Abstract
Background
The COVID-19 pandemic affected healthcare systems worldwide, disrupting elective surgeries including those for cancer treatment. This study examines the effects of the pandemic on outcomes of pancreatic cancer surgeries at a specialized high-volume surgery center.
Materials and methods
This study compared surgical volume and outcomes of pancreas resections between the pre-pandemic (January 2019 to February 2020), early pandemic (March 2020 to January 2021), and late pandemic (February 2021 to December 2021) periods. Perioperative and postoperative data were retrospectively analyzed from a prospectively maintained database together with surgical complications, mortality rates, and hospital stays.
Results
There was no significant reduction in the number of pancreas resections performed during the pandemic. The rate of primary resectable tumors was significantly lower during the late pandemic phase (66% vs. 65.9% vs. 56.5%; P = 0.024), and subsequently application of neoadjuvant therapies increased in the late pandemic phase (26% vs. 25.4% vs. 33.8%; P = 0.079). The number of chemotherapy cycles were also higher during the late pandemic phase (P = 0.009). Surgical complication rates were higher during the late pandemic phase (47.8% vs. 45.6% vs. 56%; P = 0.043), but mortality rates remained low (30-day mortality: 1.6% vs. 1% vs. 3.7%, P = 0.116; 90-day mortality: 2.5% vs. 1.6% vs. 3.7%, P = 0.296).
Conclusion
Our results indicate effective management of pancreatic cancer despite the challenges presented by the pandemic. These findings suggest that centralized, specialized surgical centers can maintain high-quality care of patients with pancreatic cancer during crises like the COVID-19 pandemic. These findings underscore the importance of timely surgical interventions for cancer patients, even when the healthcare system is disrupted.
Keywords: Pancreas cancer, Pancreatoduodenectomy, COVID-19, Mortality, Standardization
Introduction
COVID-19, the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was declared a global pandemic by the World Health Organization (WHO) in March 2020. Since then, the pandemic has significantly disrupted the treatment of non-infectious diseases, particularly malignancies [1]. Considering the high rate of infection and mortality induced by SARS-CoV-2, severe burden was imposed to the health care systems all around the world [2, 3]. This burden resulted in considerable limitations in capacity of the hospital and intensive care units (ICU) [3, 4]. Accordingly, these limitations impacted the elective surgeries and restricted the prioritization of the cancer patients considering the available resources. According to the WHO, disease management was disrupted in 42% of patients with non-infectious diseases [1, 4] and surgical care was delayed in 76% of patients with cancer [1]. Despite this, cancer-related mortality has remained consistent.
Pancreatic cancer is a particularly aggressive disease, with poor long-term outcomes, particularly among patients with pancreatic ductal adenocarcinoma (PDAC). The main reasons for this poor prognosis are late detection, low oncological response, and early dissemination. In addition to this, delayed treatment can exacerbate the oncological and overall survival of patients even further [5, 6]. Therefore, the treatment delays caused by the COVID-19 pandemic may have posed more of a threat to these patients [7]. Indeed, the number of pancreas resections decreased more than two-fold during the pandemic [8]. Up-front surgeries were further disrupted by reductions in the number of inpatient beds, outpatient visits, and diagnostic procedures [9–11].
Our center is specialized in hepatopancreatobiliary (HPB) surgery and performs a high number of pancreas surgeries each year. In the current study, the impact of the pandemic on the number and outcomes of pancreas resections for PDAC by retrospectively analyzing data from a prospectively maintained database was evaluated.
Methods
Study population
All patients who underwent pancreas resection for malignancies between January 2019 and December 2022 were included. Peri- and postoperative data were collected from our prospectively maintained database. Approval of the study was granted by the independent ethics committee (institutional review board) of the University of Heidelberg (approval number: S-011/2015). The ethics committee waived the consent to participation because of the retrospective nature of the study. All procedures were performed according to the most recent revision of the Declaration of Helsinki and the standard operating procedure (SOP) of the division of pancreas surgery, which allows individualized decision-making and treatment for patients with pancreas tumors. Therapeutic decisions were made by an interdisciplinary institutional tumor board including surgeons, oncologists, radiologists, gastroenterologists, radiooncologists, and pathologists. The main characteristics of the SOP were a standardized surgical approach and precise postoperative care.
There were three patient groups – pre-pandemic, early pandemic, and late pandemic – depending on when the patient underwent pancreas resection. Patients who had surgery between January 2019 and February 2020 were in the pre-pandemic control group, patients who had surgery between March 2020 and January 2021 were in the early pandemic group, and patients who had surgery between February 2021 and December 2021 were in the late pandemic group. The early pandemic period marked the first wave of infections, and the late pandemic period marked the beginning of the vaccination campaign.
Patient data collection
Pre- and intraoperative evaluations
Preoperative clinical data were recorded, including demographic data such as age and gender, preoperative neoadjuvant therapy, and type of pancreas malignancy.Therapy regimen and number of cycles were also obtained for patients with PDAC. The resectability status of the pancreatic cancer was defined based on the criteria introduced in National Comprehensive Cancer Network (NCCN) Version 3.2024 [12]. Data on the duration of the operation and amount of blood loss were also collected. The rate and amount of fresh frozen plasma and red blood cell transfusion during the patient’s hospital stay were recorded. The type of pancreas resection was categorized into three subgroups: pancreatoduodenectomy (PD), total pancreatectomy (TP), and distal pancreatectomy (DP). The difficulty of the PD and TP procedures were graded as standard procedures, additional venous resection, multivisceral resection, and additional arterial resection [13, 14].
Postoperative evaluations and follow-up
The overall rate of surgical complications was assessed independently of the severity grade. Delayed gastric emptying (DGE) [15], postoperative pancreas fistula (POPF) [16], and postpancreatectomy hemorrhage (PPH) [17] were also assessed and classified using the definition of the International Study Group of Pancreas Surgery. Relaparatomy was defined as further surgery because of complications after the primary pancreas resection. The duration of intermediate care (IMC), ICU stay, and hospital stay were also recorded. Postoperative mortality was defined as all-cause death occurring within 30 days and 90 days after surgery.
Statistical analysis
Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 27.0 (IBM Corp, released 2013, Armonk, NY). Categorical data were presented as frequencies and proportions and continuous data were presented as medians and ranges. Categorical data were compared using the Chi-square test of association or Fisher’s exact test. Differences in preoperative and postoperative continuous data between patients were determined using the Kruskal–Wallis test. A two-sided P value less than 0.05 was considered significant in all analyses.
