risk Of Mortality

Use of the Pediatric Risk of Mortality score to predict nosocomial infection in a pediatric intensive care unit

1991 ◽  
Vol 19 (2) ◽  
pp. 160-165 ◽  
Author(s):  
EVELYN POLLOCK ◽  
E. LEE FORD-JONES ◽  
MARY COREY ◽  
GEOFFREY BARKER ◽  
CATHY M. MINDORFF ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Nosocomial Infection ◽  
Pediatric Intensive Care Unit ◽  
Pediatric Intensive Care ◽  
Risk Of Mortality

Patterns of Delirium in a Pediatric Intensive Care Unit and Associations With Noise Pollution

2021 ◽  
pp. 088506662110556
Author(s):  
Jeffrey R. Weatherhead ◽  
Matthew Niedner ◽  
Mary K. Dahmer ◽  
Nasuh Malas ◽  
Toni Owens ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Correlation Coefficient ◽  
Pediatric Intensive Care Unit ◽  
Pediatric Intensive Care ◽  
Noise Pollution ◽  
Noise Levels ◽  
Sound Levels ◽  
Risk Of Mortality ◽  
The Relationship

Objective Delirium is a common problem in the Pediatric Intensive Care Unit (PICU) and is associated with increased length of stay, cost and mortality. This study evaluated the relationship between noise pollution and delirium risk. Design: This is a Quality Improvement (QI) initiative at an academic PICU. Sound levels were monitored and patients were screened for delirium using the Cornell Assessment of Pediatric Delirium (CAPD). Setting PICU Patients: All PICU patients Interventions: None Measurements and Main Results: Over the 83-week study period (2015-2017), the median [IQR] CAPD score was 8 [3 to 14]. Nursing compliance with the CAPD was 72.2%. The proportion of patients screening positive for delirium (CAPD ≥ 9) was 45.9%. A total of 329 711 hly decibel (dB) measurements were collected and reported. Occupied rooms were louder than unoccupied rooms (51.8 [51.6-51.9] dB vs. 49.8 [49.7-49.9] dB, respectively, p < 0.001). Days (10 AM to 4 PM) were louder than nights (11 PM to 5 AM) (52.8 [52.7-53.0] dB vs. 50.7 [49.9-51.5] dB, respectively p < 0.001) in occupied rooms. Winter (Nov-Feb) months were louder than summer (May-Aug) months (52.0 [51.8-52.3] dB vs. 51.5 [51.3-51.7] dB, respectively, p < 0.002) in occupied rooms. Median weekly nighttime noise levels and CAPD scores demonstrated a correlation coefficient of 0.6 ( p < 0.001). Median weekly risk of mortality (ROM) and CAPD scores demonstrated a correlation coefficient of 0.15 ( p < 0.01). Conclusions: Significant noise pollution exists in the PICU with a moderate correlation between nighttime noise levels and CAPD scores. This could potentially implicate noise pollution as a risk factor for the development of delirium.

scholarly journals A Study of Acute Kidney Injury in a Tertiary Care Pediatric Intensive Care Unit

2020 ◽  
Author(s):  
Akanksha C. Parikh ◽  
Milind S. Tullu
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Acute Kidney Injury ◽  
Intensive Care ◽  
Hospital Stay ◽  
Pediatric Intensive Care Unit ◽  
Tertiary Care ◽  
Kidney Injury ◽  
Pediatric Intensive Care ◽  
Critically Ill Children

AbstractThe objective of this study was to calculate the incidence, severity, and risk factors for acute kidney injury (AKI) in a tertiary care pediatric intensive care unit (PICU). Also, to assess the impact of AKI and its varying severity on mortality and length of hospital and PICU stays. A prospective observational study was performed in children between 1 month and 12 years of age admitted to the PICU between July 1, 2013, and July 31, 2014 (13 months). The change in creatinine clearance was considered to diagnose and stage AKI according to pediatric risk, injury, failure, loss, and end-stage renal disease criteria. The risk factors for AKI and its impact on PICU stay, hospital stay, and mortality were evaluated. Of the total 220 patients enrolled in the study, 161 (73.2%) developed AKI, and 59 cases without AKI served as the “no AKI” (control) group. Majority (57.1%) of children with AKI had Failure grade of AKI, whereas 26.1% had Risk grade and 16.8% had Injury grade of AKI. Infancy (p = 0.000), hypovolemia (p = 0.005), shock (p = 0.008), and sepsis (p = 0.022) were found to be significant risk factors for AKI. Mortality, PICU stay, and hospital stay were comparable in children with and without AKI as well as between the various grades of renal injury (i.e., Failure, Risk, and Injury). An exceedingly high incidence of AKI, especially of the severe Failure grade was observed in critically ill children. Infancy and frequent PICU occurrences such as sepsis, hypovolemia, and shock predisposed to AKI.

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