DOI: https://doi.org/10.21203/rs.3.rs-892548/v1
Background
The spread of the COVID-19 is having a worldwide impact on surgical
treatment. Our aim was to investigate the impact of the pandemic in a rural hospital in a low
densely populated area.
Methods
We investigated the volume and type of surgical operations during the pandemic
(March 2020 - February 2021) versus pre-pandemic period (March 2019 - February 2020) as
well as during the first and second pandemic waves compared to the pre-pandemic period.
We compared the volume and timing of emergency appendectomy and cholecystectomy
during the pandemic versus pre-pandemic period, the volume, timing and stages of elective
gastric and colorectal resections for cancer during the pandemic versus the pre-pandemic
period.
Results
In the prepandemic versus pandemic period, 42 versus 24 appendectomies and 174
versus 126 cholecystectomies (urgent and elective) were performed. Patients operated on
before as opposed to during the pandemic were older (58 vs. 52 years old, p=0.006),
including for cholecystectomy (73 vs. 66 years old, p=0.01) and appendectomy (43 vs. 30
years old, p = 0.04).
The logistic regression analysis with regard to cholecystectomy and appendectomy performed
in emergency showed that male sex and age were both associated to gangrenous type
histology, both in pandemic and prepandemic period. Finally, we found a reduction in cancer
stage I and IIA in pandemic versus prepandemic period, with no increase in the more
advanced stages.
Conclusions
the reduction in services imposed by governments during the first months of
total lock down did not justify the whole decrease in surgical interventions in the year of the
pandemic. Data suggest that greater "non-operative management" for cases of appendicitis
and acute cholecystitis does not lead to an increase in cases operated over time, nor to an
increase in the "gangrenous" pattern, which seems to depend on age advanced and male
population.
The rapid spread of the new Coronavirus causing the COVID-19 disease is having a worldwide
impact on the remodelling of surgical treatment (1,2). Before the pandemic declaration by the
WHO, it was already clear that postponing elective activities was a fundamental step in order
to preserve patients’ safety and to limit the viral spread. This measure increases the resources
for COVID-19 patients, clearing ward and intensive care unit (ICU) beds. Moreover, it avoids
unnecessary patient traffic in the hospital and reduces the risk of cross-infection between
elective patients, hospital visitors, and COVID-19 patients, preventing spread of infection from
the hospital to the community (3). To conserve resources and to limit the spread of the virus,
many hospitals were forced to delay elective surgical operations. Nearly 38% of cancer
surgeries are estimated to have been postponed worldwide during the 12-week peak of the
pandemic (4). Recent studies suggest that postponing elective colorectal cancer (CRC) surgery
by more than four weeks after diagnosis is associated with poorer outcomes (4,5). However,
the lack of evidence-based standards for what is considered a delay in cancer surgery has led
to inconsistent study designs and few attempts at meta-analysis (4). A 2007 meta-analysis
found delays in surgery for CRC did not worsen survival; however, the interpretation of these
results is limited since colon and rectal cancers were not evaluated separately (6). The state of
the art and most triage guidelines discourage delaying curative-intent surgery for colon cancer
(7,8). For resectable colon cancer, curative intent surgery should be carried out, while
preoperative chemotherapy could be considered for locally advanced colon cancer. For rectal
cancer, all preoperative treatment options should be considered (3). As for gastric cancer,
instead, priority should be given to surgical resection of tumour stage cT1b and patients with
ongoing perioperative treatment, while patients with cT2 cancer or higher should undergo
preoperative therapy (3).
Other aspects involve emergency surgery during COVID-19 pandemic. Based on recent
published literature, urgent surgery should be performed for: obstructive or nearly obstructive
CRC (prefer diversion in rectal cancer), acutely transfusion-dependent tumours, cancers with
pending evidence of local perforation and sepsis, and post-surgical and post-colonoscopy
complications (3). Non-operative or conservative management of acutely ill patients should be
considered when feasible and safe, and it is strongly encouraged with COVID-19 patients (3).
