Clinical Algorithm Research Articles

Implementing Screening for Neonatal Delirium in the Neonatal Intensive Care Unit: A Quality Improvement Initiative.

Delirium is not commonly diagnosed in neonatal intensive care units and can adversely impact patient outcomes in the ICU setting. Recognition of delirium in the NICU is a necessary first step to address the potential impact on neonatal outcomes. We conducted a quality improvement initiative implementing screening for neonatal delirium. We aimed to increase screening in NICU patients from 0% to 85% by March 2022. Interdisciplinary meetings were held with key stakeholders to develop a clinical algorithm. We used standardized tools for delirium screening. Our process measures included weekly nursing compliance with Richmond Agitation Sedation Scale/Cornell Assessment of Pediatric Delirium/ scoring documentation (Fig. 1) and patients referred to psychiatry. Outcome measures included the percentage of patients screened for delirium before discharge. We conducted Plan-Do-Study Act cycles to optimize the screening process in the electronic medical record (EMR). This included creating an order set, documentation flowsheets, and prompts in the EMR for patients. After initial implementation, we achieved an average weekly screening compliance of 76% (Fig. 1). Inclusion criteria expansion resulted in a downward compliance shift to 59%. Subsequently, the addition of the EMR checklist resulted in a center-line shift to a sustained average weekly screening compliance of 77%. An average of 82% of all eligible NICU patients received delirium screening before discharge (Fig. 2). Using quality improvement methodology, there was increased screening and recognition of delirium in our NICU. Future research efforts could focus on assessing preventive measures and the impact of neonatal delirium on patient outcomes.

Assessing the need for coronary angiography in high-risk acute coronary syndrome patients using artificial intelligence and computed tomography

Abstract Background/Introduction The use of coronary computed tomography angiography (CCTA) in managing high-risk acute coronary syndrome (ACS) patients is increasingly common. Yet, its role remains unvalidated in this context, posing challenges to traditional clinical decision-making algorithms. Physicians, accustomed to a hierarchical and structured approach involving symptom assessment, electrocardiograms, and biomarkers for deciding on the necessity of invasive coronary angiography (ICA), now face dilemmas when CCTA results challenge established diagnostic pathways and contradict clinical decisions based on usual criteria. Meanwhile, the potential of artificial intelligence (AI) which processes information in a way fundamentally different from human clinical reasoning, has been shown to aid decision-making in cardiovascular medicine. Yet, it has not been tested in this acute setting. Purpose This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for ICA in high-risk ACS patients based on both standard clinical data and CCTA findings. Methods This investigation is a sub-study of a larger research project where high-risk ACS patients (all having a theoretical guideline-based indication for ICA) underwent CCTA prior to ICA. ChatGPT analyzed clinical vignettes containing patient data, electrocardiograms, troponin levels, and CCTA results to determine the necessity of ICA. The AI's recommendations were then compared to actual ICA findings to assess its decision-making accuracy. Results Among 86 patients with a clear indication for ICA, ChatGPT recommended against it for 19 patients, 16 of whom indeed had no significant findings at ICA (Figure). For 67 patients, ChatGPT advised proceeding with ICA, and a significant lesion was confirmed in 58 of them. Consequently, ChatGPT's overall accuracy stood at 86%, with a sensitivity of 95% and a specificity of 64%. The model's negative predictive value was 84%, and its positive predictive value was 87%. Conclusion These preliminary data suggest that ChatGPT can effectively assist in guiding the need for ICA among high-risk ACS patients, potentially reducing unnecessary procedures but further clinical studies to refine AI's role in clinical decision-making are required.ChatGPT's decision as per ICA's results

The Challenge of Treating Infections Caused by Metallo-β-Lactamase-Producing Gram-Negative Bacteria: A Narrative Review.

