Identification Of Patients Research Articles

8668 Total And Trunk Body Fat Are Associated With Chronic Kidney Disease Progression In Type 2 Diabetes Patients: A Prospective Study

Abstract Disclosure: T. Zelmanovitz: None. D. Weber: None. C. Pavinatto: None. G. Bello: None. M.R. de Souza: None. R.B. Junior: None. M. Azevedo: None. B.L. Dama: None. S. Silveiro: None. Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease and obesity is considered an independent risk factor for the development and progression of this complication. However, BMI alone, the most commonly used measure to assess adiposity, may not be enough to identification of high risk patients. The ideal markers of adiposity in these patients still need to be better determined. The aim of this study was to evaluate the association between the progression of DKD in type 2 diabetes patients and the following body adiposity markers: BMI, waist circumference (WC) and estimated total and trunk body fat. Research design and methods: In this prospective cohort study, at baseline, type 2 diabetes outpatients were submitted to percentage body fat (PBF) evaluation estimated by bioelectrical impedance (BIA; InBody 230, Biospace, Korea) as well as Dual Energy X-Ray Absorptiometry (DXA; Lunar - iDXA), as a reference standard. Clinical evaluation consisted of glycemic and lipid profile, blood pressure control and the search for diabetic chronic complications. Urinary albumin was measured twice and estimated glomerular filtration rate (eGFR) was estimated by using the CKD-EPI equation. The progression of DKD was defined by the presence of at least one of the following: worsening of albuminuria, a decline of eGFR ≥ 5 ml/min/1.73m2 per year, a decline in eGFR of ≥ 40% from baseline or kidney failure defined by sustained eGFR < 15 ml/min/1.73m2. Results: A total of 201 patients with type 2 diabetes (aged 63 ± 9 years; 42% male), were followed during 6 years. In a multivariate Cox regression analysis, the PBF was associated with progression of DKD (HR=1.04, 95% CI: 1.008 - 1.08; P= 0.015), adjusted for age, gender, using ACE inhibitors or angiotensin receptor blockers, and systolic blood pressure values. In a different model, percentage of trunk fat was also associated with progression of DKD (HR=1.05, 95% CI: 1.02 - 1.09; P= 0.003), adjusted for the same covariates. No association was observed with BMI and WC. Conclusion: In patients with type 2 diabetes, percentage total and trunk body fat, as markers of body adiposity, seem to be associated with progression of DKD. Confirming these findings with further studies, it could provide one more tool in the evaluation and management of a modifiable risk factor of this complication. Presentation: 6/1/2024

8197 A Captivating Case Report of Teprotumumab Induced Hyperglycemic Hyperosmolar State

Abstract Disclosure: K.M. Tuna: None. J.P. Perdomo Rodriguez: None. Introduction: Teprotumumab, a monoclonal antibody targeting the IGF-1 receptor, is increasingly utilized for moderate to severe thyroid eye disease. Initial trials noted mild hyperglycemia in patients with diabetes, while recent trials revealed a significant elevation in Hemoglobin A1c (HbA1c) among those with diabetes or pre-diabetes post-infusion. Here, we discuss a case of a patient with diet-controlled diabetes who developed hyperglycemic hyperosmolar state (HHS) two months after Teprotumumab infusion. Case Presentation: A 43-year-old male, with class III obesity, obstructive sleep apnea, dyslipidemia, coronary artery disease, and diet-controlled diabetes (HbA1c 6.5%) presented with worsening proptosis, decreased color vision, severe visual field depression. Laboratory evaluation revealed elevated TSH (6.3 mIU/ml), normal free T4 (0.67 ng/dl, ref: 0.60-1.2 ng/dl), and undetectable Thyroid Stimulating Immunoglobulin (<0.1 IU/L). Blood cell count, renal and liver function tests were normal. Due to high clinical suspicion of thyroid eye disease, he was treated with timolol, dorzolamide, brimonidine, and methylprednisolone 1g daily for 3 days. Glycemic control was achieved with 30 units of daily insulin while on pulse steroids. On outpatient ophthalmology follow-up, Teprotumumab was initiated and he received 2 doses. Eight weeks later, the patient was hospitalized with altered mental status caused by HHS (glucose 617 mg/dl, serum osmolality 316 osm). HbA1c was found to be significantly increased to 12% and the patient required 150 units total daily insulin and metformin upon discharge. Of note, the patient did not have significant weight changes during this time. GAD, IA2, and Zinc Transporter-8 antibodies were obtained prior to discharge and results are pending. Discussion: The IGF-1 receptor, a partial homologue of the insulin receptor, plays a pivotal role in glucose homeostasis. Inhibiting this receptor can lead to hyperglycemia. Initial randomized controlled trials (RCTs) reported a 10% incidence of mild hyperglycemia. A recent RCT from a cohort of 42 patients demonstrated a 50% incidence of hyperglycemia, in which two-thirds of the patients remained in a dysglycemic state with one patient with pre-existing prediabetes developing diabetic ketoacidosis (DKA). Our patient mirrored this scenario with no identifiable confounding factors. Conclusion: Teprotumumab-induced hyperglycemia, though rare, can lead to life-threatening complications. Baseline glycemic assessment, identification of high-risk patients, and comprehensive discussions on risks and benefits are crucial before initiating therapy. Close monitoring, especially in those with prediabetes, is recommended. Patient education plays a pivotal role in early symptom recognition, averting delayed diagnoses, and subsequent hospitalization. Presentation: 6/3/2024