To enable a comprehensive comparison across three timeframes, risk-adjusted outcomes were analyzed for the cohorts. A generalized estimating equation (GEE) model with a logit link function was used, accounting for the clustering of patients within each timeframe. The model included various preoperative and intraoperative patient characteristics, such as age, gender, ASA classification, administration of neoadjuvant therapy, type of surgery and tumor entity. The independent impact of the surgery timeframe on postoperative outcomes was then evaluated by incorporating the timepoints into the model. This allowed for the calculation of risk-adjusted odds ratios and expected rates of key outcomes, including surgical complications and 30- and 90-day mortality. All analyses were conducted using Stata Statistical Software for Mac, Release 17 (StataCorp LLC, 2021, College Station, TX).
Results
Demographic and preoperative data
Between January 2019 and December 2022, 871 patients underwent pancreas resection for malignancies in our center. The demographic data of the study cohort are summarized in Table 1. The most common indication for resection was PDAC (791 patients; 90.8%). The median patient age was 67.5 years (range: 34–90) and 465 (53.4%) patients were male. Neoadjuvant chemotherapy was performed in 243 (27.9%) patients. Of the included patients, 427 (49.0%) underwent PD, 255 (29.3%) underwent DP, and 189 (21.7%) underwent TP.
Table 1.
Characteristics of patients undergoing pancreas surgery in 2019–2022
| Total (N = 871) | Time | P value | ||||
|---|---|---|---|---|---|---|
| Pre-pandemic phase (N = 320) | Early pandemic phase (N = 309) | Late pandemic phase (N = 242) | ||||
| Age | 67.5 (34–90) | 67 (37–87) | 69 (35–87) | 67 (34–90) | 0.220 | |
| Gender | Male | 465 (53.4%) | 145 (45.3%) | 157 (50.8%) | 104 (43.0%) | 0.158 |
| Female | 406 (46.6%) | 175 (54.7%) | 152 (49.2%) | 138 (57.0%) | ||
| ASA | I | 73 (8.4%) | 19 (5.9%) | 33 (10.7%) | 21 (8.7%) | 0.056 |
| II | 445 (51.1%) | 154 (48.1%) | 165 (53.4%) | 126 (52.1%) | ||
| III | 353 (40.5%) | 147 (45.9%) | 111 (35.9%) | 95 (39.3%) | ||
| Diagnosis | PDAC | 791 (90.8%) | 288 (90.0%) | 287 (92.9%) | 216 (89.3%) | 0.281 |
| Others | 80 (9.2%) | 32 (10.0%) | 22 (7.1%) | 26 (10.7%) | ||
| Neoadjuvant chemotherapy | 243 (27.9%) | 84 (26.3%) | 75 (24.3%) | 84 (34.7%) | 0.018 | |
| Procedure | PD | 427 (49.0%) | 166 (51.9%) | 136 (44.0%) | 125 (51.7%) | 0.025 |
| TP | 189 (21.7%) | 78 (24.4%) | 65 (21.0%) | 46 (19.0%) | ||
| DP | 255 (29.3%) | 76 (23.8%) | 108 (35.0%) | 71 (29.3%) | ||
| Procedure difficulty | ||||||
| PD | Standard | 234 (54.8%) | 87 (52.4%) | 78 (57.4%) | 69 (55.2%) | 0.207 |
| Venous resection | 112 (26.2%) | 48 (28.9%) | 31 (22.8%) | 33 (26.4%) | ||
| Multivisceral resection | 62 (14.5%) | 26 (15.7%) | 26 (11.8%) | 20 (16.3%) | ||
| Arterial resection | 19 (4.4%) | 5 (3.0%) | 11 (8.1%) | 3 (2.4%) | ||
| TP | Standard | 55 (29.1%) | 22 (28.2%) | 26 (40.0%) | 7 (15.2%) | 0.077 |
| Venous resection | 40 (21.2%) | 19 (24.4%) | 10 (15.4%) | 11 (23.9%) | ||
| Multivisceral resection | 59 (31.2%) | 24 (30.8%) | 15 (23.1%) | 20 (43.5%) | ||
| Arterial resection | 35 (18.5%) | 13 (16.7%) | 14 (21.5%) | 8 (17.4%) | ||
| Operation time (min) | 347.5 (110–877) | 347.5 (117–640) | 348 (110–877) | 345.5 (117–662) | 0.944 | |
| Blood loss (mL) | 1050 (0–4800) | 1100 (0–4800) | 1000 (0–4700) | 1000 (0–3800) | 0.360 | |
| Morbidity | 429 (49.3%) | 153 (47.8%) | 141 (45.6%) | 135 (56.0%) | 0.043 | |
| Clinically relevant DGE | 29 (3.3%) | 16 (5.0%) | 8 (2.6%) | 5 (2.1%) | 0.105 | |
| Clinically relevant POPF* | 41 (6.0%) | 11 (4.5%) | 12 (4.9%) | 18 (9.2%) | 0.085 | |
| Clinically relevant PPH | 22 (2.5%) | 11 (3.9%) | 4 (1.2%) | 7 (2.7%) | 0.108 | |
| Relaparotomy | 123 (14.1%) | 51 (16.2%) | 42 (13.7%) | 30 (12.9%) | 0.513 | |
| 30-day mortality | 16 (1.8%) | 5 (1.6%) | 3 (1.0%) | 8 (3.3%) | 0.116 | |
| 90-day mortality | 22 (2.5%) | 8 (2.5%) | 5 (1.6%) | 9 (3.7%) | 0.296 | |
| ICU stay | 2 (1–82) | 2 (1–82) | 2 (1–60) | 2 (1–30) | 0.053 | |
| IMC stay | 4 (1–87) | 4 (1–83) | 5 (1–87) | 5 (2–42) | 0.930 | |
| Hospital stay | 14 (2–196) | 14 (6–196) | 14 (6–104) | 15 (2–126) | 0.497 | |
Results are presented as median (range) or as n (%)
ASA: American Society of Anesthesiologists Physical Status; DGE: delayed gastric emptying; DP: distal pancreatectomy; ICU: intensive care unit; IMC: intermediate care; PD: pancreatoduodenectomy; PDAC: pancreatic ductal adenocarcinoma; POPF: postoperative pancreas fistula; PPH: postpancreatectomy hemorrhage; TP: total pancreatectomy
The number of patients undergoing pancreas resection did not change significantly between the three time periods studied (Fig. 1). Linear prediction revealed a steady workflow of pancreas surgeries in our clinic. The number of pancreas surgeries increased by 5.2% during the early phase of the pandemic compared with the pre-pandemic phase, and the number of pancreas surgeries was lowest during the late phase of the pandemic, but these differences were not significant (Fig. 1).
Fig. 1.