Gram-negative multidrug-resistant (MDR) bacteria, including Enterobacterales, Acinetobacter baumannii, and Pseudomonas aeruginosa, pose a significant challenge in clinical practice. Infections caused by metallo-β-lactamase (MBL)-producing Gram-negative organisms, in particular, require careful consideration due to their complexity and varied prevalence, given that the microbiological diagnosis of these pathogens is intricate and compounded by challenges in assessing the efficacy of anti-MBL antimicrobials. We discuss both established and new approaches in the treatment of MBL-producing Gram-negative infections, focusing on 3 strategies: colistin; the recently approved combination of aztreonam with avibactam (or with ceftazidime/avibactam); and cefiderocol. Despite its significant activity against various Gram-negative pathogens, the efficacy of colistin is limited by resistance mechanisms, while nephrotoxicity and acute renal injury call for careful dosing and monitoring in clinical practice. Aztreonam combined with avibactam (or with avibactam/ceftazidime if aztreonam plus avibactam is not available) exhibits potent activity against MBL-producing Gram-negative pathogens. Cefiderocol in monotherapy is effective against a wide range of multidrug-resistant organisms, including MBL producers, and favorable clinical outcomes have been observed in various clinical trials and case series. After examining scientific evidence in the management of infections caused by MBL-producing Gram-negative bacteria, we have developed a comprehensive clinical algorithm to guide therapeutic decision making. We recommend reserving colistin as a last-resort option for MDR Gram-negative infections. Cefiderocol and aztreonam/avibactam represent favorable options against MBL-producing pathogens. In the case of P. aeruginosa with MBL-producing enzymes and with difficult-to-treat resistance, cefiderocol is the preferred option. Further research is needed to optimize treatment strategies and minimize resistance.

Adult emergency resuscitative thoracotomy: A Western Trauma Association clinical decisions algorithm.

Adult emergency resuscitative thoracotomy: A Western Trauma Association clinical decisions algorithm.

Determinants of symptom presentation and resolution following concussions in high school sports

ABSTRACT Sport-related concussions (SRCs) are prevalent in high school (HS) sports, though the determinants of, and relationships between concussion symptoms in this population remain relatively unknown. We analysed SRC data captured within the HS RIO injury surveillance system during 2014/15-2018/19. We used Generalized Estimating Equations to simultaneously assess covariate predictors of symptom presentations and identify pairwise symptom associations and employed multivariable ordinal logistic regressions to determine symptom resolution time (SRT) predictors. Among the 8,969 concussions assessed, headaches (94.3%) and dizziness (73.3%) were the most prevalently reported symptoms. In 5,953 boys’ concussion assessed, class year, event type and injury mechanism emerged as determinants of various concussion symptoms, while in 3,016 girls’ concussions assessed, class year, event type, injury mechanism, and sport type emerged as significant symptom determinants. In both groups, difficulty concentrating, sensitivity to light, sensitivity to noise, and disorientation were symptoms with the strongest associations with other symptoms. Odds of longer SRT were higher with greater endorsement (i.e. counts) of the subset of symptoms with strongest cross-domain associations (ORadj. = 1.35; 95% CI = [1.30, 1.40]). Our findings provide valuable information for informing sideline and follow-up clinical concussion assessment algorithms in high school athletes.

"SWALLOWING AND ASPIRATION: HOW TO EVALUATE AND TREAT SWALLOWING DISORDERS ASSOCIATED WITH ASPIRATION PNEUMONIA IN OLDER PERSONS".

BACKGROUND Aspiration pneumonia (AP) is the most severe complication of oropharyngeal dysphagia (OD). It is highly underdiagnosed and undertreated among older patients hospitalized with community-acquired pneumonia (CAP). Our aim is to review the state of the art in the diagnosis and treatment of swallowing disorders associated with AP. METHODOLOGY We performed a narrative review, including our experience with prior studies at Hospital de Mataró, on the diagnosis and treatment of AP. RESULTS AP refers to pneumonia occurring in patients with swallowing disorders, frequently coinciding with poor oral health and vulnerability. Its main risk factors include oropharyngeal aspiration, impaired health status, malnutrition, frailty, immune dysfunction and oral colonization by respiratory pathogens. Incidence is estimated at between 5%-15% of cases of CAP but it is highly underdiagnosed. Diagnostic criteria for AP have not been standardized but should include its main pathophysiological element, oropharyngeal aspiration. Recently, a clinical algorithm was proposed, based on the recommendations of the Japanese Respiratory Society (JRS), that includes aspiration risk factors and clinical evaluation of OD. To facilitate the task for healthcare professionals, new AI-based screening tools for OD combined with validated clinical methods such as the volume-viscosity swallowing test (V-VST) for the detection of AP are being validated. Prevention and treatment of AP require multimodal interventions aimed to cover the main risk factors: textural adaptation of fluids and diets to avoid oropharyngeal aspiration; nutritional support to avoid malnutrition; and oral hygiene to reduce oral bacterial load. CONCLUSIONS The diagnosis of AP must be based on standardized criteria providing evidence on the main etiological factor, oropharyngeal aspiration. Clinical algorithms are valid in the diagnosis of AP and the identification of its main risk factors. Combination of AI-based tools with V-VST can lead to massive screening of OD and save resources and improve efficiency in the detection AP.