Development and validation of a nomogram for predicting pulmonary complications in elderly patients undergoing thoracic surgery

BackgroundPostoperative pulmonary complications (PPCs) remain a prevalent concern among elderly patients undergoing surgery, with a notably higher incidence observed in elderly patients undergoing thoracic surgery. This study aimed to develop a nomogram to predict the risk of PPCs in this population.MethodsA total of 2963 elderly patients who underwent thoracic surgery were enrolled and randomly divided into a training cohort (80%, n = 2369) or a validation cohort (20%, n = 593). Univariate and multivariate logistic regression analyses were conducted to identify risk factors for PPCs, and a nomogram was developed based on the findings from the training cohort. The validation cohort was used to validate the model. The predictive accuracy of the model was evaluated by receiver operating characteristic (ROC) curve, area under ROC (AUC), calibration curve, and decision curve analysis (DCA).ResultsA total of 918 (31.0%) patients reported PPCs. Nine independent risk factors for PPCs were identified: preoperative presence of chronic obstructive pulmonary disease (COPD), elevated leukocyte count, higher partial pressure of arterial carbon dioxide (PaCO2) level, surgical site, thoracotomy, intraoperative hypotension, blood loss > 100 mL, surgery duration > 180 min, and malignant tumor. The AUC value for the training cohort was 0.739 (95% CI: 0.719–0.762), and it was 0.703 for the validation cohort (95% CI: 0.657–0.749). The P-values for the Hosmer-Lemeshow test were 0.633 and 0.144 for the training and validation cohorts, respectively, indicating a notable calibration curve fit. The DCA curve indicated that the nomogram could be applied clinically if the risk threshold was between 12% and 84%, which was found to be between 8% and 82% in the validation cohort.ConclusionThis study highlighted the pressing need for early detection of PPCs in elderly patients undergoing thoracic surgery. The nomogram exhibited promising predictive efficacy for PPCs in elderly patients undergoing thoracic surgery, enabling the identification of high-risk patients and consequently aiding in the implementation of preventive interventions.Graphical

Correct patient identification and matching of adults in an ambulatory care setting: a best practice implementation project.

Ambulatory care settings are at high risk for errors when identifying patients and matching them to their intended care. The objective of this project was to improve correct and consistent patient identification and matching to their intended care by nurses in ambulatory care settings. The seven-phase JBI Evidence Implementation Framework was used to guide this project. JBI tools were used to audit current practices and implement best practices in four ambulatory care units. The implementation plan included a baseline audit and two follow-up audits. Feedback was obtained through interviews with ambulatory care nursing staff, educational sessions were conducted for nursing staff, and unit guidelines were developed. In the baseline audit, compliance with best practice criteria for patient matching and identification was below 62% for 7/13 criteria. After conducting education sessions and other strategies, 1/3 pre- and post-clinical intervention criteria improved in compliance, while 2 were unchanged. For blood product administration criteria, 2/5 improved, 1 was unchanged, and 2 were lower than baseline. Nurses' education in patient identification procedures improved (1/1) and knowing where to access relevant policies remained unchanged at 100%. Criteria for patients knowing the importance of patient identification (2/2) and the identification band following national standards (1/1) improved from baseline. The results support the use of education sessions and infrastructure changes to promote and sustain change in evidence-based practice in ambulatory care units. Not all criteria improved, and the audit team identified strategies to improve the implementation of evidence-based practice in ambulatory care units. http://links.lww.com/IJEBH/A275.

Sentiment analysis in medication adherence: using ruled-based and artificial intelligence-driven algorithms to understand patient medication experiences.

Studies are exploring ways to improve medication adherence, with sentiment analysis (SA) being an underutilized innovation in pharmacy. This technique uses artificial intelligence (AI) and natural language processing to assess text for underlying feelings and emotions. This study aimed to evaluate the use of two SA models, Valence Aware Dictionary for Sentiment Reasoning (VADER) and Emotion English DistilRoBERTa-base (DistilRoBERTa), for the identification of patients' sentiments and emotions towards their pharmacotherapy. A dataset containing 320,095 anonymized patients' reports of experiences with their medication was used. VADER assessed sentiment polarity on a scale from - 1 (negative) to + 1 (positive). DistilRoBERTa classified emotions into seven categories: anger, disgust, fear, joy, neutral, sadness, and surprise. Performance metrics for the models were obtained using the sklearn.metrics module of scikit-learn in Python. VADER demonstrated an overall accuracy of 0.70. For negative sentiments, it achieved a precision of 0.68, recall of 0.80, and an F1-score of 0.73, while for positive sentiments, it had a precision of 0.73, recall of 0.59, and an F1-score of 0.65. The AUC for the ROC curve was 0.90. DistilRoBERTa analysis showed that higher ratings for medication effectiveness, ease of use, and satisfaction corresponded with more positive emotional responses. These results were consistent with VADER's sentiment analysis, confirming the reliability of both models. VADER and DistilRoBERTa effectively analyzed patients' sentiments towards pharmacotherapy, providing valuable information. These findings encourage studies of SA in clinical pharmacy practice, paving the way for more personalized and effective patient care strategies.

