Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
1.
Int J Surg ; 106: 106890, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2007763

ABSTRACT

BACKGROUND: Surgical failure-to-rescue (FTR, death rate following complications) is a reliable cross-sectional quality of care marker, but has not been evaluated dynamically. We aimed to study changes in FTR following emergency surgery during the COVID-19 pandemic. MATERIAL AND METHODS: Matched cohort study including all COVID-19-non-infected adult patients undergoing emergency general surgery in 25 Spanish hospitals during COVID-19 pandemic peak (March-April 2020), non-peak (May-June 2020), and 2019 control periods. A propensity score-matched comparative analysis was conducted using a logistic regression model, in which period was regressed on observed baseline characteristics. Subsequently, a mixed effects logistic regression model was constructed for each variable of interest. Main variable was FTR. Secondary variables were post-operative complications, readmissions, reinterventions, and length of stay. RESULTS: 5003 patients were included (948, 1108, and 2947 in the pandemic peak, non-peak, and control periods), with comparable clinical characteristics, prognostic scores, complications, reintervention, rehospitalization rates, and length of stay across periods. FTR was greater during the pandemic peak than during non-peak and pre-pandemic periods (22.5% vs. 17.2% and 12.7%), being this difference confirmed in adjusted analysis (odds ratio [OR] 2.13, 95% confidence interval [95% CI] 1.27-3.66). There was sensible inter-hospital variability in FTR changes during the pandemic peak (median FTR change +8.77%, IQR 0-29.17%) not observed during the pandemic non-peak period (median FTR change 0%, IQR -6.01-6.72%). Greater FTR increase was associated with higher COVID-19 incidence (OR 2.31, 95% CI 1.31-4.16) and some hospital characteristics, including tertiary level (OR 3.07, 95% CI 1.27-8.00), medium-volume (OR 2.79, 95% CI 1.14-7.34), and high basal-adjusted complication risk (OR 2.21, 95% CI 1.07-4.72). CONCLUSION: FTR following emergency surgery experienced a heterogeneous increase during different periods of the COVID-19 pandemic, suggesting it to behave as an indicator of hospital resilience. FTR monitoring could facilitate identification of centres in special needs during ongoing health care challenges.


Subject(s)
COVID-19 , Humans , Adult , COVID-19/epidemiology , Pandemics , Retrospective Studies , Propensity Score , Cohort Studies , Cross-Sectional Studies , Hospital Mortality , Hospitals , Postoperative Complications/epidemiology , Postoperative Complications/etiology
5.
Int J Surg ; 96: 106171, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1509887

ABSTRACT

BACKGROUND: COVID-19 infection is associated with a higher mortality rate in surgical patients, but surgical risk scores have not been validated in the emergency setting. We aimed to study the capacity for postoperative mortality prediction of the P-POSSUM score in COVID-19-positive patients submitted to emergency general and digestive surgery. MATERIAL AND METHODS: Consecutive patients undergoing emergency general and digestive surgery from March to June 2020, and from March to June 2019 in 25 Spanish hospitals were included in a retrospective cohort study. MAIN OUTCOME: 30-day mortality. P-POSSUM discrimination was quantified by the area under the curve (AUC) of ROC curves; calibration was assessed by linear regression slope (ß estimator); and sensitivity and specificity were expressed as percentage and 95% confidence interval (CI). RESULTS: 4988 patients were included: 177 COVID-19-positive; 2011 intra-pandemic COVID-19-negative; and 2800 pre-pandemic. COVID-19-positive patients were older, with higher surgical risk, more advanced pathologies, and higher P-POSSUM values (1.79% vs. 1.09%, p < 0.001, in both the COVID-19-negative and control cohort). 30-day mortality in the COVID-19-positive, intra-pandemic COVID-19-negative and pre-pandemic cohorts were: 12.9%, 4.6%, and 3.2%. The P-POSSUM predictive values in the three cohorts were, respectively: AUC 0.88 (95% CI 0.81-0.95), 0.89 (95% CI 0.87-0.92), and 0.91 (95% CI 0.88-0.93); ß value 0.97 (95% CI 0.74-1.2), 0.99 (95% CI 0.82-1.16), and 0.78 (95% CI 0.74-0.82); sensitivity 83% (95% CI 61-95), 91% (95% CI 84-96), and 89% (95% CI 80-94); and specificity 81% (95% CI 74-87), 76% (95% CI 74-78), and 80% (95% CI 79-82). CONCLUSION: The P-POSSUM score showed a good predictive capacity for postoperative mortality in COVID-19-positive patients submitted to emergency general and digestive surgery.


