A cross-sectional study on the prevalence of healthcare-associated infections in medical institutions of Sichuan Province in 2025_West China Medical Journal

Authors：

TAO Siyuan ^1,2,3,4 , LI Jingwen ^1,2,3 , LIN Ji ^1,2,3 , CHEN Yi ^1,2,3 ,  QIAO Fu ^1,2,3

1. Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
2. Department of Infection Control, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
3. Sichuan Provincial Center for Quality Control of Healthcare-Associated Infection Management, Chengdu, Sichuan 610041, P. R. China;
4. Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding?author：

QIAO Fu, Email: qiaofu2005@scu.edu.cn

Keywords：

Healthcare-associated infection; cross-sectional study; prevalence rate

DOI：

10.7507/1002-0179.202603001

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Objective To understand the prevalence of healthcare-associated infections in medical institutions in Sichuan Province, and to provide data support for formulating prevention and control strategies. Methods A combination of bedside investigation and medical record review was adopted to investigate the prevalence of healthcare-associated infections across Sichuan Province on specific survey days from June 18 to November 30, 2025. Results A total of 276 626 inpatients from 750 medical institutions across the province participated in the survey in 2025. A total of 2 969 cases and 3 175 episodes of healthcare-associated infections were identified, with a healthcare-associated infection prevalence rate of 1.07% and an episode prevalence rate of 1.15%.The prevalence rates of medical institutions of different bed sizes ranged from 0.46% to 1.70%; the healthcare-associated infection prevalence rates of medical institutions in various cities and prefectures ranged from 0.52% to 1.58%; the top five departments with the highest infection prevalence rates were general intensive care unit (7.76%), neurosurgery department (5.07%), hematology department (4.01%), stomatology department (3.30%) and thoracic surgery department (2.55%); the prevalence rate of surgical site infections in Class Ⅰ incisions ranged from 0.59% to 1.26%; the main infection site was the lower respiratory tract (51.37%), followed by the urinary tract (14.11%), upper respiratory tract (5.51%), skin and soft tissues (5.29%) and bloodstream infections (5.13%); the top five pathogens detected in terms of quantity were Escherichia coli (16.92%), Pseudomonas aeruginosa (15.76%), Klebsiella pneumoniae (15.62%), Acinetobacter baumannii (9.89%) and Staphylococcus aureus (9.48%); the usage rate of antibiotics in the province on the survey day was 28.27%, and the inspection rate of antibiotic treatment was 60.51%. Conclusions The prevalence rate of healthcare-associated infections in medical institutions in Sichuan Province has been continuously decreasing. And this survey has provided important baseline data on healthcare-associated infections for medical institutions at all levels in Sichuan Province, and has positive significance for promoting the continuous quality improvement of infection control work.

Citation： TAO Siyuan, LI Jingwen, LIN Ji, CHEN Yi, QIAO Fu. A cross-sectional study on the prevalence of healthcare-associated infections in medical institutions of Sichuan Province in 2025. West China Medical Journal, 2026, 41(9): 1494-1499. doi: 10.7507/1002-0179.202603001 Copy

