Evidence map›Paper›PMID 33463771›Full record

ArticleJournal of clinical laboratory analysis2020

Evaluation of time to positivity for blood culture combined with immature granulocytes, neutrophil-to-lymphocyte ratio, and CRP in identifying bloodstream coagulase-negative Staphylococci infection in pediatric patients.

Lanlan Zeng, Shuhui Wang, Minchun Lin, Yaxing Chen, Qiulian Deng, Huamin Zhong, Xiaoshan Guan, Shuwen Yao, Haiying Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Lanlan ZengGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Shuhui WangGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Minchun LinGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yaxing ChenGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Qiulian DengGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huamin ZhongGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xiaoshan GuanGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Shuwen YaoGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Haiying LiuGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0001-5680-3492
Guangzhou Medical University · CN

Funding

Guangzhou Science and Technology Innovation Commission 201804010447
6 · The paper itself

Abstract

objectiveTo evaluate the application value of time to positivity (TTP) for blood culture combined with inflammatory parameters that included immature granulocyte percentage (IG%), immature granulocyte count (IG#), C-reactive protein (CRP), white blood cells (WBC) neutrophil percentage (NE%), and neutrophil-to-lymphocyte ratio (NLR), and to identify bloodstream infections from contamination with coagulase-negative staphylococci (CoNS) in pediatric patients.

methodsData of 12 897 inpatients with blood culture CoNS were retrospectively collected and analyzed from January-December 2019 at our hospital. According to pre-defined criteria, they were divided into a CoNS infection group (132 cases) and a CoNS contamination group (124 cases). Infection with Staphylococcus aureus (SA, 27 cases) at the same period was considered a positive control group. ROC curve analysis assisted in determining the value of applying TTP combined with the above-mentioned inflammatory parameters to distinguish CoNS infection from contamination.

resultsAmong the 256 strains of CoNS, Staphylococcus hominis (55.1%), Staphylococcus epidermidis (32.0%), and Staphylococcus capitis (7.0%) were common. There was no significant difference in the subspecies distribution between the infection and contamination groups. The TTP of the CoNS infection group was significantly lower than the contamination group (P < .05). IG%, IG#, CRP, NE%, and NLR were all higher in the infected group as compared to the contaminated group (P < .05), while WBC was similar among groups. There was also no statistical difference in those parameters when comparing the CoNS infection and SA groups. ROC analysis showed that TTP value in identifying CoNS infection from contamination was the highest with area under the curve (AUC) of 0.913, and the sensitivity and specificity were 0.827 and 0.852, respectively, at the optimal cutoff value of 23.9 hours. This was followed by IG% (AUC = 0.712), with an optimal critical value of 0.55%, and a sensitivity of 0.519 and specificity of 0.797. All the AUC values of IG#, CRP, NE%, and NLR were <0.7. A combination of TTP with IG%, CRP, and NLR improved the AUC, sensitivity, specificity, accuracy, PPV, and NPV values to 0.977, 0.922, 0.957, 91.8%, 92.2%, and 91.3%, respectively.

conclusionsTTP within 24 hours indicates likelihood of CoNS as the pathogenic agent in pediatric patient blood culture. The combination of TTP with IG% CRP and NLR might improve the diagnostic accuracy.

Indexed as

Blood CultureLeukocyte CountBacteremiaChildChild, PreschoolC-Reactive ProteinFemaleGranulocytesHumansInfantMaleRetrospective StudiesSensitivity and SpecificityStaphylococcal InfectionsStaphylococcusTime FactorsC-Reactive Proteinbloodstream infectioncoagulase‐negative staphylococcusimmature granulocytespediatric patientstime to positivity

Identifiers

PMID33463771
PMCPMC7676180
OpenAlexW3044781857

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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.