Subject(s)
COVID-19 , Humans , Postoperative Complications , ROC Curve , Retrospective Studies , Risk Assessment , SARS-CoV-2 , Severity of Illness Index
6.
Medicine (Baltimore) ; 100(5): e24409, 2021 Feb 05.
Article in English | MEDLINE | ID: covidwho-1125185

ABSTRACT

ABSTRACT: Infection with the SARS-CoV-2 virus seems to contribute significantly to increased postoperative complications and mortality after emergency surgical procedures. Additionally, the fear of COVID-19 contagion delays the consultation of patients, resulting in the deterioration of their acute diseases by the time of consultation. In the specific case of urgent digestive surgery patients, both factors significantly worsen the postoperative course and prognosis. Main working hypothesis: infection by COVID-19 increases postoperative 30-day-mortality for any cause in patients submitted to emergency/urgent general or gastrointestinal surgery. Likewise, hospital collapse during the first wave of the COVID-19 pandemic increased 30-day-mortality for any cause. Hence, the main objective of this study is to estimate the cumulative incidence of mortality at 30-days-after-surgery. Secondary objectives are: to estimate the cumulative incidence of postoperative complications and to develop a specific postoperative risk propensity model for COVID-19-infected patients.A multicenter, observational retrospective cohort study (COVID-CIR-study) will be carried out in consecutive patients operated on for urgent digestive pathology. Two cohorts will be defined: the "pandemic" cohort, which will include all patients (classified as COVID-19-positive or -negative) operated on for emergency digestive pathology during the months of March to June 2020; and the "control" cohort, which will include all patients operated on for emergency digestive pathology during the months of March to June 2019. Information will be gathered on demographic characteristics, clinical and analytical parameters, scores on the usual prognostic scales for quality management in a General Surgery service (POSSUM, P-POSSUM and LUCENTUM scores), prognostic factors applicable to all patients, specific prognostic factors for patients infected with SARS-CoV-2, postoperative morbidity and mortality (at 30 and 90 postoperative days). The main objective is to estimate the cumulative incidence of mortality at 30 days after surgery. As secondary objectives, to estimate the cumulative incidence of postoperative complications and to develop a specific postoperative risk propensity model for SARS-CoV-2 infected patients.The protocol (version1.0, April 20th 2020) was approved by the local Institutional Review Board (Ethic-and-Clinical-Investigation-Committee, code PR169/20, date 05/05/20). The study findings will be submitted to peer-reviewed journals and presented at relevant national and international scientific meetings.ClinicalTrials.gov Identifier: NCT04479150 (July 21, 2020).


Subject(s)
COVID-19 , Digestive System Diseases , Digestive System Surgical Procedures , Emergency Treatment , Infection Control , Postoperative Complications , Time-to-Treatment , Adult , COVID-19/epidemiology , COVID-19/prevention & control , Digestive System Diseases/diagnosis , Digestive System Diseases/epidemiology , Digestive System Diseases/mortality , Digestive System Diseases/surgery , Digestive System Surgical Procedures/adverse effects , Digestive System Surgical Procedures/methods , Digestive System Surgical Procedures/mortality , Emergencies/epidemiology , Emergency Treatment/adverse effects , Emergency Treatment/methods , Emergency Treatment/mortality , Female , Humans , Incidence , Infection Control/methods , Infection Control/statistics & numerical data , Male , Mortality , Multicenter Studies as Topic , Observational Studies as Topic , Postoperative Complications/diagnosis , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Research Design , Risk Assessment/methods
SELECTION OF CITATIONS
SEARCH DETAIL