Evidence map›Paper›PMID 31073407›Full record

ArticleJournal of intensive care2019

Variations in infection sites and mortality rates among patients in intensive care units with severe sepsis and septic shock in Japan.

Toshikazu Abe, Hiroshi Ogura, Shigeki Kushimoto, Atsushi Shiraishi, Takehiro Sugiyama, Gautam A Deshpande, Masatoshi Uchida, Isao Nagata, Daizoh Saitoh, Seitaro Fujishima and 24 more

Abstract read
In one paragraph

Article in Journal of intensive care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Beyond Septic Shock: Who Else Requires Immediate Antibiotics?American journal of respiratory and critical care medicine · 2024
    Article
  14. Article
  15. Sepsis among Adults Admitted to Intensive Care Unit of a Tertiary Care Centre.JNMA; journal of the Nepal Medical Association · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Sepsis heterogeneity.World journal of pediatrics : WJP · 2023
    Review
  20. Review
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

34 authors.

Toshikazu Abe1Department of General Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan.
Hiroshi Ogura3Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Shigeki Kushimoto4Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Atsushi Shiraishi5Emergency and Trauma Center, Kameda Medical Center, Kamogawa, Japan.
Takehiro Sugiyama2Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan.
Gautam A Deshpande1Department of General Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan.
Masatoshi Uchida2Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan.
Isao Nagata2Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan.
Daizoh Saitoh7Division of Traumatology, Research Institute, National Defense Medical College, Tokorozawa, Japan.
Seitaro Fujishima8Center for General Medicine Education, Keio University School of Medicine, Tokyo, Japan.
Toshihiko Mayumi9Department of Emergency Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Toru Hifumi10Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan.
Yasukazu Shiino11Department of Acute Medicine, Kawasaki Medical School, Kurashiki, Japan.
Taka-Aki Nakada12Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan.
Takehiko Tarui13Department of Trauma and Critical Care Medicine, Kyorin University School of Medicine, Mitaka, Japan.
Yasuhiro Otomo14Trauma and Acute Critical Care Center, Medical Hospital, Tokyo Medical and Dental University, Tokyo, Japan.
Kohji OkamotoDepartment of Surgery, Center for Gastroenterology and Liver Disease, Kitakyushu City Yahata Hospital, Kitakyushu, Japan.
Yutaka Umemura3Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Joji Kotani16Department of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Yuichiro Sakamoto17Emergency and Critical Care Medicine, Saga University Hospital, Saga, Japan.
Junichi Sasaki18Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan.
Shin-Ichiro ShiraishiDepartment of Emergency and Critical Care Medicine, Aizu Chuo Hospital, Aizuwakamatsu, Japan.
Kiyotsugu Takuma20Emergency & Critical Care Center, Kawasaki Municipal Kawasaki Hospital, Kawasaki, Japan.
Ryosuke Tsuruta21Advanced Medical Emergency & Critical Care Center, Yamaguchi University Hospital, Ube, Japan.
Akiyoshi HagiwaraDepartment of Emergency Medicine, Niizashiki Chuo General Hospital, Niiza, Japan.
Kazuma YamakawaDivision of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan.
Tomohiko Masuno24Department of Emergency and Critical Care Medicine, Nippon Medical School, Tokyo, Japan.
Naoshi Takeyama25Advanced Critical Care Center, Aichi Medical University Hospital, Nagakute, Japan.
Norio Yamashita26Advanced Emergency Medical Service Center, Kurume University Hospital, Kurume, Japan.
Hiroto Ikeda27Department of Emergency Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Masashi Ueyama28Department of Trauma, Critical Care Medicine, and Burn Center, Japan Community Healthcare Organization, Chukyo Hospital, Nagoya, Japan.
Satoshi FujimiDivision of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan.
Satoshi Gando29Division of Acute and Critical Care Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
JAAM FORECAST group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate and early identification of infection sites might help to drive crucial decisions regarding the treatment of sepsis. We aimed to determine the clinical and etiological features of infection according to sites among patients with severe sepsis in Japan.

methodsThis secondary analysis of a multicenter, prospective cohort study included 59 intensive care units (ICU) and proceeded between January 2016 and March 2017. The study cohort comprised 1184 adults (≥ 16 years) who were admitted to an ICU with severe sepsis and septic shock diagnosed according to the sepsis-2 criteria. Sites of infection diagnosed by physicians in charge at the time of arrival comprised the lung, abdomen, urinary tract, soft tissue, bloodstream, central nervous system (CNS), and undifferentiated infections. The primary outcome was in-hospital mortality.

resultsThe most common sites of infection were the lungs (31.0%), followed by intra-abdominal sites (26.3%), the urinary tract (18.4%), and soft tissue (10.9%). The characteristics of the patients with severe sepsis across seven major suspected infection sites were heterogeneous. Septic shock was more frequent among patients with intra-abdominal (72.2%) and urinary tract (70.2%) infections than other sites. The in-hospital mortality rate due to severe sepsis and septic shock of a pooled sample was 23.4% (range, 11.9% [urinary tract infection] to 47.6% [CNS infection]). After adjusting for clinical background, sepsis severity, and stratification according to the presence or absence of shock, variations in hospital mortality across seven major sites of infection remained essentially unchanged from those for crude in-hospital mortality; adjusted in-hospital mortality rates ranged from 7.7% (95%CI, - 0.3 to 15.8) for urinary tract infection without shock to 58.3% (95%CI, 21.0-95.7) for CNS infection with shock in a generalized estimating equation model. Intra-abdominal and urinary tract infections were statistically associated with less in-hospital mortality than pneumonia. Infections of the CNS were statistically associated with higher in-hospital mortality rates than pneumonia in a logistic regression model, but not in the generalized estimating equation model.

conclusionsIn-hospital mortality and clinical features of patients with severe sepsis and septic shock were heterogeneous according to sites of infection.

Indexed as

HeterogeneityInfectionSepsisSurvivalTherapy

Identifiers

PMID31073407
PMCPMC6500015

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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.