Evidence map›Paper›PMID 37596856›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2025

Population Sepsis Incidence, Mortality, and Trends in Hong Kong Between 2009 and 2018 Using Clinical and Administrative Data.

Lowell Ling, Jack Zhenhe Zhang, Lok Ching Chang, Lok Ching Sandra Chiu, Samantha Ho, Pauline Yeung Ng, Manimala Dharmangadan, Chi Ho Lau, Steven Ling, Man Yee Man and 13 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Lowell LingDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-6639-7344
Jack Zhenhe ZhangDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-7114-7761
Lok Ching ChangDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Lok Ching Sandra ChiuDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Samantha HoDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Pauline Yeung NgCritical Care Medicine Unit, The University of Hong Kong, Hong Kong SAR, China.
Manimala DharmangadanDepartment of Intensive Care, Princess Margaret Hospital, Hong Kong SAR, China.
Chi Ho LauDepartment of Intensive Care, North District Hospital, Hong Kong SAR, China.
Steven LingDepartment of Intensive Care, Tuen Mun Hospital, Hong Kong SAR, China.
Man Yee ManDepartment of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR, China.
Ka Man FongDepartment of Intensive Care, Queen Elizabeth Hospital, Hong Kong SAR, China.
Ting LiongDepartment of Intensive Care, United Christian Hospital, Hong Kong SAR, China.
Alwin Wai Tak YeungDepartment of Medicine and Geriatrics, Ruttonjee and Tang Shiu Kin Hospitals, Hong Kong SAR, China.
Gary Ka Fai AuDepartment of Intensive Care, Kwong Wah Hospital, Hong Kong SAR, China.
Jacky Ka Hing ChanDepartment of Medicine, Tseung Kwan O. Hospital, Hong Kong SAR, China.
Michele TangDepartment of Medicine and Geriatrics, Caritas Medical Centre, Hong Kong SAR, China.
Ying Zhi LiuDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
William Ka Kei WuDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Wai Tat WongDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Peng WuWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-1157-9401
Benjamin J CowlingWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-6297-7154
Anna LeeDepartment of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-2864-0045
Chanu RheeDepartment of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID 0000-0002-9537-4245

Funding

Health and Medical Research Fund of the Health Bureau of Hong Kong SAR Government 18190381
6 · The paper itself

Abstract

backgroundSepsis surveillance using electronic health record (EHR)-based data may provide more accurate epidemiologic estimates than administrative data, but experience with this approach to estimate population-level sepsis burden is lacking.

methodsThis was a retrospective cohort study including all adults admitted to publicly funded hospitals in Hong Kong between 2009 and 2018. Sepsis was defined as clinical evidence of presumed infection (clinical cultures and treatment with antibiotics) and concurrent acute organ dysfunction (≥2-point increase in baseline Sequential Organ Failure Assessment [SOFA] score). Trends in incidence, mortality, and case fatality risk (CFR) were modeled by exponential regression. Performance of the EHR-based definition was compared with 4 administrative definitions using 500 medical record reviews.

resultsAmong 13 540 945 hospital episodes during the study period, 484 541 (3.6%) had sepsis by EHR-based criteria with 22.4% CFR. In 2018, age- and sex-adjusted standardized sepsis incidence was 756 per 100 000 (relative change: +2.8%/y [95% CI: 2.0%-3.7%] between 2009 and 2018) and standardized sepsis mortality was 156 per 100 000 (relative change: +1.9%/y; 95% CI: .9%-2.8%). Despite decreasing CFR (relative change: -0.5%/y; 95% CI: -1.0%, -.1%), sepsis accounted for an increasing proportion of all deaths (relative change: +3.9%/y; 95% CI: 2.9%-4.8%). Medical record reviews demonstrated that the EHR-based definition more accurately identified sepsis than administrative definitions (area under the curve [AUC]: .91 vs .52-.55; P < .001).

conclusionsAn objective EHR-based surveillance definition demonstrated an increase in population-level standardized sepsis incidence and mortality in Hong Kong between 2009 and 2018 and was much more accurate than administrative definitions. These findings demonstrate the feasibility and advantages of an EHR-based approach for widescale sepsis surveillance.

Indexed as

SepsisAdultAgedAged, 80 and overElectronic Health RecordsFemaleHong KongHospitalizationHumansIncidenceMaleMiddle AgedRetrospective StudiesYoung Adultclinical codingepidemiologyinfectionsSepsis-3surveillance

Identifiers

PMID37596856
PMCPMC11797015

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.