Reliability and validation of an electronic penicillin allergy risk-assessment tool in a pregnant population

BackgroundPenicillin allergy adversely impacts patient care, yet most cases do not have true allergies. Clinicians require efficient, reliable clinical tools to identify low risk patients who can be safely de-labeled. Our center implemented the FIRSTLINE electronic point-of-care decision support tool to help non-allergist practitioners risk stratify patients with penicillin allergy. We sought to explore the reliability and validity of this tool in relation to allergist assessment and actual patient outcomes. We additionally compared it with two other published stratification tools, JAMA and PENFAST, to assess ability to accurately identify low risk patients appropriate for direct oral challenge.MethodsIn this single-center, retrospective, observational study, 181 pregnant females with self-reported penicillin allergy between July 2019 to June 2021 at BC Women’s Hospital, Vancouver, Canada were used to assess the reliability and validity of all three tools. Physician-guided history of penicillin use and symptoms were used for scoring. Results and recommendations were compared to actual patient outcomes after clinician decision for direct oral challenge or intradermal tests. We compared the performance of JAMA, PENFAST and FIRSTLINE.Results181 patients were assessed. 176/181 (97.2%) patients were deemed not allergic. Each risk stratification tool labelled majority of patients as low risk with 88.4% of patients PENFAST 0–2, 60.2% of patients JAMA low risk, 86.7% of patients FIRSTLINE very low risk.ConclusionWe demonstrate that our point-of-care electronic algorithm is reliable in identifying low risk pregnant patients, as compared to an allergist assessment. To our knowledge, this is the first study to provide direct comparison between multiple decision support tools using the same population, minimizing participant bias. Providing clinical algorithms to risk stratify patients, can enable healthcare professionals to safely identify individuals who may be candidates for direct penicillin oral challenges versus needing referral to specialists. This increases the generalizability and efficiency of penicillin allergy de-labeling.

Disparities in screening and risk stratification for hispanic adults with metabolic dysfunction-associated steatotic liver disease.

Cut-points for non-invasive tests (NITs) for risk stratification in metabolic dysfunction-associated steatotic liver disease (MASLD) were derived from predominantly non-Hispanic populations. It is unknown if these cut-points perform adequately in Hispanic individuals. We assessed the performance characteristics of current NIT cut-points among Hispanic patients and determined whether they could be further optimized. We prospectively enrolled 244 adults with biopsy-proven MASLD. Participants underwent a research visit with magnetic resonance elastography (MRE) and vibration controlled transient elastography (VCTE). Histology and imaging assessments were conducted centrally. Diagnostic performance was evaluated by area under the receiver-operating curve (AUROC) and optimal cut-points were identified by Youden J analysis. The mean (±SD) age and body mass index were 52.6 (±13) and 31.6 (±4.6) kg/m2. Overall, 40% had diabetes, 31% (N=75) were Hispanic. 40% of Hispanic and 28.4% of non-Hispanic patients had significant fibrosis. To detect significant fibrosis, MRE and VCTE exhibited significantly lower accuracy in Hispanic versus non-Hispanic participants (AUROC: MRE, 0.87 vs. 0.98, p=0.01; VCTE, 0.78 vs. 0.92, p=0.02). Clinical care algorithms yielded high false-negative rates among Hispanic participants (14% with low-risk FIB-4 and 21% with low-risk VCTE had advanced fibrosis on biopsy). Cut-points of 2.73kPa for MRE and 6.9kPa for VCTE were optimal to detect significant fibrosis in Hispanic individuals. Findings were validated in a Latin American cohort. Lower NIT cut-points may be needed to optimize surveillance for significant fibrosis due to MASLD in Hispanic populations commensurate with their higher burden and severity of disease.

