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Infection and Drug Resistance Volume 13, 2020 - Issue
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Original Research

The Impacts of Deep Surgical Site Infections on Readmissions, Length of Stay, and Costs: A Matched Case–Control Study Conducted in an Academic Hospital in the Netherlands

Abdul Khairul Rizki Purba1 Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands;2 University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, the Netherlands;3 Department of Pharmacology and Therapy, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia;4 Unit of Pharmacotherapy, -Epidemiology and -Economics (PTE2), Department of Pharmacy, Faculty of Science and Engineering, University of Groningen, Groningen, the NetherlandsCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-9372-2656
ORCID Icon,
Christian F Luz2 University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, the NetherlandsORCID Iconhttps://orcid.org/0000-0001-5809-5995
ORCID Icon,
Riyanti R Wulandari5 Department of Pharmacy, Dinas Kesehatan Kota Surabaya, Surabaya, Indonesia
,
Ieneke van der Gun2 University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, the NetherlandsORCID Iconhttps://orcid.org/0000-0001-5207-6814
ORCID Icon,
Jan-Willem Dik2 University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, the NetherlandsORCID Iconhttps://orcid.org/0000-0003-3258-8817
ORCID Icon,
Alex W Friedrich2 University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, the NetherlandsORCID Iconhttps://orcid.org/0000-0003-4881-038X
ORCID Icon &
Maarten J Postma1 Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands;3 Department of Pharmacology and Therapy, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia;4 Unit of Pharmacotherapy, -Epidemiology and -Economics (PTE2), Department of Pharmacy, Faculty of Science and Engineering, University of Groningen, Groningen, the Netherlands;6 Department of Economics, Econometrics and Finance, Faculty of Economics & Business, University of Groningen, Groningen, the Netherlands
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Pages 3365-3374 | Published online: 30 Sep 2020

Figures & data

Figure 1 Flow-chart depicting the process of selecting deep SSI (case) and the control.

Figure 1 Flow-chart depicting the process of selecting deep SSI (case) and the control.

Figure 2 Kaplan-Meier curve of the lengths-of-stay of dSSI patients and controls with non-SSIs (LogRank, p<0.001)

Note: There was no any hospital discharge after day-82 among dSSI patients

Figure 2 Kaplan-Meier curve of the lengths-of-stay of dSSI patients and controls with non-SSIs (LogRank, p<0.001)Note: There was no any hospital discharge after day-82 among dSSI patients

Table 1 Baseline Characteristics of Patients with dSSI and Non-SSI During Initial Admissions and Readmissions

Table 2 The Multivariate Logistic Regression Model for Length of Stay

Table 3 Hospitalization Cost per Patient Categorized by the Types of Surgery

Table 4 The Multivariate Logistic Regression Model for Deep Surgical-Site Infections

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