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1.
Sensors (Basel) ; 24(2)2024 Jan 12.
Artigo em Inglês | MEDLINE | ID: mdl-38257579

RESUMO

Surgery is a common first-line treatment for many types of disease, including cancer. Mortality rates after general elective surgery have seen significant decreases whilst postoperative complications remain a frequent occurrence. Preoperative assessment tools are used to support patient risk stratification but do not always provide a precise and accessible assessment. Wearable sensors (WS) provide an accessible alternative that offers continuous monitoring in a non-clinical setting. They have shown consistent uptake across the perioperative period but there has been no review of WS as a preoperative assessment tool. This paper reviews the developments in WS research that have application to the preoperative period. Accelerometers were consistently employed as sensors in research and were frequently combined with photoplethysmography or electrocardiography sensors. Pre-processing methods were discussed and missing data was a common theme; this was dealt with in several ways, commonly by employing an extraction threshold or using imputation techniques. Research rarely processed raw data; commercial devices that employ internal proprietary algorithms with pre-calculated heart rate and step count were most commonly employed limiting further feature extraction. A range of machine learning models were used to predict outcomes including support vector machines, random forests and regression models. No individual model clearly outperformed others. Deep learning proved successful for predicting exercise testing outcomes but only within large sample-size studies. This review outlines the challenges of WS and provides recommendations for future research to develop WS as a viable preoperative assessment tool.


Assuntos
Algoritmos , Dispositivos Eletrônicos Vestíveis , Humanos , Transporte Biológico , Eletrocardiografia , Teste de Esforço
2.
Int J Colorectal Dis ; 38(1): 155, 2023 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-37261539

RESUMO

PURPOSE: Risk prediction models are frequently used to support decision-making in colorectal surgery but can be inaccurate. Machine learning (ML) is becoming increasingly popular, and its application may increase predictive accuracy. We compared conventional risk prediction models for postoperative mortality (based on regression analysis) with ML models to determine the benefit of the latter approach. METHODS: The study was registered in PROSPERO(CRD42022364753). Following the PRISMA guidelines, a systematic search of three databases (MEDLINE, EMBASE, WoS) was conducted (from 1/1/2000 to 29/09/2022). Studies were included if they reported the development of a risk model to estimate short-term postoperative mortality for patients undergoing colorectal surgery. Discrimination and calibration performance metrics were compared. Studies were evaluated against CHARMS and TRIPOD criteria. RESULTS: 3,052 articles were screened, and 45 studies were included. The total sample size was 1,356,058 patients. Six studies used ML techniques for model development. Most studies (n = 42) reported the area under the receiver operating characteristic curve (AUROC) as a measure of discrimination. There was no significant difference in the mean AUROC values between regression models (0.833 s.d. ± 0.52) and ML (0.846 s.d. ± 0.55), p = 0.539. Calibration statistics, which measure the agreement between predicted estimates and observed outcomes, were less consistent. Risk of bias assessment found most concerns in the data handling and analysis domains of eligible studies. CONCLUSIONS: Our study showed comparable predictive performance between regression and ML methods in colorectal surgery. Integration of ML in colorectal risk prediction is promising but further refinement of the models is required to support routine clinical adoption.


Assuntos
Cirurgia Colorretal , Procedimentos Cirúrgicos do Sistema Digestório , Humanos , Cirurgia Colorretal/efeitos adversos , Área Sob a Curva , Calibragem , Bases de Dados Factuais
3.
Langenbecks Arch Surg ; 407(2): 479-489, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-34698926

RESUMO

OBJECTIVES: To evaluate comparative outcomes of robotic and laparoscopic left lateral hepatic sectionectomy (LLS). METHODS: A systematic search of PubMed, Web of Science, EMBASE and bibliographic reference lists with application of a combination of free text and controlled vocabulary search adapted to thesaurus headings, search operators and limits was conducted. Overall, minor (Clavien-Dindo grade < III) and major (Clavien-Dindo grade > III) postoperative complications, mortality, volume of blood loss, conversion to an open procedure, procedure time, length of hospital stay, cost-effectiveness and R1 resection were the evaluated outcome measures. RESULTS: Seven comparative observational studies reporting a total of 319 patients of whom 150 underwent robotic LLS and the remaining 169 patients underwent laparoscopic LLS were included. The robotic approach was associated with significantly longer procedure time (MD: 29.40 min, p = 0.01) and higher cost (MD: $4170, p < 0.00001) compared to the laparoscopic approach. There was no significant difference in overall postoperative morbidity (OR: 1.29, p = 0.62), Clavien-Dindo grade < III (OR: 1.65, p = 0.49), Clavien-Dindo grade > III (OR: 1.18, p = 0.85), perioperative mortality (RD: 0.00, p = 1.00), volume of blood loss (MD: 1.96 mls, p = 0.91), conversion to an open procedure (RD: - 0.02, p = 0.46), length of hospital stay (MD: 0.22 day, p = 0.52) or R1 resection (RD:0.00, p = 1.00) between two groups. CONCLUSIONS: Meta-analysis of the best available evidence (level 2) demonstrated that robotic LLS is associated with significantly longer procedure time and higher cost and similar perioperative outcomes compared to the laparoscopic approach. Future randomised studies are required to evaluate short-term perioperative, long-term oncological and surgeon-centred outcomes.


