The Use of Automated Electronic Alerts in Studying Short-Term Outcomes Associated with Community-Acquired Acute Kidney Injury. Hazara, A., Elgaali, M., Naudeer, S., Holding, S., & Bhandari, S. Nephron, 135(3):181–188, 2017. doi abstract bibtex Background/Aims: The use of electronic alerts (e-alerts) may increase the detection rate of acute kidney injury (AKI) since they are sensitive to small changes in serum creatinine. Our aim was to follow-up a cohort of patients presenting to hospital from the community with AKI (community-acquired AKI [c-AKI]), detected through the use of e-alerts, and describe their short-term outcomes regardless of whether they were subsequently admitted to hospital. Methods: Blood samples for all hospital attenders from the community either to the Accidents and Emergency department or one of the acute care areas of the hospital during a 6-month period (November 1, 2013-April 30, 2014) were screened for presence of c-AKI using a locally developed e-alerts system based on Kidney Disease: Improving Global Outcomes criteria. Follow-up data were obtained for a period of 3 months. Results: A total of 1,277 c-AKI episodes were identified in 1,185 patients (incidence 579 per 100,000 persons). Episodes that lead to hospitalization (n = 1,096 [86%]) were associated with a median length of hospital stay of 6.6 days; a graded increase in duration of stay was noted with increasing severity of AKI. Acute dialysis was needed during 21 (1.6%) episodes. For mortality rates, only the first AKI episode was considered. There were 298 deaths within 30 days of diagnosis irrespective of admissions status (30-day mortality rate: 25%). Conclusions: Using e-alerts in acute care settings to detect c-AKI is novel and may be used to stage and follow-up AKI using existing diagnostic criteria. c-AKI is relatively common and leads to significant mortality. © 2016 S. Karger AG, Basel.
@article{hazara_use_2017,
title = {The {Use} of {Automated} {Electronic} {Alerts} in {Studying} {Short}-{Term} {Outcomes} {Associated} with {Community}-{Acquired} {Acute} {Kidney} {Injury}},
volume = {135},
doi = {10.1159/000454779},
abstract = {Background/Aims: The use of electronic alerts (e-alerts) may increase the detection rate of acute kidney injury (AKI) since they are sensitive to small changes in serum creatinine. Our aim was to follow-up a cohort of patients presenting to hospital from the community with AKI (community-acquired AKI [c-AKI]), detected through the use of e-alerts, and describe their short-term outcomes regardless of whether they were subsequently admitted to hospital. Methods: Blood samples for all hospital attenders from the community either to the Accidents and Emergency department or one of the acute care areas of the hospital during a 6-month period (November 1, 2013-April 30, 2014) were screened for presence of c-AKI using a locally developed e-alerts system based on Kidney Disease: Improving Global Outcomes criteria. Follow-up data were obtained for a period of 3 months. Results: A total of 1,277 c-AKI episodes were identified in 1,185 patients (incidence 579 per 100,000 persons). Episodes that lead to hospitalization (n = 1,096 [86\%]) were associated with a median length of hospital stay of 6.6 days; a graded increase in duration of stay was noted with increasing severity of AKI. Acute dialysis was needed during 21 (1.6\%) episodes. For mortality rates, only the first AKI episode was considered. There were 298 deaths within 30 days of diagnosis irrespective of admissions status (30-day mortality rate: 25\%). Conclusions: Using e-alerts in acute care settings to detect c-AKI is novel and may be used to stage and follow-up AKI using existing diagnostic criteria. c-AKI is relatively common and leads to significant mortality. © 2016 S. Karger AG, Basel.},
number = {3},
journal = {Nephron},
author = {Hazara, A.M. and Elgaali, M. and Naudeer, S. and Holding, S. and Bhandari, S.},
year = {2017},
keywords = {Acute Kidney Injury, Acute kidney injury, Adult, Aged, Aged, 80 and over, Algorithms, Automation, Community Health Services, Community-acquired, Creatinine, E-alerts, Epidemiology, Female, Humans, Laboratory Critical Values, Length of Stay, Length of hospital stay, Male, Middle Aged, Mortality, Outcome, Patient Admission, Renal Replacement Therapy, Telecommunications, Young Adult},
pages = {181--188}
}
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Our aim was to follow-up a cohort of patients presenting to hospital from the community with AKI (community-acquired AKI [c-AKI]), detected through the use of e-alerts, and describe their short-term outcomes regardless of whether they were subsequently admitted to hospital. Methods: Blood samples for all hospital attenders from the community either to the Accidents and Emergency department or one of the acute care areas of the hospital during a 6-month period (November 1, 2013-April 30, 2014) were screened for presence of c-AKI using a locally developed e-alerts system based on Kidney Disease: Improving Global Outcomes criteria. Follow-up data were obtained for a period of 3 months. Results: A total of 1,277 c-AKI episodes were identified in 1,185 patients (incidence 579 per 100,000 persons). Episodes that lead to hospitalization (n = 1,096 [86%]) were associated with a median length of hospital stay of 6.6 days; a graded increase in duration of stay was noted with increasing severity of AKI. Acute dialysis was needed during 21 (1.6%) episodes. For mortality rates, only the first AKI episode was considered. There were 298 deaths within 30 days of diagnosis irrespective of admissions status (30-day mortality rate: 25%). Conclusions: Using e-alerts in acute care settings to detect c-AKI is novel and may be used to stage and follow-up AKI using existing diagnostic criteria. c-AKI is relatively common and leads to significant mortality. © 2016 S. Karger AG, Basel.","number":"3","journal":"Nephron","author":[{"propositions":[],"lastnames":["Hazara"],"firstnames":["A.M."],"suffixes":[]},{"propositions":[],"lastnames":["Elgaali"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Naudeer"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Holding"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Bhandari"],"firstnames":["S."],"suffixes":[]}],"year":"2017","keywords":"Acute Kidney Injury, Acute kidney injury, Adult, Aged, Aged, 80 and over, Algorithms, Automation, Community Health Services, Community-acquired, Creatinine, E-alerts, Epidemiology, Female, Humans, Laboratory Critical Values, Length of Stay, Length of hospital stay, Male, Middle Aged, Mortality, Outcome, Patient Admission, Renal Replacement Therapy, Telecommunications, Young Adult","pages":"181–188","bibtex":"@article{hazara_use_2017,\n\ttitle = {The {Use} of {Automated} {Electronic} {Alerts} in {Studying} {Short}-{Term} {Outcomes} {Associated} with {Community}-{Acquired} {Acute} {Kidney} {Injury}},\n\tvolume = {135},\n\tdoi = {10.1159/000454779},\n\tabstract = {Background/Aims: The use of electronic alerts (e-alerts) may increase the detection rate of acute kidney injury (AKI) since they are sensitive to small changes in serum creatinine. Our aim was to follow-up a cohort of patients presenting to hospital from the community with AKI (community-acquired AKI [c-AKI]), detected through the use of e-alerts, and describe their short-term outcomes regardless of whether they were subsequently admitted to hospital. Methods: Blood samples for all hospital attenders from the community either to the Accidents and Emergency department or one of the acute care areas of the hospital during a 6-month period (November 1, 2013-April 30, 2014) were screened for presence of c-AKI using a locally developed e-alerts system based on Kidney Disease: Improving Global Outcomes criteria. Follow-up data were obtained for a period of 3 months. Results: A total of 1,277 c-AKI episodes were identified in 1,185 patients (incidence 579 per 100,000 persons). 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