Use of patient-reported experience and outcome measures within the colorectal cancer care continuum: a scoping review.

OBJECTIVE: Patient-reported outcome measures (PROM) are frequently adopted to evaluate colorectal cancer (CRC) care, but the use of patient-reported experience measures (PREM) appears to be underdeveloped and not widely validated. This scoping review aims to understand the contexts for deployment of PREMs in CRC care, reliability of measures, gaps in current use of PREMs, and how PREMs are associated with PROMs when deployed together. METHODS: Four scientific databases (PubMed, CINAHL, PsycINFO, Scopus) were systematically searched from January 2011 to December 2023. Observational or interventional studies involving quantitative or mixed methodology with samples consisting CRC patients undergoing screening, treatment, or cancer surveillance and utilizing at least one PREM as an exposure or outcome were included. RESULTS: The initial search resulted in 10,400 records. Only 13 relevant studies (consisting of 17,105 participants) met the eligibility criteria. Utilization of PREMs was heterogenous across our sample and the CRC care continuum, and about half of the studies (53.8%) evaluated the relationship between PREMs and PROMs. PREM usage across the CRC care continuum largely focused on treatment/survivorship. Better care experience was positively associated with improved patient-reported outcomes. CONCLUSIONS: Future work in CRC PREM development should focus on (1) establishing validated measures that aim to either capture disease/treatment-specific granularity or capitalize on applicability across care settings, (2) localizing novel or existing PREMs to consider different cultural contexts in healthcare, and (3) benchmarking associations between PREMs, PROMs, and other outcomes of interest. IMPLICATIONS FOR CANCER SURVIVORS: Individuals progressing through the CRC care continuum often undergo a multitude of procedures from detection and diagnosis to treatment and surveillance. The establishment of validated PREMs specific to CRC would help to benchmark and further improve the quality of care received-which should translate to better patient-reported outcomes-and serve as process indicators for institutions and providers to maintain rigorous health service delivery standard for CRC survivors.

Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptance.

The primary goal of this study is to examine the association between vaccine rhetoric on Twitter and the public's uptake rates of COVID-19 vaccines in the United States, compared to the extent of an association between self-reported vaccine acceptance and the CDC's uptake rates. We downloaded vaccine-related posts on Twitter in real-time daily for 13 months, from October 2021 to September 2022, collecting over half a billion tweets. A previously validated deep-learning algorithm was then applied to (1) filter out irrelevant tweets and (2) group the remaining relevant tweets into pro-, anti-, and neutral vaccine sentiments. Our results indicate that the tweet counts (combining all three sentiments) were significantly correlated with the uptake rates of all stages of COVID-19 shots (p < 0.01). The self-reported level of vaccine acceptance was not correlated with any of the stages of COVID-19 shots (p > 0.05) but with the daily new infection counts. These results suggest that although social media posts on vaccines may not represent the public's opinions, they are aligned with the public's behaviors of accepting vaccines, which is an essential step for developing interventions to increase the uptake rates. In contrast, self-reported vaccine acceptance represents the public's opinions, but these were not correlated with the behaviors of accepting vaccines. These outcomes provide empirical support for the validity of social media analytics for gauging the public's vaccination behaviors and understanding a nuanced perspective of the public's vaccine sentiment for health emergencies.

ProteoMixture: A cell type deconvolution tool for bulk tissue proteomic data.

Numerous multi-omic investigations of cancer tissue have documented varying and poor pairwise transcript:protein quantitative correlations, and most deconvolution tools aiming to predict cell type proportions (cell admixture) have been developed and credentialed using transcript-level data alone. To estimate cell admixture using protein abundance data, we analyzed proteome and transcriptome data generated from contrived admixtures of tumor, stroma, and immune cell models or those selectively harvested from the tissue microenvironment by laser microdissection from high grade serous ovarian cancer (HGSOC) tumors. Co-quantified transcripts and proteins performed similarly to estimate stroma and immune cell admixture (r ≥ 0.63) in two commonly used deconvolution algorithms, ESTIMATE or ConsensusTME. We further developed and optimized protein-based signatures estimating cell admixture proportions and benchmarked these using bulk tumor proteomic data from over 150 patients with HGSOC. The optimized protein signatures supporting cell type proportion estimates from bulk tissue proteomic data are available at https://lmdomics.org/ProteoMixture/.