As the rate of new COVID-19 cases decrease, a progressive reopening of elective procedures
will be necessary. To date, the information on the long-term effects of the reorganization during
the COVID-19 pandemic of the surgical units serving rural population basins is scant.
However, such information may contribute to improve the management of health care
resources during new COVID-19 pandemic waves as well as other pandemics. Our research
group has already analysed the first effects of the COVID-19 pandemic on surgical activities
in a University Hospital serving mainly an urban area and in the emerging setting (1,9).
Our aim was now to investigate the impact of the Pandemic on general surgery operations,
including emergency and cancer surgeries, in a district hospital serving a wide, low densely
populated rural area.
This is an observational, retrospective cohort study conducted in a hospital serving a wide least
densely populated rural area in the Province of Ferrara, in North-eastern Italy.
To investigate the impact of the Pandemic on general surgery operations in such a hospital we
specifically evaluated:
1) The volume and type of surgical operations during the pandemic versus pre-pandemic
periods as well as during the first and second pandemic waves compared to the pre-pandemic
period;
2) The volume and timing of emergency appendectomy and cholecystectomy during the
pandemic versus pre-pandemic period;
3) The volume and timing of elective gastric and colorectal resections for cancer during the
pandemic versus the pre-pandemic period.
We considered prepandemic period from March 2019 to February 2020 and pandemic period
from March 2020 to February 2021, the two 12-month time intervals before and during the
COVID-19 pandemic, respectively.
We also focused on all surgical operations performed in the first quarter (January-April) of the
year 2019 (prepandemic), 2020 (first pandemic wave), and 2021 (second pandemic wave).
We collected data on all adult patients undergoing elective or emergency surgery for the
pandemic period (March 2020 - February 2021), from a prospective database, and prepandemic
period (March 2019 - February 2020), retrospectively.
To evaluate the impact of the COVID-19 pandemic on emergency surgery we elected
cholecystectomies and appendectomies for the possibility of "non-operative-management" of
cholecystitis and appendicitis as compared to other diseases. In particular, we evaluated
patients’ age, surgical approach (i.e., open or laparoscopic technique), and final pathology to
detect gangrenous cholecystitis and appendicitis.
As far as cancer surgery is concerned, we evaluated the patients’ age, the use of preoperative
chemotherapy, and TNM tumour stage (AJCC 8th edition) of both colorectal and gastric
cancers. We also evaluated the need of neoadjuvant and adjuvant therapies in the two periods
(prepandemic and pandemic).
Finally, in order to detect any delay attributable to the pandemic burden, we reviewed the data
of the multidisciplinary colorectal cancer team to detect the time elapsed between endoscopic
cancer diagnosis and the preoperative computerized tomography (CT) staging, surgery, and
final pathology reporting.
The normal distribution of the continuous variables was analysed using Kolmogorov-Smirnov
and Shapiro-Wilk tests, while not normally distributed variables were log-transformed before
entering the parametric statistical analysis. Categorical variables were summarized by using
frequencies and percentages, while continuous data were presented as both mean ± standard
deviation (SD) and median. The Mann-Whitney U test was used for continuous variables, and
the χ2 test or the Fisher exact test was used for categorical variables. The Wilcoxon signedrank
test was used in case of comparison of two related matched samples, while the analysis of
variance (ANOVA) was performed to compare two or more groups of data by analysing their
intrinsic variability and comparing it among groups.
In order to evaluate the predictive role of each variable toward the outcome chose, all variables
with a p < 0.05 in the univariate analyses were entered into multivariate logistic regression
analyses. All p < 0.05 were considered statistically significant.
Data analyses were performed by using SPSS 26.0 software (IBM SPSS Statistics, IBM
Corporation).