Timeline of the study period and effects of the COVID-19 pandemic on the frequency of pancreas resection in our clinic
Pre- and perioperative patient data are presented in Table 1. PDAC was the main indication for pancreas resection during all three periods. However, the rate of neoadjuvant therapy was significantly higher during the late pandemic period than during the early pandemic and pre-pandemic prior periods (P = 0.018). PD was the most common type of resection in all three periods, although fewer patients underwent PD during the early pandemic phase than during the other phases (Fig. 2). The complexity of PD was similar among the three periods (P = 0.207). TP procedures involved more multivisceral and arterial resections during the late pandemic phase, but were not significantly more complex (P = 0.077). In addition, the overall rate of surgical complications was higher during late pandemic phase (P = 0.043). POPF was the only postoperative complication that increased in frequency during the late pandemic phase, but this change was not significant (P = 0.085). The risk-adjusted rate of surgical complications, 30- and 90-day mortality are summarized in Table 2. There were no significant differences in the rate of mortality and the duration of ICU and hospital stay between the three periods.
Fig. 2.
Number and type of pancreas surgeries performed in 2019–2022
Table 2.
Risk-adjusted rates of surgical complications, 30-day and 90-day mortality after pancreatic surgery during the different timepoints
| Pre-pandemic phase | Early pandemic pahse | Late pandemic phase | ||
|---|---|---|---|---|
| Surgical complications | Observed rate | 47.8% | 45.6% | 56.0% |
| Risk-adjusted rate | 46.9% | 46.9% | 55.0% | |
| 95%CI | 41.4–52.5 | 41.3–52.7 | 48.7–61.4 | |
| 30-day mortality | Observed rate | 1.6% | 1.0% | 3.3% |
| Risk-adjusted rate | 1.2% | 0.8% | 2.5% | |
| 95%CI | 0.07-2.0 | 0.0-1.7 | 0.5–4.5 | |
| 90-day mortality | Observed rate | 2.5% | 1.6% | 3.7% |
| Risk-adjusted rate | 2.1% | 1.4% | 3.0% | |
| 95%CI | 0.5–3.6 | 0.1–2.7 | 0.9–5.2 |
CI: confidence interval
Patients with PDAC
The baseline characteristics and outcomes of patients diagnosed with PDAC are summarized in Table 3. The median age of patients was 67 years (range: 35–87) and 374 (47.3%) patients were male. The American Society of Anesthesiologists Physical Status (ASA) classification varied between the patients: 9.4% had an ASA I classification, 51.6% had an ASA II classification, and 39.1% had an ASA III classification. According to the preoperative radiological findings, the rate of primary resectable pancreatic tumors was significantly lower during the late pandemic phase, compared to pre- and early pandemic phases (67% vs. 66.9% vs. 56.5%, P = 0.024). Moderate to severe systemic disease was predominant among these patients during the early pandemic phase (P = 0.018). Only 221 (27.9%) patients with PDAC received neoadjuvant chemotherapy, without any significant difference in therapy regimen and number of cycles (P = 0.151 and P = 0.286). PD was the predominant surgery (49.3%), followed by DP (29.2%) and TP (21.5%). Notably, there were significantly more TP procedures during the early pandemic phase than during the pre-pandemic and late pandemic phases (P = 0.006). Morbidity was reported in 391 (49.4%) patients, and was significantly higher during the late pandemic period (P = 0.035). Postoperative complications such as DGE and PPH did not differ in patients with PDAC across the pandemic phases. The rate of POPF was 6.3% overall, and this rate increased slightly but not significantly to 9.6% in the late pandemic phase (P = 0.103). The overall 30-day mortality rate was 1.9% and the overall 90-day mortality rate was 2.5% and this did not change across the three time periods, despite the challenges presented by the pandemic (30-day mortality: P = 0.070, 90-day mortality: P = 0.192). The lengths of ICU, IMC, and hospital stays did not differ significantly among the pandemic phases, indicating consistent postoperative care for PDAC patients throughout the study period.
Table 3.
Characteristics of patients undergoing pancreas surgery for pancreatic ductal adenocarcinoma in 2019–2022
| Total (N = 791) | Time | P value | ||||
|---|---|---|---|---|---|---|
| Pre-pandemic phase (N = 288) | Early pandemic phase (N = 287) | Late pandemic phase (N = 216) | ||||
| Age | 67 (34–90) | 67 (37–87) | 69 (35–87) | 67 (34–90) | 0.217 | |
| Gender | Male | 374 (47.3%) | 132 (45.8%) | 150 (52.3%) | 92 (42.6%) | 0.082 |
| Female | 417 (52.7%) | 156 (54.2%) | 137 (47.7%) | 124 (57.4%) | ||
| ASA | I | 74 (9.4%) | 30 (10.4%) | 19 (6.6%) | 25 (11.6%) | 0.018 |
| II | 408 (51.6%) | 159 (55.2%) | 135 (47.0%) | 114 (25.8%) | ||
| III | 309 (39.1%) | 99 (34.4%) | 133 (46.3%) | 77 (35.6%) | ||
| Primary resectable tumor | 507 (64.1%) | 193 (67.0%) | 192 (66.9%) | 122 (56.5%) | 0.024 | |
| Neoadjuvant chemotherapy | 221 (27.9%) | 75 (26.0%) | 73 (25.4%) | 73 (33.8%) | 0.079 | |
| FOLFIRINOX | 193 (87.3%) | 66 (88.0%) | 68 (93.2%) | 59 (80.8%) | 0.080 | |
| Gemcitabine | 28 (12.7%) | 9 (12.0%) | 5 (6.8%) | 14 (19.2%) | ||
| Number of cycles | 8 (2–28) | 7 (3–12) | 9 (2–18) | 9 (2–28) | 0.009 | |
| Procedure | PD | 390 (49.3%) | 151 (52.4%) | 125 (43.6%) | 114 (52.8%) | 0.006 |
| TP | 170 (21.5%) | 72 (25.0%) | 60 (20.9%) | 38 (17.6%) | ||
| DP | 231 (29.2%) | 65 (22.6%) | 102 (35.5%) | 64 (29.6%) | ||
| Procedure difficulty | ||||||
| PD | Standard | 208 (53.3%) | 74 (49.0%) | 69 (55.2%) | 65 (57.0%) | 0.158 |
| Venous resection | 107 (27.4%) | 48 (31.8%) | 30 (24.0%) | 29 (25.4%) | ||
| Multivisceral resection | 56 (14.4%) | 24 (15.9%) | 15 (12.0%) | 17 (14.9%) | ||
| Arterial resection | 19 (4.9%) | 5 (3.3%) | 11 (8.8%) | 3 (2.6%) | ||
| TP | Standard | 47 (27.6%) | 17 (23.6%) | 24 (40.0%) | 6 (15.8%) | 0.073 |
| Venous resection | 38 (22.4%) | 19 (26.4%) | 10 (16.7%) | 9 (23.7%) | ||
