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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
2.
Cir Esp (Engl Ed) ; 100(9): 562-568, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1885689

ABSTRACT

AIM: The objective of this study is to analyze the impact of the congresses of the American College of Surgeons (ACSCC2020) and the National Surgery Congress of the Spanish Association of Surgeons (CNC2020) in virtual format due to the SARS-CoV2 pandemic according to the fingerprint. MATERIAL AND METHODS: The Twitter hashtags # ACSCC20 and # CNCirugia2020 were studied to determine tweets, retweets, users and impressions. The data on the accounts with the greatest influence and the historical evolution of the congresses between 2015 and 2020 were analyzed. We used the symplur software to collect and analyze the data. RESULTS: Between 2015 and 2017 there was a consistent increase in the number of tweets, participants and impressions. Between 2018 and 2020, the ACS maintains the number of impressions with the fewest number of tweets. However, the CNC continues to grow and achieves its best metrics in 2020. We found statistically significant differences between the most prolific accounts of the ACSCC versus the CNC (P < .002) but there are no differences between the 10 most influential accounts (P = ,19) or the accounts with the highest number of impressions (P = .450) CONCLUSIONS: Virtual congresses generate a global impact through the use of Twitter for the dissemination of knowledge. In the present 2020, the growth of the impact on social networks has been proportionally greater in the CNC than in the ACSCC. However, the ACS virtual congress generated the greatest impact on social networks measured by the number of users, tweets and impressions between 2015 and 2020.


Subject(s)
COVID-19 , Social Media , Surgeons , COVID-19/epidemiology , Humans , RNA, Viral , SARS-CoV-2 , Social Networking , United States
3.
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
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