Proteogenomic analysis of enriched HGSOC tumor epithelium identifies prognostic signatures and therapeutic vulnerabilities.

We performed a deep proteogenomic analysis of bulk tumor and laser microdissection enriched tumor cell populations from high-grade serous ovarian cancer (HGSOC) tissue specimens spanning a broad spectrum of purity. We identified patients with longer progression-free survival had increased immune-related signatures and validated proteins correlating with tumor-infiltrating lymphocytes in 65 tumors from an independent cohort of HGSOC patients, as well as with overall survival in an additional 126 HGSOC patient cohort. We identified that homologous recombination deficient (HRD) tumors are enriched in pathways associated with metabolism and oxidative phosphorylation that we validated in independent patient cohorts. We further identified that polycomb complex protein BMI-1 is elevated in HR proficient (HRP) tumors, that elevated BMI-1 correlates with poor overall survival in HRP but not HRD HGSOC patients, and that HRP HGSOC cells are uniquely sensitive to BMI-1 inhibition.

Case report: From palliative to potentially curative - the advent of immunotherapy providing hope to advanced gallbladder adenocarcinoma.

Introduction: Biliary tract cancers (BTC) are often diagnosed at an advanced stage where prognosis is poor and curative-intent surgery is infeasible. First-line cisplatin-gemcitabine chemotherapy for advanced gallbladder cancer has remained unchanged over more than a decade, but recent developments in immunotherapy such as durvalumab have highlighted promise as a combination treatment regime with current standard chemotherapy. Methods: In this case description, we present a case of locally-advanced gallbladder adenocarcinoma involving the biliary confluence that was initially planned for an extended right hepatectomy after portal vein embolization. Interval imaging revealed peritoneal metastasis, which was confirmed on diagnostic laparoscopy and biopsy. The patient underwent 8 cycles of cisplatin 25 mg/m2 and gemcitabine 1,000 mg/m2 chemotherapy on days 1 and 8 of each 21-day cycle, with durvalumab (Imfinzi®) 1,500 mg immunotherapy on day 1 of every cycle, in accordance with the treatment protocol of the TOPAZ-1 trial. Repeat imaging demonstrated a stable primary lesion with no further evidence of peritoneal disease. The patient subsequently underwent curative-intent conversion surgery with an extended right hepatectomy and Roux-en-Y hepaticojejunostomy, which were completed through a fully minimally-invasive laparoscopic approach. Results: Final pathological TNM classification was ypT1aN0, with near-complete pathological response to pre-surgical therapy, uninvolved margins (R0 resection) and tumour shrinkage from 2.5 centimetres on pre-operative cross-sectional imaging to 0.5 centimetres on final histology. The patient had an uneventful post-operative course, and was fit for discharge by the fourth post-operative day. He remained well after three months of routine post-operative follow-up, with no significant post-operative complications and biochemical or radiological evidence of disease recurrence. Conclusion: Our case description highlights the immense potential of combination durvalumab immunotherapy with cisplatin-gemcitabine chemotherapy in the treatment of advanced gallbladder adenocarcinoma. The patient's locally advanced disease was initially planned for complex open surgery, prior to discovery of peritoneal metastasis rendering it inoperable. This was successfully down-staged with combination therapy to eventual R0 resection via minimally-invasive surgery. In addition, this case description demonstrates the feasibility of a fully laparoscopic approach with postulated benefits of diagnostic re-evaluation of peritoneal disease, reduced wound pain and shorter length of hospital stay.

Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling.