Prepandemic 2019 (N = 93) | Pandemic 2020 (N = 63) | Total of patients (N = 156) | Pvalue between groups | ||||||
---|---|---|---|---|---|---|---|---|---|
Age, mean ± SD (median) | Min-max | Age, mean ± SD (median) | Min-max | Age, mean ± SD (median) | Min-max | 0.006 | |||
56 ± 22 (58) | 18–91 | 52 ± 22 (52) | 17–86 | 55 ± 22 (55) | 17–91 | ||||
Gangrenous histologic pattern (yes, %) | Gangrenous histologic pattern (no, %) | Gangrenous histologic pattern (yes, %) | Gangrenous histologic pattern (no, %) | 0.89 | |||||
29 (31.2) | 64 (68.8) | 19 (30.2) | 44 (69.8) |
Prepandemic 2019 (N = 51) | Pandemic 2020 (N = 39) | Total of patients (N = 90) | Pvalue between groups | ||||||
---|---|---|---|---|---|---|---|---|---|
Age, mean ± SD (median) | Min-max | Age, mean ± SD (median) | Min-max | Age, mean ± SD (median) | Min-max | 0.01 | |||
67 ± 19 (73) | 21–89 | 63 ± 17 (66) | 25–86 | 65 ± 18 (71) | 21–89 | ||||
Gangrenous Cholecystitis (yes, %) | Gangrenous Cholecystitis (no, %) | Gangrenous Cholecystitis (yes, %) | Gangrenous Cholecystitis (no, %) | 0.90 | |||||
19 (37.3) | 32 (62.7) | 14 (35.9) | 25 (64.1) |
Prepandemic 2019 (N = 42) | Pandemic 2020 (N = 24) | Total of patients (N = 66) | Pvalue between groups | ||||||
---|---|---|---|---|---|---|---|---|---|
Age, mean ± SD (median) | Min-max | Age, mean ± SD (median) | Min-max | Age, mean ± SD (median) | Min-max | 0.04 | |||
43 ± 19 (43) | 18–91 | 35 ± 17 (30) | 17–78 | 40 ± 18 (37) | 17–91 | ||||
Gangrenous Appendicitis (yes, %) | Gangrenous Appendicitis (no, %) | Gangrenous Appendicitis (yes, %) | Gangrenous Appendicitis(no, %) | 0.78 | |||||
10 (23.8) | 32(76.2) | 5 (20.8) | 19 (79.2) |
Variable | OR | 95% CI (lower-upper) | pvalue |
---|---|---|---|
Sex (Male) | 3.14 | 1.47–6.70 | 0.008 |
Age | 1.02 | 1.01–1.04 | 0.003 |
Year of surgery (2020) | 1.05 | 0.50–2.20 | 0.89 |
Variable | OR | 95% CI (lower-upper) | pvalue |
---|---|---|---|
Sex (M) | 4.30 | 1.61–11.50 | 0.004 |
Age | 1.03 | 1.02–1.06 | 0.04 |
Year of surgery (2020) | 1.03 | 0.40–2.63 | 0.96 |
Variable | OR | 95% CI (lower-upper) | pvalue |
---|---|---|---|
Sex (M) | 2.00 | 0.59–6.74 | 0.26 |
Age | 1.01 | 0.98–1.04 | 0.50 |
Year of surgery (2020) | 0.96 | 0.27–3.39 | 0.95 |
prepandemic 2019 (N = 10) | pandemic 2020 (N = 9) | Total of patients (N = 19) | Pvalue between groups | ||||
---|---|---|---|---|---|---|---|
Age, mean ± SD (median) | Min-max | Age, mean ± SD (median) | Min-max | Age, mean ± SD (median) | Min-max | 0.25 | |
77 ± 5 (79) | 64–82 | 74 ± 6 (73) | 62–81 | 75 ± 6 (78) | 62–82 | ||
Tumor diameter (mm ± SD) | |||||||
47.2 ± 27.3 | 52.1 ± 27.1 | 49.4 ± 26.5 | 0.71 |
Prepandemic 2019 (N = 10) | Prepandemic 2020 (N = 9) | Pvalue between groups | ||
---|---|---|---|---|
Neoadjuvant therapy (yes, %) | Neoadjuvant therapy (no, %) | Neoadjuvant therapy (yes, %) | Neoadjuvant therapy (no, %) | 0.47 |
1 (10.0) | 9 (90.0) | 2 (22.2) | 7 (77.8) | |
Adjuvant therapy (yes, %) | Adjuvant therapy (no, %) | Adjuvant therapy (yes, %) | Adjuvant therapy (no, %) | 0.85 |
4 (40.0) | 6 (60.0) | 4 (44.4) | 5 (55.6) |
