| Literature DB >> 34332632 |
Ines Unterfrauner1,2, Laura A Hruby3, Peter Jans4, Ludwig Steinwender5, Mazda Farshad3, Ilker Uçkay5,6.
Abstract
BACKGROUND: A total lockdown for pandemic SARS-CoV-2 (Covid-19) entailed a restriction of elective orthopedic surgeries in Switzerland. While access to the hospital and human contacts were limited, hygiene measures were intensified. The objective was to investigate the impact of those strict public health guidelines on the rate of intra-hospital, deep surgical site infections (SSI), wound healing disorders and non-infectious postoperative complications after orthopedic surgery during the first Covid-19 lockdown.Entities:
Keywords: Covid-19; Deep surgical site infections; First epidemic wave; Healthcare-associated infections; Orthopedic surgery; Pandemic; Postoperative complications; SARS-CoV-2; Total lockdown; Wound healing disorders
Year: 2021 PMID: 34332632 PMCID: PMC8325206 DOI: 10.1186/s13756-021-00982-z
Source DB: PubMed Journal: Antimicrob Resist Infect Control ISSN: 2047-2994 Impact factor: 4.887
Fig. 1The epidemic curve of the first wave of Covid-19 in Switzerland.
Adapted from reference [3]
Crude group comparison of orthopedic surgeries before, during and after the lockdown
| Pre-lockdown | Lockdown | Post-lockdown | ||
|---|---|---|---|---|
| n = 5791 | n = 2688 | n = 230 | n = 2873 | |
| Female sex | 1311 (49%) | 106 (46%) | 1396 (49%) | 0.74 |
| Median age | 53 years (18) | 54 years (17) | 53 years (18) | 0.51 |
| Diabetes mellitus | 213 (8%) | 27 (12%) | 281 (10%) | |
| Median body mass index | 27.0 kg/m2 (5.3) | 26.8 kg/m2 (6.0) | 27.0 kg/m2 (5.3) | 0.36 |
| ASA-Score of 4 points | 25 (1%) | 5 (2%) | 83 (3%) | |
| Knee | 526 (20%) | 37 (16%) | 541 (19%) | |
| Foot and Ankle | 523 (20%) | 24 (10%) | 571 (20%) | |
| Spine | 490 (18%) | 56 (24%) | 523 (18%) | |
| Shoulder and Elbow | 385 (14%) | 39 (17%) | 402 (14%) | |
| Primary surgery | 1250 (47%) | 108 (47%) | 1352 (47%) | 0.66 |
| Median duration of surgery | 86 min (52) | 89 min (53) | 85 min (53) | 0.33 |
| Median duration of hospital stay | 4.2 days (5.4) | 4.5 days (7.3) | 4.3 days (6.1) | 0.17 |
| Revision for deep surgical site infection | 26 (1%) | 4 (2%) | 13 (0.5%) | |
| Revision for wound healing disorders | 19 (0.7%) | 1 (0.4%) | 19 (0.7%) | 0.88 |
| Revision for non-infectious complication | 138 (5%) | 8 (3%) | 79 (3%) | |
| Bacterial pneumonia | 9 (0.3%) | 1 (0.4%) | 13 (0.5%) | 0.78 |
| Urinary tract infections | 7 (0.3%) | 7 (3%) | 13 (0.5%) | |
| Secondary bloodstream infections | 3 (0.1%) | 1 (0.4%) | 4 (0.1%) | 0.44 |
Percentages respectively standard deviations are given in brackets
Significant results (p < 0.05) are indicated
aKruskal–Wallis-tests
Fig. 2Flowchart of the analyses. SSI = surgical site infection; wound healing disorders = substantial necrosis, uninfected dehiscence and/or hematoma necessitating surgical drainage; other complications = recurrence of disease, residual symptoms and/or intervention-specific complications
Univariate and multivariate associations with the stratified outcomes “SSI”, "non-infectious wound healing disorders" and "other non-infectious complications" (Cox regression analyses; results expressed as hazard ratios with 95% confidence intervals)
| Variables | SSI (n = 43) | Wound healing disorders (n = 39) | Other complications (n = 225) | |||
|---|---|---|---|---|---|---|