1.	陳利, 劉琳琳, 付萌萌, 等. 2017—2023 年四川省某三甲醫院感染現患率調查分析[J]. 右江醫學, 2025, 53(3): 239-244.
2.	裴小琴, 郭華, 呂宇, 等. 2018—2022 年成都地區醫院感染現患率調查[J]. 中華醫院感染學雜志, 2024, 34(15): 2387-2393.
3.	曾翠, 高武強, 喬甫, 等. 2024 年全國 5736 所醫療機構醫院感染橫斷面調查分析[J]. 中國感染控制雜志, 2025, 24(11): 1572-1583.
4.	Zingg W, Huttner BD, Sax H, et al. Assessing the burden of healthcare-associated infections through prevalence studies: what is the best method?[J]. Infect Control Hosp Epidemiol, 2014, 35(6): 674-684.
5.	醫院感染監測標準 WS/T312—2023[J]. 中國感染控制雜志, 2023, 22(9): 1129-1142.
6.	醫院感染診斷標準(試行)[J]. 中華醫學雜志, 2001(5): 61-67.
7.	郭燕, 丁麗, 胡付品, 等. 2024 年 CHINET 中國細菌耐藥監測[J]. 中國感染與化療雜志, 2025, 25(6): 597-607.
8.	劉可可, 包金正, 黃勛, 等. 山東省 2014—2024 年多中心醫院感染現患率調查研究[J]. 中華醫院感染學雜志, 2025, 36(5): 769-773.
9.	慕彩妮, 周蕊, 王曉艷, 等. 2022 年陜西省 159 所醫療機構醫院感染現患率調查[J]. 中華醫院感染學雜志, 2024, 34(18): 2807-2811.
10.	肖佳慶, 林玲, 任慧, 等. 2018 年黑龍江省 74 所醫院醫院感染現患率調查[J]. 中華醫院感染學雜志, 2020, 30(10): 1569-1573.
11.	王玥瑤, 梁澤, 楊超, 等. 中國跨區域就醫的空間格局與影響因素分析——以慢性腎臟病為例[J]. 地理研究, 2023, 42(7): 1828-1841.
12.	Chuwa AH. Healthcare-associated infections in a tertiary care hospital: significance of patient referral practices[J]. East Afr Health Res J, 2024, 8(1): 111-115.
13.	中華人民共和國衛生行業標準醫院感染監測規范[J]. 中華醫院感染學雜志, 2009, 19(11): 1313-1314.
14.	Vincent JL, Rello J, Marshall J, et al. International study of the prevalence and outcomes of infection in intensive care units[J]. JAMA, 2009, 302(21): 2323-2329.
15.	Magill SS, Edwards JR, Bamberg W, et al. Multistate point-prevalence survey of health care-associated infections[J]. N Engl J Med, 2014, 370(13): 1198-1208.
16.	Rafa E, Ko?pa M, Wa?aszek MZ, et al. Healthcare-acquired infection surveillance in neurosurgery patients, incidence and microbiology, five years of experience in two polish units[J]. Int J Environ Res Public Health, 2022, 19(12): 7544.
17.	Imperatori A, Nardecchia E, Dominioni L, et al. Surgical site infections after lung resection: a prospective study of risk factors in 1, 091 consecutive patients[J]. J Thorac Dis, 2017, 9(9): 3222-3231.
18.	程棣妍, 喬甫. 世界衛生組織《感染預防與控制專業人員核心能力》實踐路徑[J]. 華西醫學, 2023, 38(3): 326-337.
19.	Netelenbos T, Massey E, de Wreede LC, et al. The burden of invasive infections in neutropenic patients: incidence, outcomes, and use of granulocyte transfusions[J]. Transfusion, 2019, 59(1): 160-168.
20.	黃蕾, 陳德欽, 吳杰龍, 等. 2015—2023 年廈門市二級及以上醫院醫院感染現患率連續調查[J]. 中華醫院感染學雜志, 2025, 35(2): 270-275.
21.	Magill SS, O’Leary E, Janelle SJ, et al. Changes in prevalence of health care–associated infections in U. S. hospitals[J]. N Engl J Med, 2018, 379(18): 1732-1744.
22.	Zingg W, Metsini A, Balmelli C, et al. National point prevalence survey on healthcare-associated infections in acute care hospitals, switzerland, 2017[J]. Euro Surveill, 2019, 24(32): 1800603.
23.	Bai L, Xu T, Zhang W, et al. Abundant geographical divergence of clostridioides difficile infection in China: a prospective multicenter cross-sectional study[J]. BMC Infect Dis, 2025, 25: 185 (1): 185.
24.	蔣飛, 李淑艷, 顧昊, 等. 某市 32 所醫院住院患者抗菌藥物治療前病原學送檢管理現狀調查[J]. 中華醫院感染學雜志, 2025, 35(6): 928-932.