| Multivisceral resection | 51 (30.0%) | 23 (31.9%) | 12 (20.0%) | 16 (42.1%) | ||
| Arterial resection | 34 (20.0%) | 13 (18.1%) | 14 (23.3%) | 7 (18.4%) | ||
| Operation time (min) | 347.5 (110–877) | 351 (117–640) | 348 (110–877) | 345 (117–662) | 0.813 | |
| Blood loss (mL) | 1100 (0–4800) | 1100 (0–4800) | 1000 (0–4700) | 1100 (0–3800) | 0.298 | |
| Morbidity | 391 (49.4%) | 139 (48.3%) | 130 (45.3%) | 122 (56.7%) | 0.035 | |
| Clinically relevant DGE | 28 (3.5%) | 16 (5.6%) | 7 (2.4%) | 5 (2.3%) | 0.067 | |
| Clinically relevant POPF* | 39 (6.3%) | 11 (5.1%) | 11 (4.8%) | 17 (9.6%) | 0.103 | |
| Clinically relevant PPH | 20 (2.5%) | 10 (3.5%) | 3 (1.0%) | 7 (3.2%) | 0.132 | |
| Relaparotomy | 112 (14.4%) | 45 (15.8%) | 39 (13.7%) | 28 (13.5%) | 0.713 | |
| 30-day mortality | 15 (1.9%) | 4 (1.4%) | 3 (1.0%) | 8 (3.7%) | 0.070 | |
| 90-day mortality | 20 (2.5%) | 6 (2.1%) | 5 (1.7%) | 9 (4.2%) | 0.192 | |
| ICU stay | 2 (1–82) | 2 (1–82) | 2 (1–60) | 2 (1–30) | 0.105 | |
| IMC stay | 4 (1–87) | 4 (1–83) | 5 (1–87) | 5 (2–42) | 0.944 | |
| Hospital stay | 14 (2–196) | 14 (6–196) | 14 (6–104) | 15 (2–126) | 0.366 | |
Results are presented as median (range) or as n (%)
ASA: American Society of Anesthesiologists Physical Status; DGE: delayed gastric emptying; DP: distal pancreatectomy; ICU: intensive care unit; IMC: intermediate care; PD: pancreatoduodenectomy; POPF: postoperative pancreas fistula; PPH: postpancreatectomy hemorrhage; TP: total pancreatectomy
*Patients undergone TP were excluded from the analyses
Different surgical procedures for PDAC
Whipple surgery
During the study period, 390 patients underwent the Whipple procedure for PDAC. The demographic and clinical profile and the intraoperative and postoperative outcomes of these patients are detailed in Table 4. The median age of patients undergoing the Whipple procedure was 67 years (range: 38–90), and 56.4% were male. The age distribution and gender ratio of these patients did not differ significantly between the three study phases (age: P = 0.876, gender: P = 0.469). Of these patients, 24.9% received neoadjuvant chemotherapy prior to surgery, and there were no significant changes in preoperative treatment between phases (P = 0.217). The Whipple surgeries for PDAC were categorized based on complexity into standard PD (53.3%), PD with venous resection (27.4%), PD with multivisceral resection (14.4%), and PD with arterial resection (4.9%). As shown in Fig. 3, the complexity of surgery remained consistent across the study periods (P = 0.158). The median operation time was 365 min and the median blood loss was 1100 mL, with no significant differences between the three phases (operation time: P = 0.619, blood loss: P = 0.349). The overall morbidity was 52.3%, with no significant difference across the phases (P = 0.953); this high morbidity reflects the high complexity and risk associated with the Whipple procedure. Rates of clinically relevant DGE, POPF, and PPH were 4.1%, 5.6%, and 2.3% respectively, and were not significantly different between phases (DGE: P = 0.33, POPF: P = 0.25, and PPH: P = 0.815). The relaparotomy rate was 14.9% (P = 0.905), the 30-day mortality rate was 1.8%, and the 90-day mortality rate was 2.6%. No significant differences in mortality were observed between phases, except for a slight increase in 30-day mortality during the late pandemic phase (P = 0.046), which was not significant after post-hoc analysis. The median ICU stay was 2 days and the median hospital stay was 14 days, with no significant differences between pandemic phases (ICU stay: P = 0.360, hospital stay: P = 0.670).
Table 4.
Characteristics of patients undergoing the Whipple procedure for pancreatic ductal adenocarcinoma in 2019–2022
| Total (N = 390) | Time | P value | ||||
|---|---|---|---|---|---|---|
| Pre-pandemic phase (N = 151) | Early pandemic phase (N = 125) | Late pandemic phase (N = 114) | ||||
| Age | 67 (38–90) | 68 (40–87) | 67 (38–87) | 66 (40–90) | 0.876 | |
| Gender | Male | 170 (43.6%) | 71 (47.0%) | 71 (56.8%) | 45 (39.5%) | 0.469 |
| Female | 220 (56.4%) | 80 (53.0%) | 54 (43.2%) | 69 (60.5%) | ||
| ASA | I | 74 (9.4%) | 30 (10.4%) | 19 (6.6%) | 25 (11.6%) | 0.018 |
| II | 408 (51.6%) | 159 (55.2%) | 135 (47.0%) | 114 (25.8%) | ||
| III | 309 (39.1%) | 99 (34.4%) | 133 (46.3%) | 77 (35.6%) | ||
| Neoadjuvant chemotherapy | 97 (24.9%) | 31 (20.5%) | 32 (25.6%) | 34 (29.8%) | 0.217 | |
| FOLFIRINOX | 82 (84.5%) | 26 (83.9%) | 30 (93.8%) | 26 (76.5%) | 0.151 | |
| Gemcitabine | 15 (15.5%) | 5 (16.1%) | 2 (6.3%) | 8 (23.5%) | ||
| Number of cycles | 8 (2–20) | 7.5 (3–15) | 10 (2–18) | 8 (2–20) | 0.286 | |
| Operation time (min) | 365 (110–735) | 371 (174–590) | 356 (110–735) | 367 (147–662) | 0.619 | |
| Blood loss (mL) | 1100 (0–4800) | 1050 (0–4600) | 1100 (0–4500) | 1000 (0–4800) | 0.349 | |
| Morbidity | 204 (52.3%) | 78 (51.7%) | 65 (52.0%) | 61 (53.5%) | 0.953 | |
| Clinically relevant DGE | 16 (4.1%) | 9 (6.0%) | 4 (3.2%) | 3 (2.6%) | 0.331 | |
| Clinically relevant POPF* | 22 (5.6%) | 5 (3.3%) | 8 (6.4%) | 9 (7.9%) | 0.251 | |
| Clinically relevant PPH | 9 (2.3%) | 4 (2.6%) | 2 (1.6%) | 3 (2.6%) | 0.815 | |
| Relaparotomy | 58 (14.9%) | 22 (14.6%) | 20 (16.0%) | 16 (14.0%) | 0.905 | |
| 30-day mortality | 7 (1.8%) | 1 (0.7%) | 1 (0.8%) | 5 (4.4%) | 0.046 | |
| 90-day mortality | 10 (2.6%) | 3 (2.0%) | 2 (1.6%) | 5 (4.4%) | 0.336 | |
| ICU stay | 2 (1–31) | 2 (1–26) | 2 (1–31) | 2 (1–25) | 0.360 | |
| IMC stay | 4 (1–47) | 3 (1–47) | 4 (2–31) | 4 (2–22) | 0.546 | |
| Hospital stay | 14 (5–196) | 14 (6–196) | 13 (7–101) | 14 (5–87) | 0.670 | |
Results are presented as median (range) or as n (%)
ASA: American Society of Anesthesiologists Physical Status; DGE: delayed gastric emptying; ICU: intensive care unit; IMC: intermediate care; POPF: postoperative pancreas fistula; PPH: postpancreatectomy hemorrhage
*Patients undergone TP were excluded from the analyses
Fig. 3.
