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Effect of Cold Atmospheric Plasma Therapy vs Standard Therapy Placebo on Wound Healing in Patients With Diabetic Foot Ulcers: A Randomized Clinical Trial
Importance: Diabetic foot ulcers are a common complication of diabetes and require specialized treatment. Cold atmospheric plasma (CAP) has been associated with benefits in wound infection and healing in previous smaller series of case reports. Yet the effect of CAP compared with standard care therapy in wound healing in diabetic foot ulcers remains to be studied.
Objective: To determine whether the application of CAP accelerates wound healing in diabetic foot ulcers compared with standard care therapy.
Design, Setting, and Participants: A prospective, randomized, placebo-controlled, patient-blinded clinical trial was conducted at 2 clinics with recruitment from August 17, 2016, to April 20, 2019. Patients were scheduled to remain in follow-up until April 30, 2024. Patients with diabetes and diabetic foot ulcers described using the combined Wagner-Armstrong classification of 1B or 2B (superficial or infected diabetic foot ulcers extending to tendon) were eligible. A patient could participate with 1 or more wounds in both groups in both intervention and control groups. Wounds were randomized separately, allowing a participant to be treated several times within the study following a 2 × 2 × 2 randomization strata considering sex, smoking status, and age (≤68 years and >68 years).
Interventions: Standard care treatment with 8 applications of either CAP generated from argon gas in an atmospheric pressure plasma jet or 8 applications of placebo treatment in a patient-blinded manner.
Main Outcomes and Measures: Primary end points were reduction in wound size, clinical infection, and microbial load compared with treatment start. Secondary end points were time to relevant wound reduction (>10%), reduction of infection, parameters of patient’s well-being, and treatment-associated adverse events.
Results: Of 65 diabetic foot ulcer wounds from 45 patients assessed for study, 33 wounds from 29 patients were randomized to CAP and 32 wounds from 28 to placebo, with 62 wounds from 43 patients (31 wounds per group) included for final evaluation (mean [SD] age, 68.5 [9.1] years for full sample). Four patients with 5 wounds of 31 (16.1%) wounds in the CAP group and 3 patients with 4 wounds of 31 (13%) wounds in the placebo group were active smokers. CAP therapy yielded a significant increase in wound healing, both in total mean (SD) area reduction (CAP vs placebo relative units, −26.31 [11.72]; P = .03) and mean (SD) time to relevant wound area reduction (CAP vs placebo relative units, 10% from baseline, 1.60 [0.58]; P = .009). Reduction of infection and microbial load was not significantly different between CAP and placebo. No therapy-related adverse events occurred during therapy; patient’s perceptions during therapy were comparable.
Conclusions and Relevance: In this randomized clinical trial, CAP therapy resulted in beneficial effects in chronic wound treatment in terms of wound surface reduction and time to wound closure independent from background infection
Einsatz von künstlicher Intelligenz im Screening auf diabetische Retinopathie an einer diabetologischen Schwerpunktklinik
Hintergrund
Seit 2018 ist mit IDx-DR ein Verfahren auf dem Markt, welches den Grad der diabetischen Retinopathie (DR) mittels künstlicher Intelligenz (KI) bestimmt.
Methoden
Wir haben IDx-DR in die Sprechstunde an einer diabetologischen Schwerpunktklinik integriert und berichten über die Übereinstimmung zwischen IDx-DR (IDx Technologies Inc., Coralville, IA, USA) und Funduskopie sowie IDx-DR und ophthalmologischer Bildbeurteilung sowie über den Einfluss unterschiedlicher Kamerasysteme.
