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1.
Int Wound J ; 19(6): 1289-1297, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1532811

ABSTRACT

This study aimed to explore the clinical characteristic and outcomes of inpatients with diabetic foot ulceration (DFU) in 2019 (prelockdown) and 2020 (postlockdown) due to the COVID-19 pandemic, at an emergency medical service unit. Prediction models for mortality and amputation were developed to describe the risk factors using a machine learning-based approach. Hospitalized DFU patients (N = 23) were recruited after the lockdown in 2020 and matched with corresponding inpatients (N = 23) before lockdown in 2019. Six widely used machine learning models were built and internally validated using 3-fold cross-validation to predict the risk of amputation and death in DFU inpatients under the COVID-19 pandemic. Previous DF ulcers, prehospital delay, and mortality were significantly higher in 2020 compared to 2019. Diabetic foot patients in 2020 had higher hs-CRP levels (P = .037) but lower hemoglobin levels (P = .017). The extreme gradient boosting (XGBoost) performed best in all models for predicting amputation and mortality with the highest area under the curve (0.86 and 0.94), accuracy (0.80 and 0.90), sensitivity (0.67 and 1.00), and negative predictive value (0.86 and 1.00). A long delay in admission and a higher risk of mortality was observed in patients with DFU who attended the emergency center during the COVID-19 post lockdown. The XGBoost model can provide evidence-based risk information for patients with DFU regarding their amputation and mortality. The prediction models would benefit DFU patients during the COVID-19 pandemic.


Subject(s)
COVID-19 , Diabetes Mellitus , Diabetic Foot , Foot Ulcer , Amputation, Surgical , C-Reactive Protein , Communicable Disease Control , Diabetic Foot/epidemiology , Hemoglobins , Humans , Inpatients , Machine Learning , Pandemics , Ulcer
2.
J Wound Care ; 30(Sup4): S42-S52, 2021 Apr 01.
Article in English | MEDLINE | ID: covidwho-1187162

ABSTRACT

OBJECTIVE: Management of chronic wounds remains one of the major challenges for health professionals and patients. An evidence-based decision is important to ensure that patients are receiving the best treatment proven to reduce healing time and improve outcomes, including economic benefits and patients' health-related quality of life (HRQoL). Due to recent restrictions because of the COVID-19 pandemic, including closure of wound care centres within hospitals and a drop in patient volume, chronic wound management needs simple-to-use dressings which are still effective and evidence-based solutions. This systematic review was conducted to identify the clinical evidence available on a sucrose octasulfate dressing (TLC-NOSF, UrgoStart dressing range, Laboratoires Urgo, France) to explore its efficacy in the management of chronic wounds, particularly lower limb ulcers, diabetic foot ulcers and pressure ulcers. METHOD: A literature search of PubMed, Cochrane Library and Google Scholar was conducted based on the PICO model (patient/population, intervention, comparison and outcomes) to retrieve publications of different levels of evidence in order to evaluate outcomes of the use of TLC-NOSF dressings. RESULTS: A total of 21 publications of different levels, ranging from double-blind randomised control trials to case reports, involving over 12,000 patients, were identified through PubMed, with a further eight publications through Google Scholar and two publications through Cochrane Library. A total of seven results were omitted due to the lack of relevance or repetition. CONCLUSION: All the evidence provided suggest that these dressings provide clinicians with an evidence-based option for the management of chronic wounds; that the TLC-NOSF dressings are beneficial in promoting the healing process, reducing healing times, enhancing patients' HRQoL, and in allowing a more cost-effective procedure.


Subject(s)
Bandages, Hydrocolloid , Chronic Disease/therapy , Diabetic Foot/therapy , Pressure Ulcer/therapy , Sucrose/analogs & derivatives , Sucrose/therapeutic use , Wound Healing/physiology , Adult , Aged , Aged, 80 and over , Double-Blind Method , Female , France , Humans , Male , Middle Aged
3.
J Infect Public Health ; 13(7): 932-934, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-548408

ABSTRACT

Since the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, Hubei Province, China [1], a large number of confirmed cases met the discharge criteria (one of which is two consecutive negative nucleic acid tests with an interval of at least 24 h) [2]. Previous studies have paid more attention to the epidemic situation of COVID-19 and patient diagnosis and treatment. Close attention also should be paid to the discharged patients. Surprisingly, a previous follow-up reported that some patients' nucleic acid retest results were positive again after discharge [3]. Factors impacting these follow-up test results should be further investigated. Since the first confirmed case was diagnosed in our hospital (Chongqing Emergency Medical Center, the designated transfer hospital) on February 4th, we confirmed a total of 17 cases. All patients infected with the novel coronavirus were transferred to a designated hospital in Southwest China's Chongqing by ambulance with an inbuilt negative-pressure chamber [4]. In the follow-up examination of these patients, RT-PCR tests were conducted again 3 days after discharged from the designated hospital. Four patients showed recurrence of positive results after a few days of discharge. Thus, we examined these cases herein, aiming to provide information for policy formulation and modification of discharge plans.


Subject(s)
Betacoronavirus/isolation & purification , Coronavirus Infections/diagnosis , Coronavirus Infections/epidemiology , Pneumonia, Viral/diagnosis , Pneumonia, Viral/epidemiology , RNA, Viral/isolation & purification , Reverse Transcriptase Polymerase Chain Reaction , Adult , COVID-19 , Child , China/epidemiology , Coronavirus Infections/virology , Female , Hospitals , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/virology , SARS-CoV-2
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