Research ExplorerPublicationsPredicting the Exception-CRP and Primary Hip Arthroplasty

Predicting the Exception-CRP and Primary Hip Arthroplasty

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Predicting the Exception-CRP and Primary Hip Arthroplasty. / Meier, Marc-Pascal; Bauer, Ina Juliana; Maheshwari, Arvind K; Husen, Martin; Jäckle, Katharina; Hubert, Jan; Hawellek, Thelonius; Lehmann, Wolfgang; Saul, Dominik.

In: J CLIN MED, Vol. 10, No. 21, 4985, 27.10.2021.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Meier, M-P, Bauer, IJ, Maheshwari, AK, Husen, M, Jäckle, K, Hubert, J, Hawellek, T, Lehmann, W & Saul, D 2021, 'Predicting the Exception-CRP and Primary Hip Arthroplasty', J CLIN MED, vol. 10, no. 21, 4985. https://doi.org/10.3390/jcm10214985

APA

Meier, M-P., Bauer, I. J., Maheshwari, A. K., Husen, M., Jäckle, K., Hubert, J., Hawellek, T., Lehmann, W., & Saul, D. (2021). Predicting the Exception-CRP and Primary Hip Arthroplasty. J CLIN MED, 10(21), [4985]. https://doi.org/10.3390/jcm10214985

Vancouver

Meier M-P, Bauer IJ, Maheshwari AK, Husen M, Jäckle K, Hubert J et al. Predicting the Exception-CRP and Primary Hip Arthroplasty. J CLIN MED. 2021 Oct 27;10(21). 4985. https://doi.org/10.3390/jcm10214985

Bibtex

@article{b700162b13774677872cd2e4d45f92fd,
title = "Predicting the Exception-CRP and Primary Hip Arthroplasty",
abstract = "BACKGROUND: While primary hip arthroplasty is the most common operative procedure in orthopedic surgery, a periprosthetic joint infection is its most severe complication. Early detection and prediction are crucial. In this study, we aimed to determine the value of postoperative C-reactive protein (CRP) and develop a formula to predict this rare, but devastating complication.METHODS: We retrospectively evaluated 708 patients with primary hip arthroplasty. CRP, white blood cell count (WBC), and several patient characteristics were assessed for 20 days following the operative procedure.RESULTS: Eight patients suffered an early acute periprosthetic infection. The maximum CRP predicted an infection with a sensitivity and specificity of 75% and 56.9%, respectively, while a binary logistic regression reached values of 75% and 80%. A multinominal logistic regression, however, was able to predict an early infection with a sensitivity and specificity of 87.5% and 78.9%. With a one-phase decay, 71.6% of the postoperative CRP-variance could be predicted.CONCLUSION: To predict early acute periprosthetic joint infection after primary hip arthroplasty, a multinominal logistic regression is the most promising approach. Including five parameters, an early infection can be predicted on day 5 after the operative procedure with 87.5% sensitivity, while it can be excluded with 78.9% specificity.",
author = "Marc-Pascal Meier and Bauer, {Ina Juliana} and Maheshwari, {Arvind K} and Martin Husen and Katharina J{\"a}ckle and Jan Hubert and Thelonius Hawellek and Wolfgang Lehmann and Dominik Saul",
year = "2021",
month = oct,
day = "27",
doi = "10.3390/jcm10214985",
language = "English",
volume = "10",
journal = "J CLIN MED",
issn = "2077-0383",
publisher = "MDPI AG",
number = "21",

}

RIS

TY - JOUR

T1 - Predicting the Exception-CRP and Primary Hip Arthroplasty

AU - Meier, Marc-Pascal

AU - Bauer, Ina Juliana

AU - Maheshwari, Arvind K

AU - Husen, Martin

AU - Jäckle, Katharina

AU - Hubert, Jan

AU - Hawellek, Thelonius

AU - Lehmann, Wolfgang

AU - Saul, Dominik

PY - 2021/10/27

Y1 - 2021/10/27

N2 - BACKGROUND: While primary hip arthroplasty is the most common operative procedure in orthopedic surgery, a periprosthetic joint infection is its most severe complication. Early detection and prediction are crucial. In this study, we aimed to determine the value of postoperative C-reactive protein (CRP) and develop a formula to predict this rare, but devastating complication.METHODS: We retrospectively evaluated 708 patients with primary hip arthroplasty. CRP, white blood cell count (WBC), and several patient characteristics were assessed for 20 days following the operative procedure.RESULTS: Eight patients suffered an early acute periprosthetic infection. The maximum CRP predicted an infection with a sensitivity and specificity of 75% and 56.9%, respectively, while a binary logistic regression reached values of 75% and 80%. A multinominal logistic regression, however, was able to predict an early infection with a sensitivity and specificity of 87.5% and 78.9%. With a one-phase decay, 71.6% of the postoperative CRP-variance could be predicted.CONCLUSION: To predict early acute periprosthetic joint infection after primary hip arthroplasty, a multinominal logistic regression is the most promising approach. Including five parameters, an early infection can be predicted on day 5 after the operative procedure with 87.5% sensitivity, while it can be excluded with 78.9% specificity.

AB - BACKGROUND: While primary hip arthroplasty is the most common operative procedure in orthopedic surgery, a periprosthetic joint infection is its most severe complication. Early detection and prediction are crucial. In this study, we aimed to determine the value of postoperative C-reactive protein (CRP) and develop a formula to predict this rare, but devastating complication.METHODS: We retrospectively evaluated 708 patients with primary hip arthroplasty. CRP, white blood cell count (WBC), and several patient characteristics were assessed for 20 days following the operative procedure.RESULTS: Eight patients suffered an early acute periprosthetic infection. The maximum CRP predicted an infection with a sensitivity and specificity of 75% and 56.9%, respectively, while a binary logistic regression reached values of 75% and 80%. A multinominal logistic regression, however, was able to predict an early infection with a sensitivity and specificity of 87.5% and 78.9%. With a one-phase decay, 71.6% of the postoperative CRP-variance could be predicted.CONCLUSION: To predict early acute periprosthetic joint infection after primary hip arthroplasty, a multinominal logistic regression is the most promising approach. Including five parameters, an early infection can be predicted on day 5 after the operative procedure with 87.5% sensitivity, while it can be excluded with 78.9% specificity.

U2 - 10.3390/jcm10214985

DO - 10.3390/jcm10214985

M3 - SCORING: Journal article

C2 - 34768504

VL - 10

JO - J CLIN MED

JF - J CLIN MED

SN - 2077-0383

IS - 21

M1 - 4985

ER -