New York City’s Public Health Approach to Reexamining Race-Based Clinical Algorithms

New York City’s Public Health Approach to Reexamining Race-Based Clinical Algorithms

A Programme of Hepatitis C Surveillance With Active Linkage to Care (HEAL) for Inpatients in Two Tertiary Hospitals in Jiangsu, China.

Hepatitis C virus (HCV) infection is a major public health burden in China, affecting more than 10 million individuals. We aimed to evaluate the effectiveness of a hospital-based intervention programme for HCV Surveillance with linkage to care (HEAL) in a prospective cohort. The HEAL programme was carried out targeting inpatients from non-infectious departments of two tertiary hospitals in Jiangsu, China. It consisted of an educational campaign to raise awareness of physicians from non-IDs to promote HCV surveillance, a patient-navigator-centred clinical algorithm responsible for the efficient follow-up of patients with positive HCV antibody, including comprehensive testing, diagnosis and treatment. We characterised the rate of linkage to HCV diagnosis, care and treatment during the pre-intervention period (from 1 July 2016 and June 30, 2018) and after the intervention (from March 2019 to May 2021). During the pre-intervention period, 89,303 (45.3%) out of 196,780 non-ID inpatients were screened for anti-HCV, and 631 patients were tested positive. One hundred and fifty-six (24.7%) patients was followed up for HCV RNA confirmatory testing, and 58 (37.1%) of patients further were diagnosed with chronic HCV infection (CHC). Only 18 (31.3%) of the diagnosed patients with CHC were linked to hepatitis C clinics for treatment, 10 (55.6%) patients received antiviral regimen. Among them, two (11.1%) received DAA treatment, while eight (44.4%) adopted peginterferon/ribavirin regimen. During the intervention period, 232,275 patients were hospitalised in non-infectious department and 151,203 (65.1%) were screened for anti-HCV. Of these, 960 patients tested positive for HCV antibodies, resulting in a prevalence of anti-HCV positivity of 0.63%. Six hundred and seventy (69.8%) patients were enrolled, and 100% were followed up for HCV RNA confirmatory testing. Two hundred and ninety-one (43.4%) individuals with active HCV were identified. Two hundred and thirty-eight (81.8%) of HCV-infected individuals were linked to HCV care, and 157 (65.9%) were linked to treatment. Compared to the pre-intervention period, there was a 2.61-fold increase in the percentage of patients linked to care and a 5.94-fold increase in the proportion of patients who started DAAs therapy. This HEAL programme achieved enhanced HCV Surveillance with linkage to care, which has been demonstrated as an effective strategy in the hospital setting to improve the hepatitis C care continuum by identifying inpatients unaware of their HCV status and facilitating their access to HCV treatment.

How Other Specialists See Palliative Care Uncovering Their Deep Metaphors to Improve Our Initial Outreach Strategies.

Many patients who could benefit from palliative care (PC) do not access it because of the timing and tenor of the introduction provided by their specialist. A barrier to improving specialists' (from disciplines other than PC) engagement with PC services may be an inadequate understanding of how those specialists view PC. As part of a larger project to develop public messaging for advance care planning, PC, and hospice, we conducted a qualitative market research study aimed at identifying the "deep metaphors" held by specialists about PC to provide an empirical foundation for more effective outreach and messaging. To identify deep metaphors, we used the qualitative Zaltman Metaphor Elicitation Technique to uncover thought patterns from participants' images and interview responses, revealing deeper emotional meanings and unconscious mental orientations. We enrolled 20 provider-level clinicians from a variety of professional disciplines and specialties to participate in a one-hour semi-structured interview that required prework. The interviews were videorecorded and transcribed and were analyzed along with images brought by participants using a variation of the constant comparative method. The themes included: Having to tell patients the "right" information and path; Not allowing myself to make mistakes; Depending on algorithms so I can give my patients the best care; Putting the patient in charge can challenge clinical algorithms; Observing that PC seems to lack an objectively "right" decision; Consulting PC invites subjectivity best contained at the end of the algorithm. These themes can inform strategies for outreach and messaging to other serious illness specialist clinicians to lower reluctance to consult PC, increasing patient access.