BACKGROUND: Although uterine serous carcinoma (USC) represents a small proportion of all uterine cancer cases, patients with this aggressive subtype typically have high rates of chemotherapy resistance and disease recurrence that collectively result in a disproportionately high death rate. The goal of this study was to provide a deeper view of the tumor microenvironment of this poorly characterized uterine cancer variant through multi-region microsampling and quantitative proteomics. METHODS: Tumor epithelium, tumor-involved stroma, and whole "bulk" tissue were harvested by laser microdissection (LMD) from spatially resolved levels from nine USC patient tumor specimens and underwent proteomic analysis by mass spectrometry and reverse phase protein arrays, as well as transcriptomic analysis by RNA-sequencing for one patient's tumor. RESULTS: LMD enriched cell subpopulations demonstrated varying degrees of relatedness, indicating substantial intratumor heterogeneity emphasizing the necessity for enrichment of cellular subpopulations prior to molecular analysis. Known prognostic biomarkers were quantified with stable levels in both LMD enriched tumor and stroma, which were shown to be highly variable in bulk tissue. These USC data were further used in a comparative analysis with a data generated from another serous gynecologic malignancy, high grade serous ovarian carcinoma, and have been added to our publicly available data analysis tool, the Heterogeneity Analysis Portal ( https://lmdomics.org/ ). CONCLUSIONS: Here we identified extensive three-dimensional heterogeneity within the USC tumor microenvironment, with disease-relevant biomarkers present in both the tumor and the stroma. These data underscore the critical need for upfront enrichment of cellular subpopulations from tissue specimens for spatial proteogenomic analysis.

Laser-Assisted Minimally Invasive Nonsurgical Therapy in Treating Severely Periodontally Compromised Teeth: A Case Series.

Minimally invasive nonsurgical treatment (MINST) aims to remove an etiology with minimal damage to the healthy periodontium and provide the ideal healing environment. This case series introduces the novel protocol of laser-assisted MINST (LAMINST), combining minimally invasive surgery with a dental laser. A total of 25 patients (32 teeth) with advanced periodontal disease were enrolled and received periodontal treatment by following the LAMINST protocol. Probing depth (PD), recession, clinical attachment level (CAL), bleeding on probing (BOP), plaque presence, and site mobility were evaluated preoperatively and at 6 months. Based on the periodontal evaluations, all cases were diagnosed as stage III grade C periodontitis. Six months after LAMINST, the average PD reduction was 4.44 mm and CAL improved by 4.38 mm. Baseline mobility scores of 1 (6 teeth), 2 (9 teeth), and 3 (3 teeth) decreased to 1 (5 teeth) or 0 (13 teeth). The initial prognoses of 5 (hopeless; 15 teeth), 4 (questionable; 13 teeth), and 3 (poor; 4 teeth), improved to 4 (5 teeth), 3 (12 teeth), 2 (fair; 13 teeth), and 1 (good; 2 teeth). The number of BOP sites reduced from 179 to 12, and the number of plaque sites reduced from 173 to 9. All clinical parameters were improved after LAMINST. The application of LAMINST may overcome the traditional limitations of nonsurgical treatment, such as poor accessibility.

Late-onset cytomegalovirus cholangiopathy in a renal transplant patient: Case report and review of the literature.

This case report highlights the investigation and treatment of a 70-year-old male with cytomegalovirus (CMV) cholangiopathy. The patient underwent a kidney transplant in 2016 and presented 3 years later with the atypical presentation of left shoulder pain associated with dilated biliary tree and mild transaminitis. Initial endoscopic retrograde cholangiopancreatography (ERCP) showed diffuse stricture of the common bile duct, requiring stenting, and over the course of a year multiple stent changes were required to prevent cholestasis. CMV polymerase chain reaction (PCR) tests were conducted on bile duct brushings and found to be positive. Oral valganciclovir was given for 6 weeks but the strictures did not resolve. He underwent a laparoscopic total choledochectomy and hepaticojejunostomy as definitive treatment. CMV involvement of the biliary tract has rarely been reported in kidney transplant patients. Antiviral therapy in the form of ganciclovir or valganciclovir is often sufficient to eradicate CMV infection and improve clinical disease. Surgical management should be considered only if the patient has failed medical therapy, or if there is suspicion of malignancy. This case shows that in renal transplant patients presenting with cholangiopathy, CMV disease should be considered as a possible differential even in patients without early CMV infection or with prior CMV prophylaxis.

Brain proteomic atlas of alcohol use disorder in adult males.

