The pan - COVID - AGICT study. The impact of COVID-19 pandemic on surgically treated pancreatic cancer patients. A multicentric Italian study.

BACKGROUND: In this article we aimed to perform a subgroup analysis using data from the COVID-AGICT study, to investigate the perioperative outcomes of patients undergoing surgery for pancreatic cancers (PC) during the COVID-19 pandemic. METHODS: The primary endpoint of the study was to find out any difference in the tumoral stage of surgically treated PC patients between 2019 and 2020. Surgical and oncological outcomes of the entire cohort of patients were also appraised dividing the entire peri-pandemic period into six three-month timeframes to balance out the comparison between 2019 and 2020. RESULTS: Overall, a total of 1815 patients were surgically treated during 2019 and 2020 in 14 Italian surgical Units. In 2020, the rate of patients treated with an advanced pathological stage was not different compared to 2019 (p = 0.846). During the pandemic, neoadjuvant chemotherapy (NCT) has dropped significantly (6.2% vs 21.4%, p < 0.001) and, for patients who didn't undergo NCT, the latency between diagnosis and surgery was shortened (49.58 ± 37 days vs 77.40 ± 83 days, p < 0.001). During 2020 there was a significant increase in minimally invasive procedures (p < 0.001). The rate of postoperative complication was the same in the two years but during 2020 there was an increase of the medical ones (19% vs 16.1%, p = 0.001). CONCLUSIONS: The post-pandemic dramatic modifications in healthcare provision, in Italy, did not significantly impair the clinical history of PC patients receiving surgical resection. The present study is one of the largest reports available on the argument and may provide the basis for long-term analyses.

Association between patient activation and delayed discharge in elective laparoscopic cholecystectomy: A prospective cohort analysis.

BACKGROUND: Improving patient activation may be an effective way to reduce healthcare costs and improve patient outcomes after surgery. OBJECTIVE: To determine whether preoperative patient activation is associated with delayed discharge (i.e., length of stay >24 h) after elective laparoscopic cholecystectomy. Postoperative symptoms, unscheduled access to healthcare facilities within seven days of surgery, unplanned hospital readmissions, and postoperative complications were analyzed as secondary outcomes. DESIGN: This cohort study was a secondary analysis of the DeDiLaCo study (Delayed Discharge after day-surgery Laparoscopic Cholecystectomy) collecting data of patients undergoing elective laparoscopic cholecystectomy during 2021 in Italy. Data was analyzed from June 2022 to April 2023. SETTING: 90 Italian surgical centers participating in the study. PARTICIPANTS: 4708 adult patients with an instrumental diagnosis of gallbladder disease and undergoing laparoscopic cholecystectomy. Patient activation was assessed using the Italian translation of Patient Activation Measure in the preoperative setting. RESULTS: Of 4532 cases analyzed the median (IQR) Patient Activation Measure score was 80.3 (71.2-92.3). Participants were on average 55.5 years of age and 58.1 % were female. Two groups based on the activation level were created: 270 (6 %) had low activation, and 4262 had high activation. The low activation level was associated with the likelihood of delayed discharge (odds ratio [OR] 1.47, 95 % CI, 1.11-1.95; P = .008), higher symptom burden (OR 1.99, 95 % CI 1.49-2.66, P < .0001), and unplanned healthcare utilization within seven days after hospital discharge (OR 1.85, 95 % CI, 1.29-2.63; P = .001). There was no difference between the high and low activation groups in the incidence of postoperative complications (OR 1.28, 95 % CI, 0.95-1.73; P = .10) and hospital readmission after discharge (OR 0.95, 95 % CI, 0.30-3.05; P = .93). CONCLUSIONS: Our results suggest that patients with low activation have 1.47 times the risk of delayed discharge compared with patients with higher activation, almost twice the risk of the onset of postoperative symptoms, and 1.85 times the risk of unscheduled use of hospital services. Screening for patient activation in the preoperative setting could not only identify patients not suitable for early discharge, but more importantly, help physicians and nurses develop tailored interventions.