Difficulty of pancreaticoduodenectomy procedures performed in 2019–2022
Total pancreatectomy
The median age of patients undergoing TP was 67 years (range: 34–86). Notably, patients who underwent TP during the early pandemic phase were significantly older (median age: 69 years) than those who underwent TP during the pre-pandemic and late pandemic phase (P = 0.034). Gender was almost completely balanced in this cohort, with 50.6% of the patients being female (Table 5). Neoadjuvant chemotherapy was administered to 33.5% of patients, and was administered consistently across the pandemic phases (P = 0.874). The complexity of TP was categorized into standard TP (27.6%), TP with multivisceral resection (30.0%), TP with venous resection (22.4%), and TP with arterial resection (20.0%). As provided in Fig. 4, there was no significant difference in complexity across the pandemic phases (P = 0.073). The median operation time was 427 min and the median blood loss was 1700 mL, with no significant differences between study periods (operation time: P = 0.250, blood loss: P = 0.509). Postoperative morbidity was observed in 60.0% of cases and was significantly higher during the early pandemic phase (P = 0.004). The overall mortality rate was 4.7% after TP and did not differ significantly between the study periods. There were also no significant differences in the duration of ICU, IMC, and hospital stays between pandemic phases in this cohort.
Table 5.
Characteristics of patients undergoing total pancreatectomy for pancreatic ductal adenocarcinoma in 2019–2022
| Total (N = 170) | Time | P value | ||||
|---|---|---|---|---|---|---|
| Pre-pandemic phase (N = 72) | Early pandemic phase (N = 60) | Late pandemic phase (N = 38) | ||||
| Age | 67 (34–86) | 66 (42–80) | 69 (48–81) | 65 (34–86) | 0.135 | |
| Gender | Male | 84 (49.4%) | 31 (43.1%) | 38 (63.3%) | 17 (44.7%) | 0.048 |
| Female | 86 (50.6%) | 41 (56.9%) | 22 (36.7%) | 21 (55.3%) | ||
| ASA | I | 11 (6.5%) | 3 (4.2%) | 4 (6.7%) | 4 (10.5%) | 0.208 |
| II | 89 (52.4%) | 33 (45.8%) | 37 (61.7%) | 19 (50.0%) | ||
| III | 70 (41.2%) | 36 (50.0%) | 19 (31.7%) | 15 (39.5%) | ||
| Neoadjuvant chemotherapy | 57 (33.5%) | 23 (31.9%) | 20 (33.3%) | 14 (36.8%) | 0.874 | |
| FOLFIRINOX | 53 (93.0%) | 22 (95.7%) | 19 (95.0%) | 12 (85.7%) | 0.470 | |
| Gemcitabine | 4 (7.0%) | 1 (4.3%) | 1 (5.0%) | 2 (14.3%) | ||
| Number of cycles | 8 (2–15) | 7 (3–15) | 9 (2–14) | 10 (3–15) | 0.399 | |
| Operation time (min) | 427 (200–877) | 421 (234–640) | 468 (200–877) | 419 (247–662) | 0.250 | |
| Blood loss (mL) | 1700 (100–4800) | 1650 (400–4700) | 1850 (100–4500) | 1900 (200–4800) | 0.509 | |
| Morbidity | 102 (60.0%) | 37 (51.4%) | 42 (70.0%) | 23 (60.5%) | 0.094 | |
| Clinically relevant DGE | 5 (2.9%) | 4 (5.6%) | 1 (1.7%) | 0 (0.0%) | 0.200 | |
| Clinically relevant PPH | 4 (2.4%) | 3 (4.2%) | 0 (0.0%) | 1 (2.6%) | 0.288 | |
| Relaparotomy | 35 (20.6%) | 17 (23.6%) | 13 (21.7%) | 5 (13.2%) | 0.421 | |
| 30-day mortality | 6 (3.5%) | 3 (4.2%) | 2 (3.3%) | 1 (2.6%) | 0.913 | |
| 90-day mortality | 7 (4.1%) | 3 (4.2%) | 3 (5.0%) | 1 (2.6%) | 0.847 | |
| ICU stay | 2 (1–82) | 2 (1–82) | 2.5 (1–16) | 2 (1–7) | 0.773 | |
| IMC stay | 5 (1–87) | 5 (1–83) | 5 (2–87) | 5 (2–20) | 0.377 | |
| Hospital stay | 18 (2–139) | 17 (7–139) | 19 (10–104) | 17 (2–49) | 0.673 | |
Results are presented as median (range) or as n (%)
ASA: American Society of Anesthesiologists Physical Status; DGE: delayed gastric emptying; ICU: intensive care unit; IMC: intermediate care; PPH: postpancreatectomy hemorrhage
Fig. 4.
Difficulty of total pancreatectomy procedures performed in 2019–2022
Distal pancreatectomy
As shown in Table 6, median age of patients undergoing DP was 68 years (range: 35–89). Patient age did not differ significantly between the pandemic phases (P = 0.387). Gender distribution was nearly even, with 51.5% of patients being male, and there was no significant variation in gender between groups (P = 0.294). Notably, neoadjuvant chemotherapy was administered to 29.0% of patients overall, and this increased significantly to 39.1% in the late pandemic phase (P = 0.030). Besides, patients who underwent TP during the late pandemic phase received a significantly higher number of neoadjuvant therapy cycles (P = 0.002). The median operation time for DP was 235 min, and this increased slightly to 269 min in the late pandemic phase (P = 0.012). The median blood loss was 700 mL, and did not differ significantly between study periods (P = 0.778). Morbidity was observed in 37.0% of patients overall, and this increased significantly to 60.3% in the late pandemic phase (P < 0.001). The rates of postoperative DGE and PPH were both 3.0% and remained consistent across phases (DGE: P = 0.620, PPH: P = 0.271). The rate of relaparotomy was 8.2% overall and did not differ significantly between study phases (P = 0.484). The 90-day mortality rate was 1.3% overall, with significantly highest rate of 4.7% in the late pandemic phase (P = 0.019). The median ICU stays was 2 days, and increased slightly during the late pandemic phase (P = 0.032). The length of hospital stay also increased marginally during the late pandemic phase (median: 14.5 days, P = 0.041).