Pediatric Rhegmatogenous Retinal Detachment and its Treatment

Pediatric rhegmatogenous retinal detachments have a different clinical presentation and different treatment algorithms than adult rhegmatogenous retinal detachments. The absence of posterior vitreus detachment and the predominance of retinal holes and dialysis in the etiology can be counted among these differences. Slow onset of visual loss and the inability of the pediatric age group to appreciate the symptoms leads to the development of variable amounts of proliferative vitreoretinopathy at clinical presentation. The presence of the crystalline lens and exaggerated wound healing response of the young eye changes the usual treatment approach of the adult detachments, and combination surgeries are frequently required. Scleral buckling surgery is the primary treatment option in the pediatric age group. It may be applied segmentally or circumferentially according to the level of the retinal breaks and the extent proliferative vitreoretinopathy present. Vitrectomy may be added according to the treatment response or the level of proliferative vitreoretinopathy present. Phakic lens status, abnormally posterior insertion of posterior vitreus base, and hyalocyte cellular remnants despite successful intraoperative posterior vitreus detachment are the obstacles that may be encountered in vitrectomy for pediatric retinal detachment. Pediatric rhegmatogenous retinal detachments require a higher number of surgeries per patient and have a lower final retinal attachment rate than adult cases. Examination and prophylactic treatment of the fellow eye must be carried out as the underlying retinal breaks and predisposing lesions are frequently bilateral with the exception of trauma in this age group.

A-166 Performance verification of a polyclonal anti-PF4 immunoassay in evaluation of Heparin Induced Thrombocytopenia (HIT)

Abstract Background Heparin-induced thrombocytopenia (HIT) is a severe complication of exposure to heparin that occurs in a small percentage of patients in anticoagulation therapy. HIT could happen regardless of the dose, exposure, schedule, or route of administration. HIT results from an autoantibody directed against endogenous platelet factor 4 (PF4) that forms complex with heparin. This antibody activates platelets and can cause life threatening arterial and venous thrombosis. Untreated HIT has a mortality rate as high as 20%. However, with appropriate screening, diagnosis and early intervention, mortality rates have been reported to be below 2%. The laboratory evidence in evaluating patients for HIT is crucial for early intervention. There are several assays available to diagnose Heparin Induced Thrombocytopenia (i.e., immunoassay and/or functional assay for HIT antibodies; serotonin release assays). The purpose of this study is to establish the measurement criteria and verify performance characteristics of a polyclonal anti-PF4 immunoassay. The test of interest (anti-PF4 immunoassay) is intended for the qualitative detection of the anti-heparin-platelet factor 4 antibodies in plasma or serum by ELISA. Methods The ASSERACHROM Assay (Diagnostica Stago, Inc. USA) was implemented in the automated Dynex DS2 ELISA Processing System (Dynex Technologies Inc USA). Two Dynex DS2 instrument comparisons along with precision, accuracy and measurement range for qualitative positive and negative results were studied. The reference method comparisons with serotonin release assay and other monoclonal anti-PF4 immunoassays were performed. To evaluate performance of the assay, we conducted precision, accuracy, and qualitative method comparison. We compared the assay of interest with two reference lab immunoassays and the gold standard reference method (serotonin release assay). The statistical analysis was carried out in EP Evaluator and GraphPad Prism. Results The negative control precision demonstrated CV of 9.2% (N=20, mean= 0.11, SD= 0.01). The analyte measurement is expressed as optical density (OD). The positive control precision characteristics showed CV of 8.1% (N=20, mean= 1.62, SD= 0.13). The threshold was defined as reference reagent absorbance (R6OD) times the variance factor divided by 100 ((R6OD* variance factor)/100= threshold (X)). This is used for positive (>the X) and negative (< the X) absorbance cut off for patient samples. The R6 reference material precision study resulted in a CV of 7.95% (N=20, mean= 2.1, SD= 0.17). The R6 variance factor per precision statistics at 3SD level was 23.85%. This is comparable to peer group variance provided in the assay package insert (23.5%). The polyclonal anti-PF4 immunoassay versus a reference monoclonal method (N=40) demonstrated agreement of 90.9% with positive agreement of 100% and negative agreement of 89.5%. When compared with gold standard serotonin release assay (N=40), the assay demonstrated agreement of 75% with positive agreement of 90% and negative agreement of 60%. The two instruments demonstrated agreement of 97.5% with positive agreement of 100% and negative agreement of 93.3% (Cohen's Kappa 94.6%; with Kappa > 75% indicates “high” agreement). Conclusions This anti-PF4 immunoassay is precise, accurate and comparable with three different reference methods. The test is best utilized when 4T score based clinical algorithm is used for evaluation of HIT.