| Univariate | Multivariate | Univariate | Multivariate | Univariate | Multivariate | |
| Female sex | 1.0, 0.6–1.8 | 1.1, 0.6–2.0 | 0.7, 0.3–1.3 | 0.6, 0.3–1.3 | 1.0, 0.8–1.3 | 1.0, 0.8–1.4 |
| Age ( | 1.0, 1.0–1.0 | 1.0, 1.0–1.0 | 1.0, 1.0–1.0 | 1.0, 1.0–1.0 | 1.0, 1.0–1.0 | 1.0, 1.0–1.0 |
| Diabetes mellitus | 2.1, 0.9–4.9 | 1.4, 0.5–3.7 | 1.2, 0.7–1.8 | 0.8, 0.5–1.3 | ||
| Body mass index ( | 1.0, 1.0–1.1 | 1.0, 0.9–1.1 | 1.0, 1.0–1.0 | |||
| ASA ( | - | - | - | |||
| ASA 2 compared to Score 1 | 1.4, 0.5–3.8 | 1.4, 0.5–3.9 | 3.0, 0.7–13.0 | 2.1, 0.4–9.9 | 1.1, 0.8–1.7 | 1.1, 0.7–1.7 |
| ASA 3 compared to Score 1 | 2.4, 0.7–8.5 | 3.3, 0.6–19.0 | 1.7, 1.0–3.0 | |||
| ASA 4 compared to Score 1 | 3.9, 0.8–20.6 | 3.9, 0.6–26.9 | 4.9, 0.4–54.5 | 3.0, 0.2–44.1 | 1.8, 0.7–4.3 | 1.8, 0.6–5.2 |
| Revision surgery | 0.3, 0.1–2.0 | - | 0.5, 0.2–1.8 | 0.6, 0.2–2.1 | 1.0, 0.6–1.4 | 0.7, 0.3–1.5 |
| Duration of surgery | 1 | - | 1 | - | 1 | - |
| 0.5–0.8 h compared to < 0.5 h | 1.9,0.8–4.3 | 1.9, 0.8–4.6 | ||||
| > 0.8 h compared to < 0.5 h | ||||||
| Study period | 1 | - | 1 | - | 1 | - |
| Lockdown vs. Pre-Lockdown | 1.8, 0.6–5.2 | 1.6, 0.6–4.8 | 0.6, 0.1–4.6 | 0.7, 0.1–5.7 | 0.7, 0.3–1.4 | 0.7, 0.3–1.5 |
| Post-lockdown vs. Pre-Lockdown | 0.9, 0.5–1.8 | 0.9, 0.4–1.9 | ||||
Statistically significant results are displayed
In the first multivariate model, the group of SSI was compared to all other non-infected surgery episodes. In the second analysis, non-infectious wound problems were compared to all episodes without SSI or wound problems, and in the last analysis, all local complications versus all uneventful surgeries
“–“ = not included. SSI = surgical site infection
Literature review of deep surgical site infections (SSI), other healthcare-associated infections (HAI) and hand hygiene performances during the first lockdown for pandemic Covid-19 (limited to publications with own observed data)
| Journal | First author | Before lockdown | During lockdown | Remarks |
|---|---|---|---|---|
| Asian Annals | Hussain et al. [ | 2.9% | 0.8% | Sternal wound SSI after cardiac surgery |
| Updates Surg | Losurdo et al. [ | 3.4% | 0.8% | General surgery in Trieste, Italy |
| J Neurol Sci | Cerulli Irelli et al. [ | 31.5% | 23.3% | All HAI together in Stroke Units in Italy |
| Am J Infect Control | Wee et al. [ | Baseline 100% | 24% | Reduced catheter-related bacteremias |
| Am J Infect Control | Bentivegna et al. [ | Baseline 100% | 50–71% | Reduction of |
| Infect Control Hospital Epid | Ponce-Alonso et al. [ | Baseline 100% | 30% | Reduction of |
| Int J Infect Dis | Lo et al. [ | Baseline | Baseline | All HAI together. Not quantified |
| J Orthop Surg Res | Zeng et al. [ | 1.0% | 1.0% | SSI orthopaedic surgery in Shenzen, China |
| Am J Infect Control | McMullen et al. [ | Baseline 100% | 157–279% | Increase in urinary tract infections |
| Am J Infect Control | McMullen et al. [ | Baseline 100% | 327–420% | Catheter-related bloodstream infections |
| Am J Infect Control | Moore et al. [ | 46% compliance | 56% compliance | No data on HAI or SSI; 19 hospitals in USA |
| Clin Microbiol Infect | Israel et al. [ | 46% compliance | 80% compliance | No data on HAI or SSI; Covid-Units in Jerusalem |
| J Primary Care Comm Health | Roshan et al. [ | unreported baseline | 80–95% | No data on HAI or SSI. Mention of their reduction |
| Am J Infect Control | Wee et al. [ | 85% | 100% | Reduction of selected HAI and of MRSA transmission |