Alcohol use disorder (AUD) affects transcriptomic, epigenetic and proteomic expression in several organs, including the brain. There has not been a comprehensive analysis of altered protein abundance focusing on the multiple brain regions that undergo neuroadaptations occurring in AUD. We performed a quantitative proteomic analysis using a liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of human postmortem tissue from brain regions that play key roles in the development and maintenance of AUD, the amygdala (AMG), hippocampus (HIPP), hypothalamus (HYP), nucleus accumbens (NAc), prefrontal cortex (PFC) and ventral tegmental area (VTA). Brain tissues were from adult males with AUD (n = 11) and matched controls (n = 16). Across the two groups, there were >6000 proteins quantified with differential protein abundance in AUD compared to controls in each of the six brain regions. The region with the greatest number of differentially expressed proteins was the AMG, followed by the HYP. Pathways associated with differentially expressed proteins between groups (fold change > 1.5 and LIMMA p < 0.01) were analyzed by Ingenuity Pathway Analysis (IPA). In the AMG, adrenergic, opioid, oxytocin, GABA receptor and cytokine pathways were among the most enriched. In the HYP, dopaminergic signaling pathways were the most enriched. Proteins with differential abundance in AUD highlight potential therapeutic targets such as oxytocin, CSNK1D (PF-670462), GABAB receptor and opioid receptors and may lead to the identification of other potential targets. These results improve our understanding of the molecular alterations of AUD across brain regions that are associated with the development and maintenance of AUD. Proteomic data from this study is publicly available at www.lmdomics.org/AUDBrainProteomeAtlas/ .

Robotic approach for perihilar cholangiocarcinoma: from Bismuth 1 to vascular resection.

BACKGROUND: Implementation of minimally invasive surgical approaches for perihilar cholangiocarcinoma (pCCA) has been relatively slow compared to other indications. This is due to the complexity of the disease and the need of advanced skills for the reconstructive phase. The robot may contribute to close the gap between open and minimally invasive surgery in patients with Klastkin tumors. STUDY DESIGN: We report details of our experience with robotic approach in patients affected by pCCA. In particular selection criteria, ERAS management, technical tips and robotic setup are discussed. Finally, results from our cohort are reported. A video clip of a patient that underwent left hepatectomy with en-bloc caudatectomy and portal vein resection at the confluence with end-to-end reconstruction for a pCCA 3-b according to Bismuth-Corlette classification with full robotic approach is enclosed. RESULTS: Fourteen patients underwent robotic resection of pCCA over the three-year interval with a median follow-up interval of 18.7 months. The pre-operative Bismuth-Corlette classification was 1 for two patients (14.2%) and 2 for one patient (7.1%), 3-a for three (21.4%) patients, 3-b for four (28.6%) patients and 4 for four (28.6%) patients. Median estimated blood loss was 150 ml (range 50-800 ml) and median operative time was 490 min (range 390-750 min). The median length of hospital stay after the index operation was 6 days (range 3-91). Final histology revealed a median of 19 (range 11-40) lymph nodes retrieved, with 92.9% R0 resections. 90-days mortality was nihil and 3-year survival exceeds 50%. CONCLUSION: With adequate preparation, outcomes of robotic approach to pCCA can be safe and in line with the current international benchmark outcomes, as showed in this study, when performed in expert high volume centers for complex major hepatectomy and robotic HPB.

Early vs late drain removal after pancreatic resection-a systematic review and meta-analysis.

BACKGROUND: Reducing clinically relevant post-operative pancreatic fistula (CR-POPF) incidence after pancreatic resections has been a topic of great academic interest. Optimizing post-operative drain management is a potential strategy in reducing this major complication. METHODS: Studies involving pancreatic resections, including both pancreaticoduodenectomy (PD) and distal pancreatic resections (DP), with intra-operative drain placement were screened. Early drain removal was defined as removal before or on the 3rd post-operative day (POD) while late drain removal was defined as after the 3rd POD. The primary outcome was CR-POPF, International Study Group of Pancreatic Surgery (ISGPS) Grade B and above. Secondary outcomes were all complications, severe complications, post-operative haemorrhage, intra-abdominal infections, delayed gastric emptying, reoperation, length of stay, readmission, and mortality. RESULTS: Nine studies met the inclusion criteria and were included for analysis. The studies had a total of 8574 patients, comprising 1946 in the early removal group and 6628 in the late removal group. Early drain removal was associated with a significantly lower risk of CR-POPF (OR: 0.24, p < 0.01). Significant reduction in risk of post-operative haemorrhage (OR: 0.55, p < 0.01), intra-abdominal infection (OR: 0.35, p < 0.01), re-admission (OR: 0.63, p < 0.01), re-operation (OR: 0.70, p = 0.03), presence of any complications (OR: 0.46, p < 0.01), and reduced length of stay (SMD: -0.75, p < 0.01) in the early removal group was also observed. CONCLUSION: Early drain removal is associated with significant reductions in incidence of CR-POPF and other post-operative complications. Further prospective randomised trials in this area are recommended to validate these findings.

