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ORIGINAL ARTICLE
Year : 2022  |  Volume : 19  |  Issue : 2  |  Page : 89-96

Albumin haemoglobin index: Anovel pre-operative marker for predicting mortality and hospital stay in patients under one-year undergoing gastrointestinal surgeries


Department of Paediatrics, Konya Training and Application Centre, Baskent University Medical Faculty, Baskent University, Konya, Turkey

Correspondence Address:
Dr. Musa Silahli
Saray Cd, Hocacihan Mh, No: 1, Selçuklu, Department of Paediatrics, Baskent University, Konya 42080
Turkey
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ajps.AJPS_4_21

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Aim: The aim of this study was to evaluate the mortality and morbidity of infants <1 year of age with intestinal obstruction requiring surgical intervention and to investigate the factors affecting mortality and hospital length of stay in paediatric surgery, including albumin-haemoglobin index. Patients and Methods: The records of gastrointestinal paediatric surgeries in the past 10 years of patients who were <1-year-old at Baskent University Konya Hospital were obtained from the hospital and retrospectively studied. Patient characteristics, especially the relationship between albumin haemoglobin index (AHI) and hospital duration and mortality, were examined. According to the surgical areas, it also subjected this relationship to further analysed in subgroups. Results: There were 144 cases who fulfilled the inclusion criteria. Pre-operative serum AHI was analysed using receiver operating characteristics (ROC) curve analyzes. In the ROC analysis, AHI had a diagnostic value in predicting case discharge rates (area under the curve: 0.755, P = 0.001). When the cut-off point was set at 46.18, the sensitivity of the test was 57.5% and the sensitivity for predicting survival was 84%. In the logistic regression model to estimate survival, the odds ratio of AHI was 1.063 (confidence interval: 1.020–1.108, P = 0.004). In subgroup analyzes, AHI positively predicted survival in the NEC group and in the other group. In a linear regression model analysing the effect of AHI on hospital stay of length, AHI explained 10% of the variance in the hospital stay of length variable and significantly and negatively influenced the hospital length variable (β = −0.319, P = 0.05). In the linear regression model for subgroup analyzes, AHI significantly and negatively predicted hospital length of stay in the NEC and pyloric surgery groups, but positively predicted hospital length of stay in the perforation group. Conclusion: The AHI can be used as a valuable marker to predict the likelihood of discharge and length of hospital stay in paediatric surgical cases <1-year-old.


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