Ergebnisse
Mit der Topcon-Kamera (n = 456; NW400, Topcon Medical Systems, Oakland, NJ, USA) konnte im Vergleich zur Zeiss-Kamera (n = 47; Zeiss VISUCAM 500, Carl Zeiss Meditec AG, Jena, Deutschland) häufiger eine ausreichende Bildqualität in Miosis erreicht werden. Insgesamt war bei etwa 60 % der Patienten eine IDx-DR-Analyse in Miosis möglich. Alle Patienten, bei denen keine IDx-DR-Analyse in Miosis möglich war, konnten in Mydriasis funduskopiert werden. Innerhalb der Gruppe der auswertbaren Befunde zeigte sich eine Übereinstimmung zwischen IDx-DR und augenärztlicher Funduoskopie in ca. 55 %, ein Überschätzen des Schweregrads durch IDx-DR in ca. 40 % und ein Unterschätzen in ca. 4 %. Die Sensitivität (Spezifität) für das Erkennen einer schweren, behandlungsbedürftigen Retinopathie lag bei 95,7 % (89,1 %) für Fälle mit auswertbaren Fundusaufnahmen und bei 65,2 % (66,7 %), wenn alle Fälle betrachtet werden (inklusive derjeniger ohne verwertbare Aufnahme in Miosis). Der Kappa-Koeffizient zeigt mit 0,334 (p < 0,001) eine ausreichende Übereinstimmung zwischen IDx-DR und ärztlicher Bildauswertung anhand des Fundusfotos unter Berücksichtigung aller Patienten mit auswertbarer IDx-DR-Analyse. Der Vergleich zwischen IDx-DR mit der ärztlichen Funduskopie ergibt unter denselben Voraussetzungen eine geringe Übereinstimmung mit einem Kappa-Wert von 0,168 (p < 0,001).
Schlussfolgerung
Die vorliegende Studie zeigt Möglichkeiten und Grenzen des KI-gestützten DR-Screenings auf. Eine wesentliche Einschränkung liegt in der Tatsache, dass bei ca. 40 % der Patienten keine ausreichenden Aufnahmen in Miosis gewonnen werden konnten. Wenn ausreichende Aufnahmen vorlagen, stimmten IDx-DR und augenärztliche Diagnose in über 50 % der Fälle überein. Ein Unterschätzen des Schweregrades durch IDx-DR kam selten vor. Für die Integration in augenärztlich unterstützten Sprechstunden erscheint uns das System grundsätzlich geeignet. Die hohe Rate an fehlenden Aufnahmen in Miosis stellt allerdings eine Limitation dar, die einen Einsatz ohne augenärztliche Kontrollmöglichkeit schwierig erscheinen lässt.Background
In 2018, IDx-DR was approved as a method to determine the degree of diabetic retinopathy (DR) using artificial intelligence (AI) by the FDA.
Methods
We integrated IDx-DR into the consultation at a diabetology focus clinic and report the agreement between IDx-DR and fundoscopy as well as IDx-DR and ophthalmological image assessment and the influence of different camera systems.
Results
Adequate image quality in miosis was achieved more frequently with the Topcon camera (n = 456; NW400, Topcon Medical Systems, Oakland, NJ, USA) compared with the Zeiss camera (n = 47; Zeiss VISUCAM 500, Carl Zeiss Meditec AG, Jena, Germany). Overall, IDx-DR analysis in miosis was possible in approximately 60% of the patients. All patients in whom IDx-DR analysis in miosis was not possible could be assessed by fundoscopy with dilated pupils. Within the group of images that could be evaluated, there was agreement between IDx-DR and ophthalmic fundoscopy in approximately 55%, overestimation of severity by IDx-DR in approximately 40% and underestimation in approximately 4%. The sensitivity (specificity) for detecting severe retinopathy requiring treatment was 95.7% (89.1%) for cases with fundus images that could be evaluated and 65.2% (66.7%) when all cases were considered (including those without images in miosis which could be evaluated).
The kappa coefficient of 0.334 (p < 0.001) shows sufficient agreement between IDx-DR and physician’s image analysis based on the fundus photograph, considering all patients with IDx-DR analysis that could be evaluated. The comparison between IDx-DR and the physician’s funduscopy under the same conditions shows a low agreement with a kappa value of 0.168 (p < 0.001).
Conclusion
The present study shows the possibilities and limitations of AI-assisted DR screening. A major limitation is that sufficient images cannot be obtained in miosis in approximately 40% of patients. When sufficient images were available the IDx-DR and ophthalmological diagnosis matched in more than 50% of cases. Underestimation of severity by IDx-DR occurred only rarely. For integration into an ophthalmologist’s practice, this system seems suitable. Without access to an ophthalmologist the high rate of insufficient images in miosis represents an important limitation