Metronomic dosing of ovarian cancer cells with the ATR inhibitor AZD6738 leads to loss of CDC25A expression and resistance to ATRi treatment.

OBJECTIVE: ATR kinase inhibitors promote cell killing by inducing replication stress and through potentiation of genotoxic agents in gynecologic cancer cells. To explore mechanisms of acquired resistance to ATRi in ovarian cancer, we characterized ATRi-resistant ovarian cancer cells generated by metronomic dosing with the clinical ATR inhibitor AZD6738. METHODS: ATRi-resistant ovarian cancer cells (OVCAR3 and OV90) were generated by dosing with AZD6738 and assessed for sensitivity to Chk1i (LY2603618), PARPi (Olaparib) and combination with cisplatin or a CDK4/6 inhibitor (Palbociclib). Models were characterized by diverse methods including silencing CDC25A in OV90 cells and assessing impact on ATRi response. Serum proteomic analysis of ATRi-resistant OV90 xenografts was performed to identify circulating biomarker candidates of ATRi-resistance. RESULTS: AZD6738-resistant cell lines are refractory to LY2603618, but not to Olaparib or combinations with cisplatin. Cell cycle analyses showed ATRi-resistant cells exhibit G1/S arrest following AZD6738 treatment. Accordingly, combination with Palbociclib confers resistance to AZD6738. AZD6738-resistant cells exhibit altered abundances of G1/S phase regulatory proteins, including loss of CDC25A in AZD6738-resistant OV90 cells. Silencing of CDC25A in OV90 cells confers resistance to AZD6738. Serum proteomics from AZD6738-resistant OV90 xenografts identified Vitamin D-Binding Protein (GC), Apolipoprotein E (APOE) and A1 (APOA1) as significantly elevated in AZD6738-resistant backgrounds. CONCLUSIONS: We show that metronomic dosing of ovarian cancer cells with AZD6738 results in resistance to ATR/ Chk1 inhibitors, that loss of CDC25A expression represents a mechanism of resistance to ATRi treatment in ovarian cancer cells and identify several circulating biomarker candidates of CDC25A low, AZD6738-resistant ovarian cancer cells.

Liver transplantation for iatrogenic injuries secondary to cholecystectomy: a systematic review.

INTRODUCTION: Iatrogenic injury to the liver hilum during cholecystectomy is a severe surgical complication, with liver transplantation (LT) as the final drastic solution. The authors report the experience of our center and conduct a review of the literature on the outcomes of LT performed in this setting. METHODS: Data sources included MEDLINE, EMBASE, and CENTRAL from inception to 19 June 2022. Studies reporting on patients treated with LT for liver hilar injuries following cholecystectomy were included. Incidence, clinical outcomes, and survival data were synthesized through a narrative review. RESULTS: Twenty-seven articles were identified, including 213 patients. Eleven (40.7%) articles highlighted deaths within 90-days post-LT. Post-LT mortality was reported in 28 (13.1%) patients. Severe complications (≥Clavien III) occurred in at least 25.8% ( n =55) of patients. Within larger cohorts, 1-year overall survival (OS) was 76.5-84.3%, and 5-year OS was 67.2-83.0%. The authors also highlight our own experience managing 14 patients with liver hilar injury secondary to cholecystectomy, of which two required LT. CONCLUSION: While short-term morbidity and mortality is significant, available long-term data suggests reasonable OS in these patients following LT. Future studies are necessary to better understand the relationship between different types of liver hilar injury, transplant indication, and outcomes of LT in this setting.

