The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke

Urinary tract infection is a frequent problem after stroke. Although prior scoring systems for UTI after stroke have been developed, we developed a simple scoring system for all types of stroke in our own. The study was designed on retrospective data. The population includes 1496 patients with strok...

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Main Authors: In-Hui Pak, Se-Ryong Han, Chol-Ho Sin, Hyo-Song Kim, Un-Ryong Rim
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:International Journal of Endocrinology
Online Access:http://dx.doi.org/10.1155/2024/2512824
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author In-Hui Pak
Se-Ryong Han
Chol-Ho Sin
Hyo-Song Kim
Un-Ryong Rim
author_facet In-Hui Pak
Se-Ryong Han
Chol-Ho Sin
Hyo-Song Kim
Un-Ryong Rim
author_sort In-Hui Pak
collection DOAJ
description Urinary tract infection is a frequent problem after stroke. Although prior scoring systems for UTI after stroke have been developed, we developed a simple scoring system for all types of stroke in our own. The study was designed on retrospective data. The population includes 1496 patients with stroke who had been admitted at the Neurology Department of Pyongyang Medical College Hospital between January 2010 and August 2019. The patients were diagnosed with confirmed CT and MRI. Urinary tract infection (UTI) was diagnosed through urine culture: more than 100,100 colony-forming units per millimeter in patients with signs and symptoms. The UTI prediction scoring system was developed by means of the variables available on admission. The variables with significant difference between the non-UTI group and the UTI group were age (non-UTI versus UTI, 56.4 ± 7.2 vs. 59.0 ± 12.8; p<0.001), female (244 (24.2) vs. 176 (36.1), p<0.001), 300 ≦ SI (smoking index) (16 (2.4) vs. 48 (12.0), p<0.001), alcohol > 25 g/d (292 (29.0) vs. 184 (37.7), p<0.001), poststroke hyperglycemia (120 (10.3) vs. 163 (33.4), p<0.001), indwelling of urinary catheter (157 (15.6) vs. 351 (72.0), p<0.001), GCS (Glasgow Coma Scale) on admission (11.2 ± 3.9 vs. 8.5 ± 4.0, p=0.038), and WFNS (World Federation of Neurosurgeons) (in subarachnoid hemorrhage) on admission (2.9 ± 1.7 vs. 3.5 ± 1.5, p<0.001). The UTI prediction score ranged from 0 to 8 and produced an AUC (area under curve) of 0.800. The optimal cutoff point was 2.5 (sensitivity 64.3% and specificity 79.9%). So, the score ≧ 3 was the optimal score for the prediction of UTI after stroke.
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spelling doaj-art-4425664268f2442cb965f5ddd21c6d942025-02-03T10:24:55ZengWileyInternational Journal of Endocrinology1687-83452024-01-01202410.1155/2024/2512824The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with StrokeIn-Hui Pak0Se-Ryong Han1Chol-Ho Sin2Hyo-Song Kim3Un-Ryong Rim4Faculty of Biomedical EngineeringNeurology DepartmentNeurology DepartmentChongjin Medical College HospitalInstitute of EngineeringUrinary tract infection is a frequent problem after stroke. Although prior scoring systems for UTI after stroke have been developed, we developed a simple scoring system for all types of stroke in our own. The study was designed on retrospective data. The population includes 1496 patients with stroke who had been admitted at the Neurology Department of Pyongyang Medical College Hospital between January 2010 and August 2019. The patients were diagnosed with confirmed CT and MRI. Urinary tract infection (UTI) was diagnosed through urine culture: more than 100,100 colony-forming units per millimeter in patients with signs and symptoms. The UTI prediction scoring system was developed by means of the variables available on admission. The variables with significant difference between the non-UTI group and the UTI group were age (non-UTI versus UTI, 56.4 ± 7.2 vs. 59.0 ± 12.8; p<0.001), female (244 (24.2) vs. 176 (36.1), p<0.001), 300 ≦ SI (smoking index) (16 (2.4) vs. 48 (12.0), p<0.001), alcohol > 25 g/d (292 (29.0) vs. 184 (37.7), p<0.001), poststroke hyperglycemia (120 (10.3) vs. 163 (33.4), p<0.001), indwelling of urinary catheter (157 (15.6) vs. 351 (72.0), p<0.001), GCS (Glasgow Coma Scale) on admission (11.2 ± 3.9 vs. 8.5 ± 4.0, p=0.038), and WFNS (World Federation of Neurosurgeons) (in subarachnoid hemorrhage) on admission (2.9 ± 1.7 vs. 3.5 ± 1.5, p<0.001). The UTI prediction score ranged from 0 to 8 and produced an AUC (area under curve) of 0.800. The optimal cutoff point was 2.5 (sensitivity 64.3% and specificity 79.9%). So, the score ≧ 3 was the optimal score for the prediction of UTI after stroke.http://dx.doi.org/10.1155/2024/2512824
spellingShingle In-Hui Pak
Se-Ryong Han
Chol-Ho Sin
Hyo-Song Kim
Un-Ryong Rim
The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke
International Journal of Endocrinology
title The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke
title_full The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke
title_fullStr The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke
title_full_unstemmed The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke
title_short The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke
title_sort development of simple scoring system to predict urinary tract infection uti in patients with stroke
url http://dx.doi.org/10.1155/2024/2512824
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