Evidence map›Paper›PMID 37626308›Full record

ArticleBMC infectious diseases2023

Prognostic models for estimating severity of disease and predicting 30-day mortality of Hypervirulent Klebsiella pneumoniae infections: a bicentric retrospective study.

Jieen Huang, Yanzhu Chen, Ming Li, Shujin Xie, Huasheng Tong, Zhusheng Guo, Yi Chen

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 45% of its field
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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Frontiers in microbiology · 2026
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  6. O2a O-antigen type and sepsis in invasiveFrontiers in cellular and infection microbiology · 2026
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  7. Clinical characteristics, risk factors and prognosis ofFrontiers in cellular and infection microbiology · 2025
    Article
  8. Prognostic Factors and Nomogram forInfection and drug resistance · 2025
    Article
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

7 authors at 3 institutions in 1 country.

Jieen Huang *Department of Intensive Care Medicine, Binhaiwan Central Hospital of Dongguan, No.111, Humen Road, Humen Town, Dongguan City, Guangdong Province, China.
Yanzhu Chen *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Ming Li *Department of Laboratory Medicine, Binhaiwan Central Hospital of Dongguan, Dongguan City, Guangdong Province, China.
Shujin XieDepartment of Laboratory Medicine, Dongguan Tungwah Hospital, No.1, Dongcheng East Road, Dongguan City, Guangdong Province, China.
Huasheng TongDepartment of Emergency Medicine, General Hospital of Southern Theatre Command, No. 919, Renmin North Road, Yuexiu District, Guangzhou City, Guangdong Province, China. fimmuths@163.com.
Zhusheng GuoDepartment of Laboratory Medicine, Dongguan Tungwah Hospital, No.1, Dongcheng East Road, Dongguan City, Guangdong Province, China. gzs_2012@163.com.
Yi ChenDepartment of Intensive Care Medicine, Binhaiwan Central Hospital of Dongguan, No.111, Humen Road, Humen Town, Dongguan City, Guangdong Province, China. chenyi_icu@163.com.
Dongguan People’s Hospital · CNSouthern Medical University · CNSun Yat-sen University · CN

Funding

Guangdong Medical Research Foundation Grant No. C2021111
6 · The paper itself

Abstract

backgroundHypervirulent Klebsiella pneumoniae (hvKP) is emerging globally and can cause various, severe infections in healthy individuals. However, the clinical manifestations of hvKP infections are nonspecific, and there is no gold standard for differentiating hvKP strains. Our objective was to develop prognostic models for estimating severity of disease and predicting 30-day all-cause mortality in patients with hvKP infections.

methodsWe enrolled 116 patients diagnosed with hvKP infections and obtained their demographic and clinical data. Taking septic shock and acute respiratory distress syndrome (ARDS) as the primary outcomes for disease severity and 30-day all-cause mortality as the primary outcome for clinical prognosis, we explored the influencing factors and constructed prognostic models.

resultsThe results showed that increased Acute Physiologic and Chronic Health Evaluation (APACHE) II score [odds ratio (OR) = 1.146; 95% confidence interval (CI), 1.059-1.240], decreased albumin (ALB) level (OR = 0.867; 95% CI, 0.758-0.990), diabetes (OR = 9.591; 95% CI, 1.766-52.075) and high procalcitonin (PCT) level (OR = 1.051; 95%CI, 1.005-1.099) were independent risk factors for septic shock. And increased APACHE II score (OR = 1.254; 95% CI, 1.110-1.147), community-acquired pneumonia (CAP) (OR = 11.880; 95% CI, 2.524-55.923), and extrahepatic lesion involved (OR = 14.718; 95% CI, 1.005-215.502) were independent risk factors for ARDS. Prognostic models were constructed for disease severity with these independent risk factors, and the models were significantly correlated with continuous renal replacement therapy (CRRT) duration, vasopressor duration, mechanical ventilator duration and length of ICU stay. The 30-day all-cause mortality rate in our study was 28.4%. Younger age [hazard ratio (HR) = 0.947; 95% CI, 0.923-0.973)], increased APACHE II score (HR = 1.157; 95% CI, 1.110-1.207), and decreased ALB level (HR = 0.924; 95% CI, 0.869-0.983) were the independent risk factors for 30-day all-cause mortality. A prediction model for 30-day mortality was constructed, which had a good validation effect.

conclusionsWe developed validated models containing routine clinical parameters for estimating disease severity and predicting 30-day mortality in patients with hvKP infections and confirmed their calibration. The models may assist clinicians in assessing disease severity and estimating the 30-day mortality early.

Indexed as

Respiratory Distress SyndromeShock, SepticHumansKlebsiella pneumoniaePrognosisRetrospective StudiesSeverity of Illness IndexHypervirulent Klebsiella pneumoniaeInfectionsMortalityPrognostic modelSeverity

Identifiers

PMID37626308
PMCPMC10464203
OpenAlexW4386167307

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.