Preoperative Quality of Life and Mental Health Can Predict Postoperative Outcomes and Quality of Life after Colorectal Cancer Surgery.

Background and Objectives: It remains unclear which domains of preoperative health-related quality of life (HRQOL) and mental health are predictive of postoperative clinical and patient-reported outcomes in colorectal cancer (CRC) patients. Materials and Methods: A prospective cohort of 78 CRC patients undergoing elective curative surgery was recruited. The EORTC QLQ-C30 and HADS questionnaires were administered preoperatively and one month after surgery. Results: Preoperative cognitive functioning scores (95% CI 0.131-1.158, p = 0.015) and low anterior resection (95% CI 14.861-63.260, p = 0.002) independently predicted poorer 1-month postoperative global QOL. When postoperative complications were represented using the comprehensive complication index (CCI), poorer preoperative physical function scores were associated with higher CCI scores (B = -0.277, p = 0.014). Preoperative social function score (OR = 0.925, 95% CI 0.87 to 0.99; p = 0.019) was an independent predictor for 30-day readmission, while physical functioning score (OR = -0.620, 95% CI -1.073--0.167, p = 0.008) was inversely related to the length of hospitalization. The overall regressions for 1-month postoperative global QOL (R2: 0.546, F: 1.961, p = 0.023) and 30-day readmission (R2: 0.322, χ2: 13.129, p < 0.001) were statistically significant. Conclusions: Various QLQ-C30 domains were found to be predictive of postoperative outcomes, including complications, readmission, and length of hospitalization. Preoperative cognitive dysfunction and low AR were independent predictors of poorer postoperative global QOL. Future research should seek to examine the efficacy of targeting specific baseline QOL domains in improving clinical as well as patient-reported outcomes after CRC surgery.

Adaptive Resilient Neural Control of Uncertain Time-Delay Nonlinear CPSs with Full-State Constraints under Deception Attacks.

This paper focuses on the adaptive control problem of a class of uncertain time-delay nonlinear cyber-physical systems (CPSs) with both unknown time-varying deception attacks and full-state constraints. Since the sensors are disturbed by external deception attacks making the system state variables unknown, this paper first establishes a new backstepping control strategy based on compromised variables and uses dynamic surface techniques to solve the disadvantages of the huge computational effort of the backstepping technique, and then establishes attack compensators to mitigate the impact of unknown attack signals on the control performance. Second, the barrier Lyapunov function (BLF) is introduced to restrict the state variables. In addition, the unknown nonlinear terms of the system are approximated using radial basis function (RBF) neural networks, and the Lyapunov-Krasovskii function (LKF) is introduced to eliminate the influence of the unknown time-delay terms. Finally, an adaptive resilient controller is designed to ensure that the system state variables converge and satisfy the predefined state constraints, all signals of the closed-loop system are semi-globally uniformly ultimately bounded under the premise that the error variables converge to an adjustable neighborhood of origin. The numerical simulation experiments verify the validity of the theoretical results.

Safely Implementing a Program of Pure Laparoscopic Donor Right Hepatectomy: The Experience From a Southeast Asian Center.

Laparoscopic donor right hepatectomy (LDRH) is a technically challenging procedure. There is increasing evidence demonstrating the safety of LDRH in high-volume expert centers. We report our center's experience in implementing an LDRH program in a small- to medium-sized transplantation program. Methods: Our center systematically introduced a laparoscopic hepatectomy program in 2006. We started with minor wedge resections followed by major hepatectomies with increasing complexities. In 2017, we performed our first laparoscopic living donor left lateral sectionectomy. Since 2018, we have performed 8 cases of right lobe living donor hepatectomy (laparoscopy-assisted: 4 and pure laparoscopic: 4). Results: The median operative time was 418 (298-540) min, whereas the median blood loss was 300 (150-900) mL. Two patients (25%) had surgical drain placed intraoperatively. The median length of stay was 5 (3-8) d, and the median time to return to work was 55 (24-90) d. None of the donors sustained any long-term morbidity or mortality. Conclusions: Small- to medium-sized transplant programs face unique challenges in adopting LDRH. Progressive introduction of complex laparoscopic surgery, a mature living donor liver transplantation program, appropriate patient selection, and the invitation of an expert to proctor the LDRH are necessary to ensure success.

