The diagnostic test accuracy of telemedicine for detection of surgical site infection: A systematic review protocol.

Since the COVID-19 pandemic there has been a rapid uptake and utilisation of telemedicine in all aspects of healthcare. This presents a key opportunity in surgical site infection surveillance. Remote follow up methods have been used via telephone, with photographs and questionnaires for post-operative reviews with varying results. This review therefore aims to comprehensively synthesise available evidence for the diagnostic accuracy of all forms of SSI telemedicine monitoring. The protocol has been established as per both PRISMA-P (S1 Table) and the Cochrane handbook for reviews of diagnostic test accuracy. Medline, Embase, CENTRAL and CINAHL will be searched using a complete search strategy developed with librarian input, in addition to google scholar and hand searching. All study designs with patients over 18 and undergone a primarily closed surgical procedure will be eligible. Index tests will include all forms of telemedicine and a subgroup analysis performed for each of these. Comparative tests must include face to face review, and all reference standards will be included again for sub-group analyses. Search results will be screened by two investigators independently with a third providing consensus review on disagreements. Methodological quality will be assessed using the QUADAS-2 tool, first validated by two investigators as per the Cochrane handbook. Exploratory analysis will formulate summary receiver operating characteristic curves and forest plots with estimates of sensitivity and specificity of the included studies. Sources of heterogeneity will be identifying and investigated through further analysis. Potential benefits of telemedicine integration in surgical practice will reduce cost and travel time to patients in addition to avoiding wasted clinic appointments, important considerations in a peri-pandemic era. To avoid missed or further complications, there must be confidence in the ability to diagnose infection. This review will systematically determine whether telemedicine is accurate for surgical site infection diagnosis, which methods are well established and if further research is indicated.

Construct and Validate a Predictive Model for Surgical Site Infection after Posterior Lumbar Interbody Fusion Based on Machine Learning Algorithm.

Purpose: Surgical site infection is one of the serious complications after lumbar fusion. Early prediction and timely intervention can reduce the harm to patients. The aims of this study were to construct and validate a machine learning model for predicting surgical site infection after posterior lumbar interbody fusion, to screen out the most important risk factors for surgical site infection, and to explore whether synthetic minority oversampling technique could improve the model performance. Method: This study reviewed 584 patients who underwent posterior lumbar interbody fusion for degenerative lumbar disease at our center from January 2019 to August 2021. Clinical information and laboratory test data were collected from the electronic medical records. The original dataset was divided into training set and validation set in a 1 : 1 ratio. Seven machine learning algorithms were used to develop predictive models; the training set of each model was resampled using synthetic minority oversampling technique. Finally, the model performance was assessed in the validation set. Results: Of the 584 patients, 33 (5.65%) occurred surgical site infection. Stepwise logistic regression showed that preoperative albumin level (OR 0.659, 95% CI 0.563-0.756), diabetes (OR 9.129, 95% CI 3.816-23.126), intraoperative dural tear (OR 8.436, 95% CI 2.729-25.334), and rheumatic disease (OR 8.471, 95% CI 1.743-39.567) were significant predictors associated with surgical site infection. The performance of the AdaBoost Classification Trees model was the best among the seven machine learning models, and synthetic minority oversampling technique improved the performance of all models. Conclusion: The prediction model we constructed based on machine learning and synthetic minority oversampling technique can accurately predict surgical site infection, which is conducive to clinical decision-making and optimization of perioperative management.

mHealth-community health worker telemedicine intervention for surgical site infection diagnosis: a prospective study among women delivering via caesarean section in rural Rwanda.

BACKGROUND: Surgical site infections (SSIs) cause a significant global public health burden in low and middle-income countries. Most SSIs develop after patient discharge and may go undetected. We assessed the feasibility and diagnostic accuracy of an mHealth-community health worker (CHW) home-based telemedicine intervention to diagnose SSIs in women who delivered via caesarean section in rural Rwanda. METHODS: This prospective cohort study included women who underwent a caesarean section at Kirehe District Hospital between September 2019 and March 2020. At postoperative day 10 (±3 days), a trained CHW visited the woman at home, provided wound care and transmitted a photo of the wound to a remote general practitioner (GP) via WhatsApp. The GP reviewed the photo and made an SSI diagnosis. The next day, the woman returned to the hospital for physical examination by an independent GP, whose SSI diagnosis was considered the gold standard for our analysis. We describe the intervention process indicators and report the sensitivity and specificity of the telemedicine-based diagnosis. RESULTS: Of 787 women included in the study, 91.4% (n=719) were located at their home by the CHW and all of them (n=719, 100%) accepted the intervention. The full intervention was completed, including receipt of GP telemedicine diagnosis within 1 hour, for 79.0% (n=623). The GPs diagnosed 30 SSIs (4.2%) through telemedicine and 38 SSIs (5.4%) through physical examination. The telemedicine sensitivity was 36.8% and specificity was 97.6%. The negative predictive value was 96.4%. CONCLUSIONS: Implementation of an mHealth-CHW home-based intervention in rural Rwanda and similar settings is feasible. Patients' acceptance of the intervention was key to its success. The telemedicine-based SSI diagnosis had a high negative predictive value but a low sensitivity. Further studies must explore strategies to improve accuracy, such as accompanying wound images with clinical data or developing algorithms using machine learning.

