4 research outputs found

    Sex-specific differences in infective endocarditis: A systematic review and meta-analysis of clinical profiles and management outcomes

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    Background: Infective endocarditis (IE) presents significant morbidity and mortality, with potential sex differences in clinical profile and outcomes. This is the first meta-analysis that aims to compare the clinical profile and outcomes of IE between males and females. Methods: We conducted a meta-analysis of nine studies evaluating the clinical profile and outcomes of IE in males versus females extracted from PubMed, EMBASE, SCOPUS, and Cochrane databases up to 1st of Jan 2024. Results: Our meta-analysis revealed notable sex differences in the incidence and complications of IE. Males exhibited a higher incidence of aortic valve IE (RR 1.57, 95 % CI [1.31, 1.88]), surgical indications for IE (RR 1.38, [1.12, 1.70]), Streptococci infection (RR 1.36, [1.04, 1.77]), intracardiac abscess (RR 1.22, [1.05, 1.42]), and Enterococci IE (RR 1.44, [1.28, 1.61]). In contrast, females had a higher incidence of mitral valve IE (RR 0.79, [0.67, 0.94]) and a higher in-hospital mortality rate (RR 0.84, [0.74, 0.96]). No significant sex differences were found in the incidence of valve vegetations, tricuspid valve IE, embolization, and Staphylococcus IE. In-hospital stay was longer in male patients, however, with borderline significance (RR 3.15, [-0.16, 6.45], p = 0.06). In patients who underwent surgery for IE, mortality rates were significantly lower in male patients (RR: 0.67 [0.59, 0.76], p < 0.01). Conclusions: Compared to females, males exhibit higher rates of aortic valve IE, intracardiac abscess, streptococci IE, enterococci IE and IE-related surgery indication. In contrast, females have higher rates of mitral valve IE and in-hospital mortality

    Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

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    To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.</jats:p

    Outcomes after perioperative SARS-CoV-2 infection in patients with proximal femoral fractures: an international cohort study

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    Objectives Studies have demonstrated high rates of mortality in people with proximal femoral fracture and SARS-CoV-2, but there is limited published data on the factors that influence mortality for clinicians to make informed treatment decisions. This study aims to report the 30-day mortality associated with perioperative infection of patients undergoing surgery for proximal femoral fractures and to examine the factors that influence mortality in a multivariate analysis. Setting Prospective, international, multicentre, observational cohort study. Participants Patients undergoing any operation for a proximal femoral fracture from 1 February to 30 April 2020 and with perioperative SARS-CoV-2 infection (either 7 days prior or 30-day postoperative). Primary outcome 30-day mortality. Multivariate modelling was performed to identify factors associated with 30-day mortality. Results This study reports included 1063 patients from 174 hospitals in 19 countries. Overall 30-day mortality was 29.4% (313/1063). In an adjusted model, 30-day mortality was associated with male gender (OR 2.29, 95% CI 1.68 to 3.13, p80 years (OR 1.60, 95% CI 1.1 to 2.31, p=0.013), preoperative diagnosis of dementia (OR 1.57, 95% CI 1.15 to 2.16, p=0.005), kidney disease (OR 1.73, 95% CI 1.18 to 2.55, p=0.005) and congestive heart failure (OR 1.62, 95% CI 1.06 to 2.48, p=0.025). Mortality at 30 days was lower in patients with a preoperative diagnosis of SARS-CoV-2 (OR 0.6, 95% CI 0.6 (0.42 to 0.85), p=0.004). There was no difference in mortality in patients with an increase to delay in surgery (p=0.220) or type of anaesthetic given (p=0.787). Conclusions Patients undergoing surgery for a proximal femoral fracture with a perioperative infection of SARS-CoV-2 have a high rate of mortality. This study would support the need for providing these patients with individualised medical and anaesthetic care, including medical optimisation before theatre. Careful preoperative counselling is needed for those with a proximal femoral fracture and SARS-CoV-2, especially those in the highest risk groups

    Outcomes after perioperative SARS-CoV-2 infection in patients with proximal femoral fractures: an international cohort study

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    Objectives Studies have demonstrated high rates of mortality in people with proximal femoral fracture and SARS-CoV-2, but there is limited published data on the factors that influence mortality for clinicians to make informed treatment decisions. This study aims to report the 30-day mortality associated with perioperative infection of patients undergoing surgery for proximal femoral fractures and to examine the factors that influence mortality in a multivariate analysis. Setting Prospective, international, multicentre, observational cohort study. Participants Patients undergoing any operation for a proximal femoral fracture from 1 February to 30 April 2020 and with perioperative SARS-CoV-2 infection (either 7 days prior or 30-day postoperative). Primary outcome 30-day mortality. Multivariate modelling was performed to identify factors associated with 30-day mortality. Results This study reports included 1063 patients from 174 hospitals in 19 countries. Overall 30-day mortality was 29.4% (313/1063). In an adjusted model, 30-day mortality was associated with male gender (OR 2.29, 95% CI 1.68 to 3.13, p80 years (OR 1.60, 95% CI 1.1 to 2.31, p=0.013), preoperative diagnosis of dementia (OR 1.57, 95% CI 1.15 to 2.16, p=0.005), kidney disease (OR 1.73, 95% CI 1.18 to 2.55, p=0.005) and congestive heart failure (OR 1.62, 95% CI 1.06 to 2.48, p=0.025). Mortality at 30 days was lower in patients with a preoperative diagnosis of SARS-CoV-2 (OR 0.6, 95% CI 0.6 (0.42 to 0.85), p=0.004). There was no difference in mortality in patients with an increase to delay in surgery (p=0.220) or type of anaesthetic given (p=0.787). Conclusions Patients undergoing surgery for a proximal femoral fracture with a perioperative infection of SARS-CoV-2 have a high rate of mortality. This study would support the need for providing these patients with individualised medical and anaesthetic care, including medical optimisation before theatre. Careful preoperative counselling is needed for those with a proximal femoral fracture and SARS-CoV-2, especially those in the highest risk groups. Trial registration number NCT0432364
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