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1.
J Surg Res ; 287: 117-123, 2023 07.
Article in English | MEDLINE | ID: covidwho-2293324

ABSTRACT

INTRODUCTION: In the spring of 2020, New York City was one of the first epicenters of the COVID outbreak. In this study, we evaluate the incidence and treatment of appendicitis in two New York City community hospitals during the COVID pandemic. METHODS: This retrospective study focused on the incidence and outcome of acute appendicitis in the adult population (>18 y old) during peak-COVID periods (March 16, 2020,-June 15, 2020) compared to pre-COVID and post-COVID periods. We compared the number of patients who underwent operative versus nonoperative management, patient demographics, length of stay (LOS), complications, and readmission rates within these time periods. Data are presented as mean ± standard deviation (analysis of variance). RESULTS: From January 1, 2020 to December 31, 2020, 393 patients presented with acute appendicitis and 321 (81.7%) were treated operatively, compared to 441 total and 366 treated operatively (83%) in 2019 (P = 0.88). During the COVID outbreak, fewer patients presented with appendicitis (mean 6.9 ± 1 pre-COVID case/week, 4.4 ± 2.4 peak-COVID cases/week and 7.6 ± 0.65 post-COVID cases/week, P = 0.018) with no significant difference in the pre-COVID and post-COVID period. There was no difference in LOS between the pre-, peak-, and post-COVID periods with a median of 1 for all the three, (interquartile range (IQR): 0.8-2, 0.6-2, 0.6-2, respectively, P = 0.43). Additionally, there was no difference in 30-day readmission rates (4.2%, 0%, 3.9%, P = 0.99) and postoperative complications (4.2%, 0%, 2.9%, P = 0.98). CONCLUSIONS: During peak-COVID, there was a significant reduction in the number of patients who presented with acute appendicitis without a post rebound increase in presentation. Those who presented during peak-COVID were able to undergo operative management safely, without affecting LOS or postoperative complications.


Subject(s)
Appendicitis , COVID-19 , Adult , Humans , COVID-19/epidemiology , COVID-19/complications , Pandemics , Retrospective Studies , Appendicitis/epidemiology , Appendicitis/surgery , Appendicitis/complications , Appendectomy/adverse effects , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Length of Stay , Acute Disease
2.
The Journal of surgical research ; 2023.
Article in English | EuropePMC | ID: covidwho-2228848

ABSTRACT

Background In the spring of 2020, New York City was one of the first epicenters of the COVID outbreak. In this study, we evaluate the incidence and treatment of appendicitis in two New York City community hospitals during the COVID pandemic. Methods This retrospective study focused on the incidence and outcome of acute appendicitis in the adult population (>18yo) during peak-COVID (3/16/20-6/15/20) compared to pre and post. We compared the number of patients who underwent operative vs non-operative management, patient demographics, length of stay (LOS), complications, and readmission rates within these time periods. Data is presented as mean ± SD (ANOVA). Results From 1/1/2020 to 12/31/2020, 393 patients presented with acute appendicitis and 321 (81.7%) were treated operatively, compared to 441 total and 366 treated operatively (83%) in 2019 (p=0.88). During the COVID outbreak, fewer patients presented with appendicitis (mean 6.9±1 pre-, 4.4±2.4 peak- and 7.6±0.65 post-COVID cases/week, p=0.018) with no significant difference pre and post. There was no difference in LOS between the pre, peak, and post periods with median of 1 for all three, (IQR 0.8-2, 0.6-2, 0.6-2 respectively p = 0.43). Additionally, there was no difference in 30-day readmission rates (4.2%, 0%, 3.9%, p=0.99) and post-operative complications (4.2%, 0%, 2.9%, p=0.98). Conclusion During peak-COVID, there was significant reduction in the number of patients who presented with acute appendicitis without a post-rebound increase in presentation. Those who presented during peak-COVID were able to undergo operative management safely, without affecting length of stay or post-operative complications.

3.
J Surg Res ; 268: 181-189, 2021 12.
Article in English | MEDLINE | ID: covidwho-1272587

ABSTRACT

BACKGROUND: During the 2020 SARS-CoV-2 outbreak in New York City, hospitals canceled elective surgeries to increase capacity for critically ill patients. We present case volume data from our community hospital to demonstrate how this shutdown affected surgical care. METHODS: Between March 16 and June 14, 2020, all elective surgeries were canceled at our institution. All procedures performed during this operating room shutdown (ORS) were logged, as well as those 4 weeks before (PRE) and 4 weeks after (POST) for comparison. RESULTS: A total of 2,475 cases were included in our analysis, with 754 occurring during shutdown. Overall case numbers dropped significantly during ORS and increased during recovery (mean 245.0 ± 28.4 PRE versus 58.0 ± 30.9 ORS versus 186.0±19.4 POST cases/wk, P< 0.001). Emergency cases predominated during ORS (26.4% PRE versus 59.3% ORS versus 31.5% POST, P< 0.001) despite decreasing in frequency (mean 64.5 ± 7.9 PRE versus 34.4 ± 12.1 ORS versus 58.5 ± 4.0 POST cases/wk, P< 0.001). Open surgeries remained constant in all three phases (52.2-54.1%), whereas laparoscopic and robotic surgeries decreased (-3.4% and -3.0%, P< 0.001). General and/or vascular surgery, urology, and neurosurgery comprised a greater proportion of caseload (+9.5%, +3.0%, +2.8%), whereas orthopedics, gynecology, and otolaryngology/plastic surgery all decreased proportionally (-5.0%, -4.4%, -5.9%, P< 0.001). CONCLUSION: Operative volume significantly decreased during the SARS-CoV-2 outbreak. Emergency cases predominated during this time, although there were fewer emergency cases overall. General/vascular surgery became the most active service and open surgeries became more common. This reallocation of resources may be useful for future crisis planning among community hospitals.


Subject(s)
COVID-19 , Elective Surgical Procedures/statistics & numerical data , General Surgery/statistics & numerical data , Hospitals, Community , Humans , New York City , Pandemics
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