Evaluation of an electronic clinical decision support algorithm to improve primary care management of acute febrile illness in rural Cambodia: protocol for a cluster-randomised trial

IntroductionAcute febrile illness (AFI), traditionally attributed to malaria, is a common reason for seeking primary healthcare in rural South and Southeast Asia. However, malaria transmission has declined while health workers...

Paucity of Published Data and Protocols for Hypoglycemia Management in Long-term Care.

Background: Older people with diabetes are at high risk for hypoglycemia. Implementing a hypoglycemia treatment protocol in long-term care (LTC) settings may positively affect patient-related outcomes and health care resource utilization and costs. Anecdotal experience indicates little has been studied and published regarding this clinical practice. Objective: To identify hypoglycemia treatment protocols established for LTC settings and assess their effects on patient-related outcomes and health care resource use. Data Sources: The authors performed a systematic literature search of English-language articles and abstracts published between January 1, 2003 (PubMed), or 2018 (Google Scholar) and May 10, 2023. Search terms were "hypoglycemia," "diabetes mellitus," "longterm care," "nursing facilities," "assisted living facilities," "geriatrics," "elderly," "aged," "disabled," "disease management," "evidence-based medicine," "clinical protocols," "guideline," "glucagon," and/or "blood glucose." Included were publications with hypoglycemia treatment and management protocols or hypoglycemia-specific recommendations for LTC settings. DATA SYNTHESIS: The authors identified 405 articles and abstracts, removed 36 duplicates, screened 369 titles/ abstracts, and analyzed the full text for 93. Five met the inclusion criteria. Two originated from the American Diabetes Association: 2016 position statement regarding the management of diabetes in LTC and skilled nursing facilities, and 2023 standard-of-care guideline for managing older people with diabetes. One included the results after implementing an overall diabetes clinical care management algorithm in LTC facilities. A 2020 abstract and 2019 article were the only 2 publications involving specific hypoglycemia treatment protocols in LTC settings. Conclusion: This systematic literature search identified lack of published hypoglycemia treatment protocols in LTC settings and their effects on patient outcomes.

“Is it time to initiate scrub typhus surveillance in Karnataka?”—Lessons from a seroprevalence survey in a rural district

ABSTRACT Background: Scrub typhus, caused by Orientia tsutsugamushi, is a commonly occurring, but underdiagnosed rickettsial infection in India. Considering the high incidence of scrub typhus among patients with acute febrile illness in the hospital setting and the paucity of community seroprevalence studies, we aimed to estimate the prevalence of scrub typhus in the community in the Bengaluru Rural District. Methods: A pilot cross-sectional survey was conducted between October and December 2022 among eligible asymptomatic adults from five randomly selected villages of the Bangalore Rural District after obtaining written informed consent. Serum immunoglobin M (IgM) and immunoglobin G (IgG) antibodies were tested using the respective enzyme-linked immunosorbent assay (ELISA) kits from InBios International Inc, Seattle, USA. Seroprevalence was defined as positivity to either IgG or IgM antibodies or both. Results: The study reported a seroprevalence of 8.9% (95% CI 4.8%–14.7%) among 146 asymptomatic adults. The IgG and IgM antibodies were positive in 7.5% and 2.1% of participants, respectively. Conclusions: A community seroprevalence of 8.9% warrants further epidemiological surveys and surveillance in the context of climate change, variable clinical presentations of scrub typhus, and the possible need to include this disease in the clinical practice algorithm in the primary care setting. We recommend study designs with “One Health” lens to monitor the trend of this re-emerging public health problem.

Improving the quality and guideline concordance of multidisciplinary gastric cancer care in a safety net hospital.