prepandemic 2019 (N = 65) | pandemic 2020 (N = 46) | Total of patients (N = 111) | Pvalue between groups | |||
---|---|---|---|---|---|---|
Age, mean ± SD (median) | Min-Max | Age, mean ± SD (median) | Min-Max | Age, mean ± SD (median) | Min-Max | 0.27 |
76 ± 12 (80) | 41–102 | 73 ± 10 (73) | 46–95 | 75 ± 11 (76) | 41–102 | |
Days from CT scans to surgery, mean ± SD (median) | Min-Max | Days from CT scans to surgery, mean ± SD (median) | Min-Max | Days from CT scans to surgery, mean ± SD (median) | Min-Max | 0.85 |
26 ± 25 (22) | 1-164 | 25 ± 17 (22) | 1–82 | 26 ± 22 (22) | 1-164 | |
Days from histologicanalysis to surgery, mean ± SD (median) | Min-Max | Days from histologicanalysis to surgery mean ± SD (median) | Min-Max | Days from histologicanalysis to surgery mean ± SD (median) | Min-Max | 0.23 |
36 ± 25 (33) | 4-121 | 30 ± 18 (27) | 1–84 | 33 ± 23 (30) | 1-121 | |
Days from colonscopy to CT scans, mean ± SD (median) | Min-Max | Days from colonscopy to CT scans, mean ± SD (median) | Min-Max | Days from colonscopy to CT scans, mean ± SD (median) | Min-Max | 0.43 |
14 ± 19 (7) | 1–96 | 12 ± 9 (10) | 1–49 | 13 ± 16 (8) | 1–96 | |
Days from colonscopy to surgery, mean ± SD (median) | Min-Max | Days from colonscopy to surgery, mean ± SD (median) | Min-Max | Days from colonscopy to surgery, mean ± SD (median) | Min-Max | 0.43 |
42 ± 29 (36) | 1-160 | 37 ± 19 (36) | 2–88 | 40 ± 26 (36) | 1-160 |
Between March 2019 and February 2020 (prepandemic period), a total of 663 surgical
operations were performed at our institution as opposed to 493 between March 2020 and
February 2021 (pandemic period). Fig. 1 summarizes the number of surgical procedures
performed in the two periods, detailing the type of surgical operations. In the prepandemic
compared to pandemic period, 42 versus 24 appendectomies and 174 versus 126
cholecystectomies (urgent and elective) were performed.
In the first quarters of 2019, 2020, and 2021 the total number of elective surgical operations
was 137, 116, and 130, respectively (p=0.79, Fig. 2). There was no statistical difference in the
total number of procedures performed in the first quarters of 2019 versus 2020 (p=0.21) and
2020 versus 2021 (p=0.21), although a reduction in lower G.I. Surgery (13 vs 18) and
cholecystectomies (28 vs. 46) were observed in 2020 versus 2019, while inguinal hernia repair
and haemorrhoidectomies increased in 2021 versus 2020.
Regarding emergency appendectomies and cholecystectomies, 93 operations were performed
in the prepandemic period compared to 63 in the pandemic period (Tab. 1). Patients operated
on before as opposed to during the Pandemic were older (58 vs. 52 years old, p=0.006), both
for cholecystectomy (73 vs. 66 years old, p=0.01) (Tab. 2) and appendectomy (43 vs. 30 years
old, p = 0.04) (Tab. 3). In the prepandemic versus pandemic period, the rate of gangrenous
cholecystitis at final pathology report was 37.3% (19 out of 51) and 35.9% (14 out of 39)
(p=0.90), while for gangrenous appendicitis was 23.8% (10 out of 42) and 20.8%(5 out of 24)
(p=0.78) (Tab. 1-3).
