Early prediction of post cesarean section infection using simple hematological biomarkers: A case control study.


Journal

European journal of obstetrics, gynecology, and reproductive biology
ISSN: 1872-7654
Titre abrégé: Eur J Obstet Gynecol Reprod Biol
Pays: Ireland
ID NLM: 0375672

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 09 09 2019
revised: 24 11 2019
accepted: 22 12 2019
pubmed: 31 12 2019
medline: 1 12 2020
entrez: 30 12 2019
Statut: ppublish

Résumé

We aimed to investigate whether the neutrophil to lymphocyte ratio (NLR) may assist in the prediction of post CS infections. This was a case control study performed at the Soroka University Medical Center, a large tertiary teaching medical center, between the years 2012-2016. Cases (post CS infection) were matched to controls (without post CS infection) in a proportion of 2:1. Matching was done according to surgery setting (elective vs. urgent) and date of surgery. Various demographic, clinical and obstetrical characteristics were collected. Laboratory tests that were taken 6-24 h postoperatively were compared between the study groups. Univariate analysis was followed by a multivariate one. Area under the curve was calculated for selected indices. During the study period 113 patients who developed postoperative infection were compared with 224 healthy controls. Among patients in the study group, 71.7 % were diagnosed with surgical site infection, 7.1 % with endometritis and 21.2 % with other infections. Total neutrophil and lymphocyte counts were significantly higher among patient in the study group. NLR as well as platelet to lymphocyte (PLR) ratio were significantly higher among patients during the first 24 postoperative hours. NLR and PLR were found to be independently associated with post CS infection controlling for surgery length, use of hemostatic agents/adhesion barrier and skin closure technique (aOR 1.11 95 % CI 1.06-1.17, aOR 1.004 95 % CI 1.001-1.006, respectively). A performance analysis for NLR showed an area-under-the receiver operating curve (AUC) of 67 % (P = 0.006). NLR is an easy readily available tool that may have a predictive value in early detection of post CS infection. Further studies are needed in order to support our findings before clinical implications of these findings can be recommended.

Identifiants

pubmed: 31884150
pii: S0301-2115(19)30576-7
doi: 10.1016/j.ejogrb.2019.12.009
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

84-88

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors report no conflict of interests.

Auteurs

Reut Rotem (R)

Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated with the Hebrew University Medical School of Jerusalem, Israel.

Miriam Erenberg (M)

Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Misgav Rottenstreich (M)

Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated with the Hebrew University Medical School of Jerusalem, Israel. Electronic address: misgavr@gmail.com.

David Segal (D)

Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Zehava Yohay (Z)

Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Inbal Idan (I)

Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

David Yohay (D)

Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Adi Y Weintraub (AY)

Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

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