Assuntos
Laparoscopia , Procedimentos Cirúrgicos Robóticos , Robótica , Humanos , Laparoscopia/métodos , Tempo de Internação , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologia , Procedimentos Cirúrgicos Robóticos/métodos , Resultado do Tratamento
4.
Ann Coloproctol ; 37(5): 269-274, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34731938

RESUMO

Actinomycosis is a serious suppurative, bacterial infection caused by the gram-positive anaerobic Actinomyces species. Primary perianal actinomycosis is rare and challenging for the colorectal surgeon. We aimed to present our experience and compare this with available literature. All patients with isolated Actinomyces on microbiology reports, between January 2013 and February 2021, were identified and reviewed. Data collection was retrospective based on electronic patient records. The site of infection and treatment strategy were examined. Perianal cases were evaluated in depth. All publications available in the literature were interrogated. Fifty-nine cases of positive actinomycosis cultures were reviewed. Six cases of colonization were excluded. Actinomyces turicensis was the most common organism isolated. Five cases of perianal actinomycosis were identified requiring prolonged antibiotic and surgical therapy. Twenty-one studies, most case reports, published since 1951 were also reviewed. Diagnosis of perianal actinomycosis may be challenging but should be suspected particularly in recurrent cases. Prolonged bacterial cultures in anaerobic conditions are necessary to identify the bacterium. An extended course of antibiotic therapy (months) is required for eradication in certain cases.

6.
Eur Urol Focus ; 5(6): 1127-1134, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-29657068

RESUMO

CONTEXT: Day case or ambulatory percutaneous nephrolithotomy (PCNL) has risen over the last few years with the aim of discharging patients within 24h. OBJECTIVE: We perform a systematic review of literature to evaluate the outcomes of day-case PCNL surgery. EVIDENCE ACQUISITION: A Cochrane style search was performed and the following bibliographic databases were accessed: PubMed, Science Direct, Scopus, and Web of Science. This was carried out in accordance with the Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines. All studies in the English language reporting on PCNL patients discharged within 24h were included. EVIDENCE SYNTHESIS: Based on the literature search of 97 articles, nine (502 patients) met the inclusion criteria (mean age: 47 yr), with a mean stone size of 20.5mm. The mean operating time was 66min, and over a mean hospital stay of 17.5h, the stone-free rate was 95%. The overall complication rate was 13.5%; the vast majority of these complications were Clavien I-II complications, with a readmission rate of 3%. CONCLUSIONS: Day-case PCNL is a safe and feasible strategy in carefully selected cases. However, for its success, detailed planning and adherence to surgical protocol are paramount with strict criteria for inpatient admission and a thorough follow-up plan. PATIENT SUMMARY: Day-case percutaneous nephrolithotomy procedure seems to be a safe procedure with good outcomes, and low risk of complications and readmissions. Detailed preoperative protocol and planning are paramount, with indications for inpatient admission as well as a thorough follow-up plan.


Assuntos
Procedimentos Cirúrgicos Ambulatórios/efeitos adversos , Cálculos Renais/cirurgia , Tempo de Internação/estatística & dados numéricos , Nefrolitotomia Percutânea/efeitos adversos , Adulto , Idoso , Idoso de 80 Anos ou mais , Procedimentos Cirúrgicos Ambulatórios/métodos , Estudos de Casos e Controles , Estudos de Viabilidade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Nefrolitotomia Percutânea/métodos , Duração da Cirurgia , Alta do Paciente/tendências , Readmissão do Paciente/estatística & dados numéricos , Complicações Pós-Operatórias/epidemiologia , Segurança , Resultado do Tratamento
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