1. 陳利, 劉琳琳, 付萌萌, 等. 2017—2023 年四川省某三甲醫院感染現患率調查分析[J]. 右江醫學, 2025, 53(3): 239-244.
2. 裴小琴, 郭華, 呂宇, 等. 2018—2022 年成都地區醫院感染現患率調查[J]. 中華醫院感染學雜志, 2024, 34(15): 2387-2393.
3. 曾翠, 高武強, 喬甫, 等. 2024 年全國 5736 所醫療機構醫院感染橫斷面調查分析[J]. 中國感染控制雜志, 2025, 24(11): 1572-1583.
4. Zingg W, Huttner BD, Sax H, et al. Assessing the burden of healthcare-associated infections through prevalence studies: what is the best method?[J]. Infect Control Hosp Epidemiol, 2014, 35(6): 674-684.
5. 醫院感染監測標準 WS/T312—2023[J]. 中國感染控制雜志, 2023, 22(9): 1129-1142.
6. 醫院感染診斷標準(試行)[J]. 中華醫學雜志, 2001(5): 61-67.
7. 郭燕, 丁麗, 胡付品, 等. 2024 年 CHINET 中國細菌耐藥監測[J]. 中國感染與化療雜志, 2025, 25(6): 597-607.
8. 劉可可, 包金正, 黃勛, 等. 山東省 2014—2024 年多中心醫院感染現患率調查研究[J]. 中華醫院感染學雜志, 2025, 36(5): 769-773.
9. 慕彩妮, 周蕊, 王曉艷, 等. 2022 年陜西省 159 所醫療機構醫院感染現患率調查[J]. 中華醫院感染學雜志, 2024, 34(18): 2807-2811.
10. 肖佳慶, 林玲, 任慧, 等. 2018 年黑龍江省 74 所醫院醫院感染現患率調查[J]. 中華醫院感染學雜志, 2020, 30(10): 1569-1573.
11. 王玥瑤, 梁澤, 楊超, 等. 中國跨區域就醫的空間格局與影響因素分析——以慢性腎臟病為例[J]. 地理研究, 2023, 42(7): 1828-1841.
12. Chuwa AH. Healthcare-associated infections in a tertiary care hospital: significance of patient referral practices[J]. East Afr Health Res J, 2024, 8(1): 111-115.
13. 中華人民共和國衛生行業標準醫院感染監測規范[J]. 中華醫院感染學雜志, 2009, 19(11): 1313-1314.
14. Vincent JL, Rello J, Marshall J, et al. International study of the prevalence and outcomes of infection in intensive care units[J]. JAMA, 2009, 302(21): 2323-2329.
15. Magill SS, Edwards JR, Bamberg W, et al. Multistate point-prevalence survey of health care-associated infections[J]. N Engl J Med, 2014, 370(13): 1198-1208.
16. Rafa E, Ko?pa M, Wa?aszek MZ, et al. Healthcare-acquired infection surveillance in neurosurgery patients, incidence and microbiology, five years of experience in two polish units[J]. Int J Environ Res Public Health, 2022, 19(12): 7544.
17. Imperatori A, Nardecchia E, Dominioni L, et al. Surgical site infections after lung resection: a prospective study of risk factors in 1, 091 consecutive patients[J]. J Thorac Dis, 2017, 9(9): 3222-3231.
18. 程棣妍, 喬甫. 世界衛生組織《感染預防與控制專業人員核心能力》實踐路徑[J]. 華西醫學, 2023, 38(3): 326-337.
19. Netelenbos T, Massey E, de Wreede LC, et al. The burden of invasive infections in neutropenic patients: incidence, outcomes, and use of granulocyte transfusions[J]. Transfusion, 2019, 59(1): 160-168.
20. 黃蕾, 陳德欽, 吳杰龍, 等. 2015—2023 年廈門市二級及以上醫院醫院感染現患率連續調查[J]. 中華醫院感染學雜志, 2025, 35(2): 270-275.
21. Magill SS, O’Leary E, Janelle SJ, et al. Changes in prevalence of health care–associated infections in U. S. hospitals[J]. N Engl J Med, 2018, 379(18): 1732-1744.
22. Zingg W, Metsini A, Balmelli C, et al. National point prevalence survey on healthcare-associated infections in acute care hospitals, switzerland, 2017[J]. Euro Surveill, 2019, 24(32): 1800603.
23. Bai L, Xu T, Zhang W, et al. Abundant geographical divergence of clostridioides difficile infection in China: a prospective multicenter cross-sectional study[J]. BMC Infect Dis, 2025, 25: 185 (1): 185.
24. 蔣飛, 李淑艷, 顧昊, 等. 某市 32 所醫院住院患者抗菌藥物治療前病原學送檢管理現狀調查[J]. 中華醫院感染學雜志, 2025, 35(6): 928-932.

West China Medical Journal

A cross-sectional study on the prevalence of healthcare-associated infections in medical institutions of Sichuan Province in 2025

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content