Poor performance status is a risk factor for higher detection of Gram positive coccus in stone-related pyelonephritis
Copyright © 2023 Japanese Society of Chemotherapy, Japanese Association for Infectious Diseases, and Japanese Society for Infection Prevention and Control. Published by Elsevier Ltd. All rights reserved..
INTRODUCTION: We aimed to investigate the detection rate of causative organisms in stone-related pyelonephritis and to compare their distribution according to patient backgrounds.
METHODS: We retrospectively identified patients with stone-related pyelonephritis. Clinical data were collected between November 2012 and August 2020 at Wakayama Medical University Hospital, including on patient backgrounds and causative organisms. Patients were categorized by Eastern Cooperative Oncology Group performance status (PS) as the good PS group (0, 1) and the poor PS group (2-4). Bacteria were divided into Gram-positive cocci (GPC) or non-GPC groups and logistic regression analysis was used to examine factors that predict detection of GPC.
RESULTS: Seventy-nine patients had stone-related pyelonephritis, 54 (68.4 %) in the good PS group and 25 (31.6 %) in the poor PS group. In the good PS group, Escherichia coli (67 %) was followed by Klebsiella species (9 %), while in the poor PS group, Escherichia coli (20 %) was followed by Enterococci and Staphylococci (12 %). GPC detection rate was significantly higher in the poor PS group than in the good PS group (40.0 % vs 14.8 %, p = 0.016), and multivariate logistic regression analysis showed that poor PS was an independent factor predicting detection of GPC (OR = 6.54, p = 0.02).
CONCLUSIONS: The distribution of the causative organisms in stone pyelonephritis was similar to that in common complicated urinary tract infections. Poor PS may be an independent predictor of GPC detection in patients with stone pyelonephritis.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:30 |
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Enthalten in: |
Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy - 30(2024), 6 vom: 01. Apr., Seite 526-530 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Kawabata, Hiroki [VerfasserIn] |
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Links: |
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Themen: |
Causative organism |
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Anmerkungen: |
Date Completed 22.04.2024 Date Revised 22.04.2024 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.jiac.2023.12.008 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM366135023 |
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520 | |a Copyright © 2023 Japanese Society of Chemotherapy, Japanese Association for Infectious Diseases, and Japanese Society for Infection Prevention and Control. Published by Elsevier Ltd. All rights reserved. | ||
520 | |a INTRODUCTION: We aimed to investigate the detection rate of causative organisms in stone-related pyelonephritis and to compare their distribution according to patient backgrounds | ||
520 | |a METHODS: We retrospectively identified patients with stone-related pyelonephritis. Clinical data were collected between November 2012 and August 2020 at Wakayama Medical University Hospital, including on patient backgrounds and causative organisms. Patients were categorized by Eastern Cooperative Oncology Group performance status (PS) as the good PS group (0, 1) and the poor PS group (2-4). Bacteria were divided into Gram-positive cocci (GPC) or non-GPC groups and logistic regression analysis was used to examine factors that predict detection of GPC | ||
520 | |a RESULTS: Seventy-nine patients had stone-related pyelonephritis, 54 (68.4 %) in the good PS group and 25 (31.6 %) in the poor PS group. In the good PS group, Escherichia coli (67 %) was followed by Klebsiella species (9 %), while in the poor PS group, Escherichia coli (20 %) was followed by Enterococci and Staphylococci (12 %). GPC detection rate was significantly higher in the poor PS group than in the good PS group (40.0 % vs 14.8 %, p = 0.016), and multivariate logistic regression analysis showed that poor PS was an independent factor predicting detection of GPC (OR = 6.54, p = 0.02) | ||
520 | |a CONCLUSIONS: The distribution of the causative organisms in stone pyelonephritis was similar to that in common complicated urinary tract infections. Poor PS may be an independent predictor of GPC detection in patients with stone pyelonephritis | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Causative organism | |
650 | 4 | |a Gram-positive cocci | |
650 | 4 | |a Patient background | |
650 | 4 | |a Performance status | |
650 | 4 | |a Stone-related pyelonephritis | |
700 | 1 | |a Iwahashi, Yuya |e verfasserin |4 aut | |
700 | 1 | |a Deguchi, Ryusuke |e verfasserin |4 aut | |
700 | 1 | |a Muraoka, Satoshi |e verfasserin |4 aut | |
700 | 1 | |a Wakamiya, Takahito |e verfasserin |4 aut | |
700 | 1 | |a Yamashita, Shimpei |e verfasserin |4 aut | |
700 | 1 | |a Kohjimoto, Yasuo |e verfasserin |4 aut | |
700 | 1 | |a Koizumi, Yusuke |e verfasserin |4 aut | |
700 | 1 | |a Shigemura, Katsumi |e verfasserin |4 aut | |
700 | 1 | |a Hara, Isao |e verfasserin |4 aut | |
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