Table 6.
Characteristics of patients undergoing distal pancreatectomy for pancreatic ductal adenocarcinoma in 2019–2022
| Total (N = 231) | Time | P value | ||||
|---|---|---|---|---|---|---|
| Pre-pandemic phase (N = 65) | Early pandemic phase (N = 102) | Late pandemic phase (N = 64) | ||||
| Age | 68 (35–89) | 65 (37–87) | 72 (35–84) | 68 (43–89) | 0.387 | |
| Gender | Male | 118 (51.1%) | 30 (46.2%) | 58 (56.9%) | 30 (46.9%) | 0.294 |
| Female | 113 (48.9%) | 35 (53.8%) | 44 (43.1%) | 34 (53.1%) | ||
| ASA | I | 25 (10.8%) | 6 (9.2%) | 10 (9.8%) | 9 (14.1%) | 0.852 |
| II | 109 (47.2%) | 31 (47.7%) | 47 (46.1%) | 31 (48.4%) | ||
| III | 97 (42.0%) | 28 (43.1%) | 45 (44.1%) | 24 (37.5%) | ||
| Neoadjuvant chemotherapy | 67 (29.0%) | 21 (32.3%) | 21 (20.6%) | 25 (39.1%) | 0.030 | |
| FOLFIRINOX | 58 (86.6%) | 18 (85.7%) | 19 (90.5%) | 21 (84.0%) | 0.806 | |
| Gemcitabine | 9 (13.4%) | 3 (14.3%) | 2 (9.5%) | 4 (16.0%) | ||
| Number of cycles | 8 (3–28) | 9 (3–14) | 9 (3–14) | 10 (6–28) | 0.002 | |
| Operation time (min) | 235 (117–540) | 215 (117–510) | 233 (125–510) | 269 (117–540) | 0.012 | |
| Blood loss (mL) | 700 (20–4000) | 700 (20–2700) | 700 (100–4000) | 800 (50–2800) | 0.778 | |
| Morbidity | 85 (37.0%) | 24 (36.9%) | 23 (22.5%) | 38 (60.3%) | < 0.001 | |
| Clinically relevant DGE | 7 (3.0%) | 3 (4.6%) | 2 (2.0%) | 2 (3.1%) | 0.620 | |
| Clinically relevant POPF | 17 (7.4%) | 6 (9.2%) | 3 (2.9%) | 8 (12.5%) | 0.057 | |
| Clinically relevant PPH | 7 (3.0%) | 3 (4.6%) | 1 (1.0%) | 3 (4.7%) | 0.271 | |
| Relaparotomy | 19 (8.2%) | 6 (9.2%) | 6 (5.9%) | 7 (10.9%) | 0.484 | |
| 30-day mortality | 2 (0.9%) | 0 (0.0%) | 0 (0.0%) | 2 (3.1%) | 0.072 | |
| 90-day mortality | 3 (1.3%) | 0 (0.0%) | 0 (0.0%) | 3 (4.7%) | 0.019 | |
| ICU stay | 2 (1–60) | 2 (1–24) | 1 (1–60) | 2 (1–30) | 0.032 | |
| IMC stay | 5.5 (1–56) | 5.5 (2–56) | 3 (1–17) | 5 (2–42) | 0.125 | |
| Hospital stay | 13 (7–128) | 11 (6–126) | 12 (6–101) | 14.5 (6–126) | 0.041 | |
Results are presented as median (range) or as n (%)
ASA: American Society of Anesthesiologists Physical Status; DGE: delayed gastric emptying; ICU: intensive care unit; IMC: intermediate care; POPF: postoperative pancreas fistula; PPH: postpancreatectomy hemorrhage
Discussion
Pancreatic cancer (predominantly PDAC) is the fourth leading cause of cancer-related death worldwide. Because the symptoms are non-specific, diagnosis and treatment are often delayed until surgical treatment is the only feasible approach to curing the cancer and increasing the overall survival of patients. Therefore, timely access to surgical therapy is crucial for effective, good-quality care. Unfortunately, access to surgical treatment was disrupted by the COVID-19 pandemic.
In 2020, there was a state-wide lockdown in Germany [18, 19], and the high number of patients with severe COVID-19 put excess pressure on the health care system [20, 21]. Elective surgeries were cancelled or postponed, and only emergency operations were performed [21, 22]. In tertiary surgical centers, ICU and IMC beds were restricted by the high number of patients with COVID-19-related respiratory conditions [23]. This also affected our center, which is a referral center for HPB surgery. During the lockdown, most of our intensive care services were dedicated to patients with COVID-19, which reduced our capacity to deliver postoperative care to patients undergoing elective HPB surgeries [24–27]. In the early phase of the pandemic, cancer was classified as an emergency, so treatment was not delayed. In terms of multidisciplinary management, the interdisciplinary tumor board successfully adapted to the restrictions imposed by the pandemic by initiating online sessions. This approach prevented delays in the decision-making process. However, unlike the findings by Javed et al. [28], local medical imaging facilities were impacted by the pandemic, resulting in reduced diagnostic capacity. To mitigate this, patients were encouraged to undergo diagnostic procedures at our institution, which helped minimize waiting times. An additional advantage was the improved quality of imaging achieved through standardized diagnostic protocols. Moreover, the imaging findings were reviewed preoperatively by HPB-expert radiologists and shared with the responsible surgeons, facilitating accurate and precise surgical planning. Also, we took certain measures to ensure that patients with PDAC received the timely surgical treatment they needed to increase survival. First, we prioritized candidates for up-front surgery and high-risk patients for pancreas resection. By postponing non-oncological elective operations, we were able to perform pancreas resection with oncological indications. We applied strict and rigorous SARS-CoV-2 screening to prevent in-hospital outbreaks and postponed operations if the patient had a confirmed infection. To reduce burden on postoperative care units, only patients who underwent complex surgery or had a complicated intraoperative course were admitted to the IMC and ICU. Patients with uncomplicated or standard PD and DP were transferred to normal wards after a short monitoring in the postoperative care unit. We implemented these measures from the start of lockdown until the vaccination campaign was introduced.