314 Background: Gastric cancer is a leading cause of cancer death worldwide and disproportionally affects people of East Asian and Latin American ethnicities. This study aimed to implement and evaluate an intervention to improve the quality and guideline concordance of multidisciplinary gastric cancer care at a public safety net hospital, Zuckerberg San Francisco General Hospital (ZSFG). Methods: A quality improvement (QI) intervention was developed and evaluated by pre-post comparison of clinical data. (1) An in-depth chart review of all patients with gastric adenocarcinoma in 2017-2019 (n=17) evaluated concordance with evidence-based guidelines and quality metrics. (2) Multidisciplinary meetings identified barriers to high quality care and established targets for improvement. (3) A clinical algorithm tailored for ZSFG was disseminated to standardize gastric cancer management. (4) A post-intervention chart review was conducted of all patients from 2021-2022 (n=22). (5) Descriptive statistics and pre-post comparison of QI metrics with Chi square and Kruskal Wallis tests were performed. Results: Pre-intervention clinical data and multidisciplinary input identified gaps in care: variation in provider knowledge and practices, rapidly evolving guidelines, limited access to advanced diagnostic modalities, and non-standardized surgical documentation. After implementation of a standardized approach to address these gaps, pre-post improvement was seen in rates of tumor board presentation (36.3% vs. 85.7%, P= 0.033), use of endoscopic ultrasound (9.09% vs. 64.2%, P= 0.017), pre-treatment nodal staging (27.2% vs. 78.5%, P= 0.030), receipt of neoadjuvant chemotherapy (20% vs. 80%, P=0.007 ), documentation of lymphadenectomy type (25% vs. 100%, P= 0.015), and a trend toward reduced time to PET/CT scan (median, 8.5 weeks pre vs 7.1 weeks post, P= 0.268). Conclusions: A QI intervention was successfully implemented to standardize gastric cancer care at ZSFG. Significant improvements were seen in all targeted metrics except time to outside PET scan. Potential confounders affecting pre-post care quality included personnel changes in a small workforce and the COVID-19 pandemic. Nevertheless, our intervention led to sustained improvements in practice patterns. We aim to replicate this success with other malignancies. Category Pre-Intervention Target Post-Intervention P value* Tumor Board% cM0 cases presented 36% (n=11) >90% 86% (n=14) 0.033 Endoscopic ultrasound (EUS)% cM0 cases referred for clinical staging 9% (n=11) >90% 64% (n=14) 0.017 Nodal staging (with EUS or PET) 27% (n=11) N/A 79% (n=14) 0.030 Receipt of neoadjuvant chemotherapy% eligible patients 20% (n=10) >80% 80% (n=10) 0.007 Surgery documentationLymphadenectomy type (i.e., D1 or D2) 25% (n=8) 100% 100% (n=7) 0.015 Time from diagnosis to PET/CT (median) 8.5 wks <5 wks 7.1 wks 0.268 *Chi square test, Kruskal-Wallis test.

Problems of depression in neurological practice

Introduction. Depressive disorders have ceased to be only the task of psychiatrists. Depression is detected in patients with a somatic and neurological profile as a reaction to the disease, and may be the cause of the disease. The number of above-mentioned pathologies remains unknown to date. The main task for health care organizers is the need to build an algorithm for the identification, registration and treatment of depressive disorders in patients with combined pathologies. This article discusses depressive disorders in patients with multiple sclerosis. The purpose of the study: to study depressive disorders and factors influencing depression in patients with multiple sclerosis. Materials and methods. 203 patients with clinically confirmed diagnosis of MS participated. Taking into account the course of the disease, MS patients were distributed: with a remitting (RRS) type of MS course 88.2 % (179 people) and 11.8 % (24 people) with a secondary progressive course (RRS). The average age of the examined patients with remitting course (RRS) ranged from 15 to 63 years, on average 38 ± 10 years. The age of the examined patients with HPV is in the range from 29 to 65 years, on average (46 ± 9.00) years. The majority of patients had a disease duration of less than 20 years, on average 8.23±6.57 years. The average age of onset of the disease is 30.2±10.5 years. The duration of the disease is 9.84 ± 0.73 years, while the level of disability of patients (score in points on the Expanded Disability Status Scale/EDSS) at the time of examination was 2.89 ± 0.16 points. The disability index varied in patients with RRS2.89 ± 0.16 points, in patients with RRS (5.0 ± 0.24) points. Results and discussion. 55.7 % (113 people) of MS patients were diagnosed with depression, of which 80.5 % (91 people) and 19.5% (22 people) of patients with a remitting (RRS) course and a secondary progressive course of the disease (RRS). More than 54.8 % (62 people) had mild and moderate depressive manifestations, 39.8 % (45 people) most often had mixed anxiety-depressive disorder, recurrent depressive disorder, then depressive episodes. It was revealed that the development of depression in patients with a remitting course is influenced by: «disease duration» PC p = 0.00333**, «disability level» p = 0.0457* and «personal anxiety» p = 0.0194. In patients with a secondary progressive course, depression is influenced by the following factors: «situational» p = 0.0398* and «personal anxiety» p = 1.740. The social status determined that patients with «MS without depression» who were married were statistically less likely to suffer from depression and maintained their working capacity longer (p < 0.001). Conclusion. Depressive disorders are the leading disorders in neurological patients, but their number and severity of symptoms are often ignored by specialists. Therefore, the health authorities are faced with the task of building a clinical and organizational algorithm for the identification of depressive disorders, as well as their timely medical correction.