There were no substantial differences in the number of laparotomic appendectomy operations
performed during the period 2019-2020 (3 out of 42; 7,1%) versus 2020-2021 (2 out of 24;
8,3%).
In prepandemic period, 6 out of 51 laparotomic cholecystectomies were performed (11,7%)
compared to 3 out of 39 (7,7 %) during the pandemic period.
The logistic regression analysis, performed to evaluate factors associated to gangrenous pattern
in emergency cholecystectomy and appendectomy, showed that the male sex (OR 3.14, 95%
CI 1.47-6.10; p = 0.008) and age (OR 1.02, 95% CI 1.01-1.04; p = 0.003) were associated to a
gangrenous type histology both in pandemic and prepandemic period (Tab. 4).
Similar results were obtained in a subgroup analysing considering cholecystectomies (Tab. 5)
and appendectomy (Tab. 6) separately. Fig. 3 reports the total volumes of urgent procedures
performed in the prepandemic (2019) and pandemic (2020), differentiated by type of surgery
(cholecystectomies and appendectomies).
Ten patients underwent gastric resection for cancer in the prepandemic period compared to 9
in the pandemic period, with no difference between groups in terms of age, comorbidities, and
tumour size (Tab. 7).
We also evaluated the need of neoadjuvant and adjuvant therapies in the two periods and from
the analysis of these subgroups, no significant differences emerged (Tab. 8).
Sixty-five patients underwent colorectal cancer surgery in the prepandemic period compared
to 46 in the pandemic period.
For patients who underwent to colorectal resection for colonic cancer, the time elapsed between
endoscopic diagnosis, preoperative staging (contrast enhanced CT of the thorax, abdomen, and
pelvis), surgery, and final pathology during the prepandemic and pandemic period did not show
a significant difference (Tab. 9). Finally, we considered any differences between the groups in
terms of the need for neoadjuvant therapy.
This study shows that Covid-19 pandemic has change our activity in emergency surgery, while
elective surgery did not significantly change. As the COVID-19 pandemic has put the Italian
national health care system under pressure, we hypothesized three possible scenarios after the
reopening of surgical activities at the end of the total lockdown between March and May 2020
(first pandemic period):
1) A rapid increase in hospital admission of surgical patients compared to the same period
in2019;
2) A progressive increase in surgical patients’ admission distributed over a several months
period of time;
3) A non-recovery of unoperated surgical patients’ admission, compared to the same
period in 2019.
The data analysed shows a reduction in operating volumes in the first quarter of 2020 (first
pandemic wave), as a consequence of government restrictions (Fig. 1), which was not followed
by an increase in cases in the following months, until the interruption of the observation period
in April 2021 (Fig. 1-2).With the reopening of the main activities in Italy, starting from May
2020, separate diagnostic-therapeutic paths for positive Covid-19 patients and negative Covid-
19 patients were instituted. Comparing the first quarters of the three consecutive years (i.e.,
2019, 2020, and 2021), there was an overall recovery in terms of volumes of surgical
interventions during the second pandemic wave (2021) as compared to the prepandemic period
(2019) (Fig. 2).
Regarding emergency surgery, we focused on emergency appendectomy and cholecystectomy.
Data shows that patients operated on during the pandemic (March - May 2020) were younger
as compared to the prepandemic period (March - May 2019) (Tab. 1-3). In pandemic versus
prepandemic period, both urgent cholecystectomies (51 vs. 39, p) and appendectomies (42 vs.
24, p) decreased, but There were no significant changes in the age of colon and stomach cancer
patients (Tab. 7,8). we did not detect a greater number of histological exams with a
"gangrenous" pattern. We identified, however, an association between gangrenous pattern of
the gallbladder and older age and male sex (Tab. 5). This data has not been identified in the
appendices. The decline in emergency operated patients for appendectomy and
appendicectomy is in accordance with other district hospitals in the Province of Ferrara.