These measures ensured that the number of pancreas surgeries in our center, especially for patients with PDAC, did not decrease during the pandemic (Fig. 1). Indeed, the number of procedures we performed even increased by 5% during the early pandemic phase and remained steady throughout the pandemic. The low number of surgeries performed in January and April 2020 (Fig. 1) cannot necessarily be considered due to the pandemic considering the overall picture. The center management also increased the number of pancreas resections that were carried out daily to prevent further delays, which explains the peak numbers in September–December 2020. We also received referrals for pancreas resection from other centers who were overwhelmed by patients with COVID-19. Taken together, these elements increased the number of pancreas resections performed at our center during the pandemic and ensured that the waiting list for pancreas resection was not extended. Also of note, the number of patients undergone neoadjuvant chemotherapies was significantly higher in the late pandemic phase than during the early and pre-pandemic phases. This is because neoadjuvant therapy was indicated due to delayed surgery in delayed in some patients with PDAC in the early pandemic phase and then rescheduled with surgical treatment later on. The consensus on the management of pancreatic surgery during the COVID-19 pandemic recommended the use of neoadjuvant therapy for patients with non-metastatic disease, regardless of the stage of the disease [8]. However, during the study period—particularly in the early phase of the pandemic—the majority of patients presented with primarily resectable disease and underwent timely surgical resection without unnecessary delays caused by neoadjuvant therapy. This highlights the effectiveness of management adaptations implemented at a high-volume HPB center in mitigating the impact of the pandemic. Regarding neoadjuvant therapy, its duration was extended during the later phase of the pandemic. This approach aligns with the recommendations of Oba et al. [8], who advocated for prolonged neoadjuvant therapy in situations with limited healthcare resources.
Our finding that very few surgeries were postponed in our department during the pandemic and that the waiting list was not extended is in contrast to reports from the COVIDSurg Collaborative of a median 23-week delay for oncological surgeries [2]. Likewise, Marchegiani et al. reported a 20% reduction in the number of pancreas resections in 2020, particularly between March and May [29]. Their lowest number of resections was reported in April 2020, which is similar to our results. This reduction in the number of surgeries during the early phase of the pandemic should not be overlooked [30], despite our promising finding that the number of surgeries then increased and stayed constant throughout the pandemic. In agreement with our findings, Hanssen et al., also showed no significant reduction in the treatment of malignant pancreatic and periampullary tumors during the pandemic [31], with the number of operations at their center staying similar to those preceding the pandemic.
Compared to previous studies [8, 29], our adaptations during the COVID-19 pandemic not only maintained the surgical volume for pancreatic cancer surgery at our center but also avoided the unnecessary administration of neoadjuvant treatments in patients with primarily resectable tumors. Furthermore, our measures facilitated an increase in the number of pancreatic cancer surgeries through the centralization of care. This was particularly impactful at a time when less experienced centers were unable to perform surgical treatments for pancreatic cancer. We also examined the effect of the pandemic on the outcomes of pancreatic resection and found no changes in intraoperative outcomes throughout the pandemic. Significantly fewer TPs were performed during the early phase of the pandemic, but no changes in the complexity and difficulty of PD and TP were observed during the pandemic. We looked at outcomes in patients with PDAC following pancreas resection and found no significant differences in intraoperative and mortality rates before and during the pandemic, except in postoperative morbidity. Subgroup analyses revealed significantly higher rates of morbidity and mortality in patients who underwent DP during the late pandemic phase. This likely reflects locally advanced PDAC in these patients caused by delayed neoadjuvant chemotherapy, which contraindicated up-front surgery and complicated the surgical procedure. We also observed a higher rate of POPF; this might not have been correlated to the pandemic but rather to patient characteristics and complexity of the procedure. These findings suggest that our approach of prioritizing pancreas surgery with oncological indications maintained not only good surgical frequency but also good surgical quality during the challenges of the pandemic.
There are some limitations to this study. First, this was a descriptive analysis of patient outcomes in a highly specialized tertiary surgical center and the results may not be generalizable to other surgical environments. In addition, we did not evaluate the effect of neoadjuvant and adjuvant therapies or their delay on patient outcomes during the pandemic. Another limitation is that we only examined the short-term effects of the pandemic. Longer follow ups are needed to determine the long-term effects of the pandemic on oncological outcomes. Future studies should also look at the effects of the pandemic on other important aspects, such as surgical education and academic research.
In conclusion, the COVID-19 pandemic did not disrupt oncological pancreas resection at our center. Our findings show that centralizing pancreas surgery with a standardized postoperative approach can overcome the challenges of a pandemic in a high-volume and highly specialized surgical center. This approach may improve resistance to unexpected events in the future.
Acknowledgements
None.
Author contributions
MA-S conceived and designed the study. AR and EK collected and analyzed the data. SS and AW contributed to the data interpretation. GP and AM revised the manuscript critically for important intellectual content. ML supervised the study and approved the final version of the manuscript. All authors read and approved the final manuscript.
Funding
Open Access funding enabled and organized by Projekt DEAL.
Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethical approval
This study was performed in line with the principles of the Declaration of Helsinki. Approval of the study protocol was approved granted by the independent ethics committee (institutional review board) of the University of Heidelberg (approval number: S-011/2015).
Consent to participate
The ethics committee waived the requirement for informed consentconsent to participation because of the retrospective nature of the study.
Consent for publication
Not Applicable.