Use and feasibility of a Lynch Syndrome predictive model for inherited colorectal and endometrial cancer in a low-middle income country.

While universal tumor testing for Lynch Syndrome (LS) is recommended in all new diagnoses of colorectal cancer (CC) and endometrial cancer (EC), the cost and availability of this test in low-resource settings poses challenges. The PREdiction Model for gene Mutations (PREMM5) is a clinical algorithm designed to assess the risk of an individual carrying estimates one's risk of carrying a LS mutation. This study aims to assess the feasibility of using PREMM5 to screen for LS risk in Guatemala. This cross-sectional pilot study enrolled 50 patients with colorectal or endometrial cancer receiving treatment at LIGA-INCAN, a cancer hospital in Guatemala City, between June 2022-July 2022. Patients were contacted by phone and administered the PREMM5 survey, followed by an additional feasibility questionnaire. Of the 50 participants, 62% of patients had a PREMM5 predicted probability of ≥ 2.5%, the threshold above which genetic testing is recommended. Almost all patients found the survey easy to complete (98%), were able to easily recall personal (90%) and family (88%) medical history, understood its purpose (94%), and reported an interest in (96%) and ability to (98%) act on the results if applicable. Our study shows the role of the PREMM5 as a feasible tool for identifying individuals at risk of carrying mutations associated with LS in this low-resource setting. By implementing the PREMM5 model, high risk individuals can be identified early, enabling timely interventions and improving outcomes in this at-risk population.

Optimized patient-specific immune checkpoint inhibitor therapies for cancer treatment based on tumor immune microenvironment modeling.

Enhancing patient response to immune checkpoint inhibitors (ICIs) is crucial in cancer immunotherapy. We aim to create a data-driven mathematical model of the tumor immune microenvironment (TIME) and utilize deep reinforcement learning (DRL) to optimize patient-specific ICI therapy combined with chemotherapy (ICC). Using patients' genomic and transcriptomic data, we develop an ordinary differential equations (ODEs)-based TIME dynamic evolutionary model to characterize interactions among chemotherapy, ICIs, immune cells, and tumor cells. A DRL agent is trained to determine the personalized optimal ICC therapy. Numerical experiments with real-world data demonstrate that the proposed TIME model can predict ICI therapy response. The DRL-derived personalized ICC therapy outperforms predefined fixed schedules. For tumors with extremely low CD8 + T cell infiltration ('extremely cold tumors'), the DRL agent recommends high-dosage chemotherapy alone. For tumors with higher CD8 + T cell infiltration ('cold' and 'hot tumors'), an appropriate chemotherapy dosage induces CD8 + T cell proliferation, enhancing ICI therapy outcomes. Specifically, for 'hot tumors', chemotherapy and ICI are administered simultaneously, while for 'cold tumors', a mid-dosage of chemotherapy makes the TIME 'hotter' before ICI administration. However, in several 'cold tumors' with rapid resistant tumor cell growth, ICC eventually fails. This study highlights the potential of utilizing real-world clinical data and DRL algorithm to develop personalized optimal ICC by understanding the complex biological dynamics of a patient's TIME. Our ODE-based TIME dynamic evolutionary model offers a theoretical framework for determining the best use of ICI, and the proposed DRL agent may guide personalized ICC schedules.