The number of cases of stomach cancer who had surgery remained constant in between periods.
Interestingly, the number of patients who underwent preoperative chemotherapy in the
prepandemic period compares well with the prepandemic period.
The curative treatment of colon cancer did not show a delay in the diagnostic-therapeutic path
during pandemic versus prepandemic period (Tab. 9). In particular, there were no statistically
significant differences in time intervals between endoscopic diagnosis, preoperative contrast
enhanced CT, surgery, and definitive histological report. In prepandemic period, 62 patients
had surgery, compared to 44 cases in pandemic. Four patients in pandemic underwent
neoadjuvant chemotherapy, while in prepandemic we did not register any cases. Of note,
looking at the stages of colonic tumours of patients undergoing surgery, there was a clear
reduction in stage I and IIA in the pandemic versus prepandemic period (Fig. 4).
The presence of a pre-established multidisciplinary team and a perioperative pathway for
colorectal cancer patients may have helped to preserve the diagnostic and treatment steps
during the Pandemic.
A possible explanation for the drop in surgical admissions in the pandemic period may rely on
the advanced age of Covid-19 patients, who is the population with highest incidence of colon
cancer and cholelithiasis. The increase in mortality and morbidity in the elderly during the
Pandemic, could explain the decline in surgical admission as well as the reduction in the age
of patients who underwent emergency surgery during the Pandemic.
Another possible explanation, however, could be the fear of the population, in particular the
elderly, to go to the hospital during the Pandemic due to the risk of contagion in crowded
environments. This could explain the decline in hospitalizations for acute appendicitis in
pandemic and the younger age, as younger people may have less fear of Covid-19 as compared
to the elderly as they were affected by a mild form of the disease.
Finally, as the decrease of surgical activity in the first quarter of 2020 was not recovered
subsequently, including urgent appendectomy and cholecystectomy, may suggest greater use
of medical treatment or non-operational management.
The limitations of the study are related to the retrospective nature which introduces bias.
The decrease in surgical interventions in the Pandemic due to the reduction in services imposed
by the health reorganization to face the Covid-19 spread was not recuperated in the following
months, although the subsequent reopening with Covid-free pathways.
Increased medical treatment and non-operative management for acute appendicitis and acute
cholecystitis may have occurred operated in the Pandemic, but no increase in the "gangrenous"
pattern could be detected.
The curative treatment of colon cancer was not delayed during the Pandemic, possibly for the
presence of a multidisciplinary team and a consolidated perioperative pathway for such
patients.
Finally, new pathogen affecting more the elderly may have influenced the reduction of surgical
interventions in pandemic compared to prepandemic.
AJCC: American Joint Committee on Cancer
ANOVA: analysis of variance
COVID-19: CoronaVirus Disease-19
CRC: colorectal cancer
CT: computerized tomography
ICU: intensive care unit
SD: standard deviation
STROBE: Strenghtening the Reporting of Observational Studies in Epidemiology
WMA: World Medical Association
Funding
This study did not receive any grant from funding agencies in the public, commercial, or not-for-profit sectors.
Acknowledgement
Authors would thank all the collaborators of this research:
Dr. M. Bertasi, Dr. L. Di Marco, Dr. G. Bisi, Dr. A. Cataldi, Dr. D. D’Antonio, Dr. M. Fazzin, Dr. S.
Gennari, Dr. F. Pindozzi, Dr. M. Poledrelli, Dr R. Salmi, Dr V. Sciascia, Dr. S. Severi, Dr. R. Soverini, Dr M. Torchiaro, Dr A. Campagnaro.
Ethics approval and consent to participate
This study was approved by Institutional Review Board, Azienda USL di Ferrara, Italy.
Consent for publication
Not applicable.
Competing interests
The authors have no relevant financial or non-financial interests to disclose.
Author details
1) General Surgery Unit, Azienda USL di Ferrara, Lagosanto, Italy
2) Department of Medical Sciences, University of Ferrara, Ferrara, Italy
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