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Application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery

BACKGROUND: Patients with prolonged and intense neutrophilia after spinal surgery are at high risk of developing surgical site infection (SSI). To date, there is no standard method for the objective assessment of the intensity and duration of neutrophilia. Thus, this retrospective observational stud...

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Autores principales: Inose, Hiroyuki, Kobayashi, Yutaka, Morishita, Shingo, Matsukura, Yu, Yuasa, Masato, Hirai, Takashi, Yoshii, Toshitaka, Okawa, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477575/
https://www.ncbi.nlm.nih.gov/pubmed/34579693
http://dx.doi.org/10.1186/s12893-021-01345-6
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author Inose, Hiroyuki
Kobayashi, Yutaka
Morishita, Shingo
Matsukura, Yu
Yuasa, Masato
Hirai, Takashi
Yoshii, Toshitaka
Okawa, Atsushi
author_facet Inose, Hiroyuki
Kobayashi, Yutaka
Morishita, Shingo
Matsukura, Yu
Yuasa, Masato
Hirai, Takashi
Yoshii, Toshitaka
Okawa, Atsushi
author_sort Inose, Hiroyuki
collection PubMed
description BACKGROUND: Patients with prolonged and intense neutrophilia after spinal surgery are at high risk of developing surgical site infection (SSI). To date, there is no standard method for the objective assessment of the intensity and duration of neutrophilia. Thus, this retrospective observational study aimed to test a new index (I-index), developed by combining the duration and intensity of neutrophilia, as a predictor of SSI. METHODS: I-index was calculated based on the postoperative neutrophil percentage. A total of 17 patients with SSI were enrolled as cases, and 51 patients without SSI were selected as controls. The groups were matched at a ratio of 1:3 by age, sex, and surgery type. The differences in the I-index were compared between the groups. Moreover, we checked the cumulative I-index (c-I-index), which we defined as the area under the neutrophil curve from postoperative day 1 until the first clinical manifestation of SSI in each case. Furthermore, a cutoff for SSI was defined using the receiver operating characteristic curve. RESULTS: The median I-index-7, I-index-14, and c-I-index were significantly higher in the SSI group than those in the control group. For a cutoff point of 42.1 of the I-index-7, the sensitivity and specificity were 0.706 and 0.882, respectively. For a cutoff point of 45.95 of the I-index-14, the sensitivity and specificity were 0.824 and 0.804, respectively. For a cutoff point of 45.95 of the c-I-index, the sensitivity and specificity were 0.824 and 0.804, respectively. CONCLUSION: We devised a new indicator of infection, i.e., the I-Index and c-I-index, and confirmed its usefulness in predicting SSI.
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spelling pubmed-84775752021-09-29 Application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery Inose, Hiroyuki Kobayashi, Yutaka Morishita, Shingo Matsukura, Yu Yuasa, Masato Hirai, Takashi Yoshii, Toshitaka Okawa, Atsushi BMC Surg Research BACKGROUND: Patients with prolonged and intense neutrophilia after spinal surgery are at high risk of developing surgical site infection (SSI). To date, there is no standard method for the objective assessment of the intensity and duration of neutrophilia. Thus, this retrospective observational study aimed to test a new index (I-index), developed by combining the duration and intensity of neutrophilia, as a predictor of SSI. METHODS: I-index was calculated based on the postoperative neutrophil percentage. A total of 17 patients with SSI were enrolled as cases, and 51 patients without SSI were selected as controls. The groups were matched at a ratio of 1:3 by age, sex, and surgery type. The differences in the I-index were compared between the groups. Moreover, we checked the cumulative I-index (c-I-index), which we defined as the area under the neutrophil curve from postoperative day 1 until the first clinical manifestation of SSI in each case. Furthermore, a cutoff for SSI was defined using the receiver operating characteristic curve. RESULTS: The median I-index-7, I-index-14, and c-I-index were significantly higher in the SSI group than those in the control group. For a cutoff point of 42.1 of the I-index-7, the sensitivity and specificity were 0.706 and 0.882, respectively. For a cutoff point of 45.95 of the I-index-14, the sensitivity and specificity were 0.824 and 0.804, respectively. For a cutoff point of 45.95 of the c-I-index, the sensitivity and specificity were 0.824 and 0.804, respectively. CONCLUSION: We devised a new indicator of infection, i.e., the I-Index and c-I-index, and confirmed its usefulness in predicting SSI. BioMed Central 2021-09-27 /pmc/articles/PMC8477575/ /pubmed/34579693 http://dx.doi.org/10.1186/s12893-021-01345-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Inose, Hiroyuki
Kobayashi, Yutaka
Morishita, Shingo
Matsukura, Yu
Yuasa, Masato
Hirai, Takashi
Yoshii, Toshitaka
Okawa, Atsushi
Application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery
title Application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery
title_full Application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery
title_fullStr Application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery
title_full_unstemmed Application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery
title_short Application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery
title_sort application of an index derived from the area under a neutrophil curve as a predictor of surgical site infection after spinal surgery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477575/
https://www.ncbi.nlm.nih.gov/pubmed/34579693
http://dx.doi.org/10.1186/s12893-021-01345-6
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