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      Healthcare Utilization after Acute Kidney Injury in the Pediatric Intensive Care Unit

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          Abstract

          <div class="section"> <a class="named-anchor" id="d3478813e198"> <!-- named anchor --> </a> <h5 class="section-title" id="d3478813e199">Background and objectives</h5> <p id="d3478813e201">Little is known about the long-term burden of AKI in the pediatric intensive care unit. We aim to evaluate if pediatric AKI is associated with higher health service use post–hospital discharge. </p> </div><div class="section"> <a class="named-anchor" id="d3478813e203"> <!-- named anchor --> </a> <h5 class="section-title" id="d3478813e204">Design, setting, participants, &amp; measurements</h5> <p id="d3478813e206">This is a retrospective cohort study of children (≤18 years old) admitted to two tertiary centers in Montreal, Canada. Only the first admission per patient was included. AKI was defined in two ways: serum creatinine alone or serum creatinine and/or urine output. The outcomes were 30-day, 1-year, and 5-year hospitalizations, emergency room visits, and physician visits per person-time using provincial administrative data. Univariable and multivariable Poisson regression were used to evaluate AKI associations with outcomes. </p> </div><div class="section"> <a class="named-anchor" id="d3478813e208"> <!-- named anchor --> </a> <h5 class="section-title" id="d3478813e209">Results</h5> <p id="d3478813e211">A total of 2041 children were included (56% male, mean admission age 6.5±5.8 years); 299 of 1575 (19%) developed AKI defined using serum creatinine alone, and when urine output was included in the AKI definition 355 of 1622 (22%) children developed AKI. AKI defined using serum creatinine alone and AKI defined using serum creatinine and urine output were both associated with higher 1- and 5-year hospitalization risk (AKI by serum creatinine alone adjusted relative risk, 1.42; 95% confidence interval, 1.12 to 1.82; and 1.80; 1.54 to 2.11, respectively [similar when urine output was included]) and higher 5-year physician visits (adjusted relative risk, 1.26; 95% confidence interval, 1.14 to 1.39). AKI was not associated with emergency room use after adjustments. </p> </div><div class="section"> <a class="named-anchor" id="d3478813e213"> <!-- named anchor --> </a> <h5 class="section-title" id="d3478813e214">Conclusions</h5> <p id="d3478813e216">AKI is independently associated with higher hospitalizations and physician visits postdischarge. </p> </div><p class="first" id="d3478813e219"> <div class="fig panel" id="absf1"> <a class="named-anchor" id="absf1"> <!-- named anchor --> </a> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/d1f55592-4ecf-4e13-bb5a-309444b697db/PubMedCentral/image/CJN.09350817absf1"/> </div> <div class="panel-content"/> </div> </p>

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          AKI in hospitalized children: comparing the pRIFLE, AKIN, and KDIGO definitions.

          Although several standardized definitions for AKI have been developed, no consensus exists regarding which to use in children. This study applied the Pediatric RIFLE (pRIFLE), AKI Network (AKIN), and Kidney Disease Improving Global Outcomes (KDIGO) criteria to an anonymized cohort of hospitalizations extracted from the electronic medical record to compare AKI incidence and outcomes in intensive care unit (ICU) and non-ICU pediatric populations.
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            Validity of International Classification of Diseases, Ninth Revision, Clinical Modification Codes for Acute Renal Failure.

            Administrative and claims databases may be useful for the study of acute renal failure (ARF) and ARF that requires dialysis (ARF-D), but the validity of the corresponding diagnosis and procedure codes is unknown. The performance characteristics of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for ARF were assessed against serum creatinine-based definitions of ARF in 97,705 adult discharges from three Boston hospitals in 2004. For ARF-D, ICD-9-CM codes were compared with review of medical records in 150 patients with ARF-D and 150 control patients. As compared with a diagnostic standard of a 100% change in serum creatinine, ICD-9-CM codes for ARF had a sensitivity of 35.4%, specificity of 97.7%, positive predictive value of 47.9%, and negative predictive value of 96.1%. As compared with review of medical records, ICD-9-CM codes for ARF-D had positive predictive value of 94.0% and negative predictive value of 90.0%. It is concluded that administrative databases may be a powerful tool for the study of ARF, although the low sensitivity of ARF codes is an important caveat. The excellent performance characteristics of ICD-9-CM codes for ARF-D suggest that administrative data sets may be particularly well suited for research endeavors that involve patients with ARF-D.
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              Pediatric medical complexity algorithm: a new method to stratify children by medical complexity.

              The goal of this study was to develop an algorithm based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), codes for classifying children with chronic disease (CD) according to level of medical complexity and to assess the algorithm's sensitivity and specificity.
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                Author and article information

                Journal
                Clinical Journal of the American Society of Nephrology
                CJASN
                American Society of Nephrology (ASN)
                1555-9041
                1555-905X
                May 07 2018
                May 07 2018
                May 07 2018
                April 20 2018
                : 13
                : 5
                : 685-692
                Article
                10.2215/CJN.09350817
                5969475
                29678895
                a87d239e-e103-45c6-891c-ad9804365f52
                © 2018
                History

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