Severe Intraocular Inflammation following Hydrophilic Acrylic Phakic Intraocular Lens Implantation in A Case with Concealed History of COVID-19: A Case Report and Literature Review.

Purpose: To firstly present management of toxic anterior segment syndrome (TASS) and possible postoperative endophthalmitis (POE) after implantation of a new hydrophilic-acrylic posterior chamber (PC) phakic intraocular lens (pIOL) in a case with undeclared history of COVID-19.Methods: A 21-year-old male without known disease represented severe anterior chamber inflammation (hypopyon), poor vision and corneal edema without vitreous involvement (TASS) at 24-hours after PC-pIOL implantation for unilateral high myopia (amblyopic).Results: Preoperative best-corrected visual acuity (BCVA) was 0.2 OS (-13 diopters). At 56-hours, vitreous was involved with visual loss indicating POE. The patient confessed that he had COVID-19 1-month ago. COVID-19 immunoglobulin M/G tests were positive, while other markers were negative. Intracameral/intravitreal antibiotics were applied. BCVA was 0.15 without hypopyon at 24-hours. Cultures were negative. Final BCVA was 0.6 with normal examination.Conclusion: TASS/POE etiology could not be demonstrated in this case, whereas COVID-19-related proinflammatory systemic background could have effect on triggering/aggravating this scenario.].

[Treatment of postoperative anterior mediastinitis, sternal osteomyelitis in a patient with a novel coronavirus infection]. / Lechenie posleoperatsionnogo perednego mediastinita, osteomielita grudiny u patsientki s novoi koronavirusnoi infektsiei (COVID-19).

The incidence of mediastinitis after median sternotomy makes up 1-3%. This complication results prolonged hospital-stay, significant increase in treatment cost and high mortality (up to 75%). Severe COVID-19 pneumonia is often manifested by coughing, that impairs sternum stability after osteosynthesis. Moreover, concomitant leukopenia increases the risk of mediastinitis. Viral pneumonia and mediastinitis are complicated by respiratory failure and mutually potentiate the negative effect. Negative pressure wound therapy (NPWT) with combined antibiotic therapy ensures a favorable outcome even in patients with postoperative mediastinitis and osteomyelitis combined with viral pneumonia.

Sternal wound infections during the COVID-19 pandemic: an unexpected benefit.

BACKGROUND: The novel coronavirus, now termed SARS-CoV-2, has had a significant impact on cardiac surgical services globally. Although drastically reduced, our institution has maintained a significant level of cardiac surgical activity during the pandemic. Rigorous COVID-19 guidelines have been instituted to mitigate the risk of viral transmission. We observed a reduction in sternal wound infections since the institution of new perioperative surgical guidelines. METHODS: We performed a retrospective analysis of all patients who underwent cardiac surgery at our institution since a national lockdown was declared in March 2020. A retrospective analysis of all patients who underwent cardiac surgery in the 12 months preceding the national lockdown, as a baseline cohort group, was also performed. RESULTS: A total of 2600 patients (493 during the COVID-19 pandemic) were included in this study. Urgent/emergency procedures accounted for more than 60% of procedures performed during the lockdown compared to 39% previously. During the COVID-19 pandemic, there were 4 sternal wound infections with an overall incidence of 0.8%. In comparison, the incidence of sternal wound infections was significantly higher at 3.0% in the 12-month period prior to lockdown with 63 sternal wound infections (p = 0.006). CONCLUSION: This report suggests a significant role of iatrogenic causes in sternal wound infections prior to the pandemic. The strict implementation of guidelines in the perioperative period suggests that sternal wound infections can be prevented. We propose that the now widespread COVID-19 guidelines to reduce transmission risk be adapted to help reduce the incidence of sternal wound infections.