Dynamic event-triggered controller design for nonlinear systems: Reinforcement learning strategy.

The current investigation aims at the optimal control problem for discrete-time nonstrict-feedback nonlinear systems by invoking the reinforcement learning-based backstepping technique and neural networks. The dynamic-event-triggered control strategy introduced in this paper can alleviate the communication frequency between the actuator and controller. Based on the reinforcement learning strategy, actor-critic neural networks are employed to implement the n-order backstepping framework. Then, a neural network weight-updated algorithm is developed to minimize the computational burden and avoid the local optimal problem. Furthermore, a novel dynamic-event-triggered strategy is introduced, which can remarkably outperform the previously studied static-event-triggered strategy. Moreover, combined with the Lyapunov stability theory, all signals in the closed-loop system are strictly proven to be semiglobal uniformly ultimately bounded. Finally, the practicality of the offered control algorithms is further elucidated by the numerical simulation examples.

Insights from an Exploratory Retrospective Cohort Study: Are Face-to-Face Follow-Up Consultations after Colonoscopy a Thing of the Past?

BACKGROUND: Colonoscopy is a commonly performed procedure, but most patients will not actually be found with colorectal cancer. Subsequent face-to-face consultations to explain post-colonoscopy findings are common despite the time and cost-saving benefits of teleconsultation, especially in a post-COVID-19 era. This exploratory retrospective study examined the proportion of post-colonoscopy follow-up consultations that could have been converted to teleconsultation within a tertiary hospital in Singapore. METHODS: A retrospective cohort of all patients who underwent colonoscopy in the institution from July to September 2019 was identified. All follow-up face-to-face consultations related to the index colonoscopy from the scope date to 6 months post-colonoscopy were traced. Clinical data relevant to the index colonoscopy and these consultations were extracted from electronic medical records. RESULTS: The cohort consisted of 859 patients (68.5% male, age range: 18-96 years). Of these, 15 (1.7%) had colorectal cancer, but the majority (n = 643, 74.9%) were scheduled for at least one post-colonoscopy visit - a total of 884 face-to-face clinical visits. The final sample was 682 (77.1%) face-to-face post-colonoscopy visits that did not involve any procedures performed or indicated the need for any subsequent follow-up. CONCLUSION: If such "unnecessary" post-colonoscopy consultations exist within our institution, then similar situations possibly occur elsewhere. As COVID-19 continues to periodically tax healthcare systems worldwide, preservation of resources will remain integral alongside quality standards of routine patient care. There is a need for detailed analyses and modeling to hypothesize potential savings by also considering the start-up and maintenance costs of switching to a teleconsultation-dominated system.

Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event.

In recent years, Coronavirus disease 2019 (COVID-19) has become a global epidemic, and some efforts have been devoted to tracking and controlling its spread. Extracting structured knowledge from involved epidemic case reports can inform the surveillance system, which is important for controlling the spread of outbreaks. Therefore, in this paper, we focus on the task of Chinese epidemic event extraction (EE), which is defined as the detection of epidemic-related events and corresponding arguments in the texts of epidemic case reports. To facilitate the research of this task, we first define the epidemic-related event types and argument roles. Then we manually annotate a Chinese COVID-19 epidemic dataset, named COVID-19 Case Report (CCR). We also propose a novel hierarchical EE architecture, named multi-model fusion-based hierarchical event extraction (MFHEE). In MFHEE, we introduce a multi-model fusion strategy to tackle the issue of recognition bias of previous EE models. The experimental results on CCR dataset show that our method can effectively extract epidemic events and outperforms other baselines on this dataset. The comparative experiments results on other generic datasets show that our method has good scalability and portability. The ablation studies also show that the proposed hierarchical structure and multi-model fusion strategy contribute to the precision of our model. Supplementary Information: The online version contains supplementary material available at 10.1007/s41019-022-00203-6.