Disclosure of interests
Authors declare no conflict of interests.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Effect of COVID-19. Pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study. Lancet Oncol. 2021;22(11):1507–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Are C, Tyler D, Howe J, Olivares A, Nissan A, Zippel D, et al. Global Forum of Cancer surgeons: Cancer surgery during the COVID-19 pandemic: impact and lessons learned. Ann Surg Oncol. 2022;29(5):2773–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Riera R, Bagattini ÂM, Pacheco RL, Pachito DV, Roitberg F, Ilbawi A. Delays and disruptions in Cancer Health Care due to COVID-19 pandemic: systematic review. JCO Glob Oncol. 2021;7:311–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pergolini I, Demir IE, Stöss C, Emmanuel K, Rosenberg R, Friess H, et al. Effects of COVID-19 pandemic on the treatment of pancreatic Cancer: a perspective from Central Europe. Dig Surg. 2021;38(2):158–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Marchegiani G, Paiella S, Malleo G, Landoni L, Tuveri M, Esposito A, et al. Love (pancreatic surgery) in the time of Cholera (COVID-19). Dig Surg. 2020;37(6):524–6. [DOI] [PubMed] [Google Scholar]
- 7.Catton J, Banerjea A, Gregory S, Hall C, Crooks CJ, Lewis-Lloyd CA, et al. Planned surgery in the COVID-19 pandemic: a prospective cohort study from Nottingham. Langenbecks Arch Surg. 2021;406(7):2469–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Oba A, Stoop TF, Löhr M, Hackert T, Zyromski N, Nealon WH, et al. Global survey on pancreatic surgery during the COVID-19 pandemic. Ann Surg. 2020;272(2):e87–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Borges do Nascimento IJ, Cacic N, Abdulazeem HM, von Groote TC, Jayarajah U, Weerasekara I, et al. Novel coronavirus infection (COVID-19) in humans: a scoping review and Meta-analysis. J Clin Med. 2020;9(4):941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rao A, Rich NE, Marrero JA, Yopp AC, Singal AG. Diagnostic and therapeutic delays in patients with Hepatocellular Carcinoma. J Natl Compr Canc Netw. 2021;19(9):1063–71. [DOI] [PubMed] [Google Scholar]
- 11.Zangrillo A, Beretta L, Silvani P, Colombo S, Scandroglio AM, Dell’Acqua A, et al. Fast reshaping of intensive care unit facilities in a large metropolitan hospital in Milan, Italy: facing the COVID-19 pandemic emergency. Crit Care Resusc. 2020;22(2):91–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Network NCC, Pancreatic Adenocarcinoma (V. 3) 2024 [Available from: https://www.nccn.org/professionals/physician_gls/pdf/pancreatic.pdf
- 13.Mihaljevic AL, Hackert T, Loos M, Hinz U, Schneider M, Mehrabi A, et al. Not all Whipple procedures are equal: proposal for a classification of pancreatoduodenectomies. Surgery. 2021;169(6):1456–62. [DOI] [PubMed] [Google Scholar]
- 14.Loos M, Al-Saeedi M, Hinz U, Mehrabi A, Schneider M, Berchtold C, et al. Categorization of differing types of total pancreatectomy. JAMA Surg. 2022;157(2):120–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wente MN, Bassi C, Dervenis C, Fingerhut A, Gouma DJ, Izbicki JR, et al. Delayed gastric emptying (DGE) after pancreatic surgery: a suggested definition by the International Study Group of pancreatic surgery (ISGPS). Surgery. 2007;142(5):761–8. [DOI] [PubMed] [Google Scholar]
- 16.Bassi C, Marchegiani G, Dervenis C, Sarr M, Abu Hilal M, Adham M, et al. The 2016 update of the International Study Group (ISGPS) definition and grading of postoperative pancreatic fistula: 11 years after. Surgery. 2017;161(3):584–91. [DOI] [PubMed] [Google Scholar]
- 17.Wente MN, Veit JA, Bassi C, Dervenis C, Fingerhut A, Gouma DJ, et al. Postpancreatectomy hemorrhage (PPH)–An International Study Group of pancreatic surgery (ISGPS) definition. Surgery. 2007;142(1):20–5. [DOI] [PubMed] [Google Scholar]
- 18.Kovoor JG, Maddern GJ. One small step: starting a career in surgical research during COVID-19. ANZ J Surg. 2021;91(6):1059–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Blumenthal D, Fowler EJ, Abrams M, Collins SR. Covid-19 — implications for the Health Care System. N Engl J Med. 2020;383(15):1483–8. [DOI] [PubMed] [Google Scholar]
- 20.Naumann E, Möhring K, Reifenscheid M, Wenz A, Rettig T, Lehrer R, et al. COVID-19 policies in Germany and their social, political, and psychological consequences. Eur Policy Anal. 2020;6(2):191–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kapsner LA, Kampf MO, Seuchter SA, Gruendner J, Gulden C, Mate S et al. Reduced rate of Inpatient Hospital admissions in 18 German University hospitals during the COVID-19 Lockdown. Front Public Health. 2021;8. [DOI] [PMC free article] [PubMed]
- 22.Reitzle L, Schmidt C, Färber F, Huebl L, Wieler LH, Ziese T, et al. Perceived Access to Health Care Services and Relevance of Telemedicine during the COVID-19 pandemic in Germany. Int J Environ Res Public Health. 2021;18(14):7661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Diers J, Acar L, Baum P, Flemming S, Kastner C, Germer C-T, et al. Fewer operations for Cancer in Germany during the First Wave of COVID-19 in 2020–A cohort study and time-series analysis. Dtsch Arztebl Int. 2021;118(27–28):481–2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ramouz A, Fakour S, Jafari M, Khajeh E, Golriz M, Majlesara A, et al. Surgical management of primary liver cancers during the COVID-19 pandemic: overcoming the dilemma with standardization. HPB (Oxford). 2023;25(8):907–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Badrudin D, Lesurtel M, Shrikhande S, Gallagher T, Heinrich S, Warner S, et al. International Hepato-Pancreato-Billiary Association (IHPBA) registry study on COVID-19 infections in HPB surgery patients. HPB (Oxford). 2024;26(1):102–8. [DOI] [PubMed] [Google Scholar]
- 26.Balakrishnan A, Lesurtel M, Siriwardena AK, Heinrich S, Serrablo A, Besselink MGH, et al. Delivery of hepato-pancreato-biliary surgery during the COVID-19 pandemic: an european-african Hepato-Pancreato-Biliary Association (E-AHPBA) cross-sectional survey. HPB (Oxford). 2020;22(8):1128–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Hillebrandt K, Nevermann N, Globke B, Moosburner S, Schmelzle M, Pratschke J. [Impact of the COVID-19 pandemic on hepato-pancreato-biliary surgery and organ transplantation]. Chirurg. 2021;92(10):918–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Javed AA, Habib JR, Kinny-Köster B, Hodgin M, Parish L, Cunningham D, et al. The impact of the COVID-19 pandemic on multidisciplinary clinics: a high-volume pancreatic Cancer Center Experience. Curr Probl Diagn Radiol. 2022;51(5):675–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Marchegiani G, Perri G, Bianchi B, Esposito A, Landoni L, Casetti L, et al. Pancreatic surgery during COVID-19 pandemic: major activity disruption of a third-level referral center during 2020. Updates Surg. 2022;74(3):953–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Nassar A, Tzedakis S, Marchese U, Dhote A, Dallel MS, Naveendran G, et al. Impact of COVID-19 lockdowns on postoperative morbidity after hepatectomy: a propensity-score matching study on a national French database. Surgery. 2023;174(2):196–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Hansen CP, Storkholm JH, Sillesen MH, Krohn PS, Burgdorf SK, Hillingsø JG. Pancreatic surgery during the COVID-19 pandemic 2020–2021: an observational cohort study from a third level referral center. BMC Surg. 2022;22(1):200. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.