Liver Dysfunction and Systemic Inflammation Drive Organ Failures in Acute Decompensation of Cirrhosis: A Multi-Centric Study.

Hospitalized patients with acute decompensation (AD) of cirrhosis are at risk of progressing to acute-on-chronic liver failure (ACLF), significantly increasing their mortality. This study aimed to identify key predictors and patient trajectories predisposing to ACLF. In this multi-center, prospective study spanning two years, clinical, biochemical, and 90-day survival data were collected from 625 AD patients (EASL criteria) across North, South, and East India. We divided the cohort into a Derivation-cohort (DC: 318 patients) and a Validation-cohort (VC: 307 patients). Predictive models for pre-ACLF were derived, validated, and compared with established scores like MELD3.0 and CLIF-C AD. Of 625 patients, (mean age 49, 83% male, 77.5% with alcohol-related liver disease), 32.2% progressed to ACLF. Patients progressing to ACLF showed significantly higher bilirubin (10.9vs.8.1mg/dl), leukocyte counts (9400vs.8000 per mm3), INR (1.9 vs.1.8), and MELD3.0 (28vs.25), but lower sodium (131vs.134mEq/L) and survival (62% vs.86%) compared to those without progression (p<0.05) in the DC. Consistent results were noted with AH, infection and HE as additional risk factors in VC. Liver failure at presentation [OR: 2.4 (in DC), 6.9 (in VC)] and the seven-day trajectories of bilirubin, INR, and MELD3.0 significantly predicted ACLF progression (p<0.001). A new PRE-ACLF Model showed superior predictive capability (AUC of 0.71 in DC and 0.82 in VC) compared to MELD3.0 and CLIF-C AD scores (p<0.05). Approximately one-third of AD patients in this Indian cohort rapidly progressed to ACLF, resulting in high mortality. Early identification of patients at risk can guide targeted interventions to prevent ACLF.

Better Prediction of Clinical Outcome with Estimated Glomerular Filtration Rate by CKD-EPI 2021.

While the real-world impact of estimated glomerular filtration rate (eGFR) equation change on clinical outcome in a longitudinal cohort setting is limited, external valuation of equation performance should be performed in different population cohorts. This study aimed to compare differential impacts of eGFR values, calculated by 5 equations in a Korean patient population, on clinical outcomes. This retrospective longitudinal follow-up cohort study analyzed 23 246 participants with standardized creatinine/cystatin C assay-based laboratory results. The primary exposure was baseline eGFR calculated by 5 different equations including the recently developed 2021 race-free Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. Clinical outcomes including all-cause mortality, renal replacement therapy, and albuminuria were analyzed to estimate the hazard ratio of the eGFR on clinical outcomes. Among the 5 equations, CKD-EPI 2021 with creatinine and cystatin C (CKD-EPI 2021-CrCys) showed an earlier increase in hazard ratios for all clinical outcomes, while CKD-EPI 2012 with cystatin C showed a higher hazard ratio for all-cause mortality at low eGFR. Replacing CKD-EPI 2012 with CKD-EPI 2021-CrCys, 5.4% of patients with mortality and 3.3% of patients who received renal replacement therapy were reclassified to a lower risk stage. The 2021 CKD-EPI equations were acceptable in a Korean population, with better predictive power for clinical outcomes when compared to previous equations. The updated race-free factors for eGFR calculation improved identification of patients at risk for clinical outcomes.

Fragmentomics of plasma mitochondrial and nuclear DNA inform prognosis in COVID-19 patients with critical symptoms

BackgroundThe mortality rate of COVID-19 patients with critical symptoms is reported to be 40.5%. Early identification of patients with poor progression in the critical cohort is essential to timely clinical intervention and reduction of mortality. Although older age, chronic diseases, have been recognized as risk factors for COVID-19 mortality, we still lack an accurate prediction method for every patient. This study aimed to delve into the cell-free DNA fragmentomics of critically ill patients, and develop new promising biomarkers for identifying the patients with high mortality risk.MethodsWe utilized whole genome sequencing on the plasma cell-free DNA (cfDNA) from 33 COVID-19 patients with critical symptoms, whose outcomes were classified as survival (n = 16) and death (n = 17). Mitochondrial DNA (mtDNA) abundance and fragmentomic properties of cfDNA, including size profiles, ends motif and promoter coverages were interrogated and compared between survival and death groups.ResultsSignificantly decreased abundance (~ 76% reduction) and dramatically shorter fragment size of cell-free mtDNA were observed in deceased patients. Likewise, the deceased patients exhibited distinct end-motif patterns of cfDNA with an enhanced preference for “CC” started motifs, which are related to the activity of nuclease DNASE1L3. Several dysregulated genes involved in the COVID-19 progression-related pathways were further inferred from promoter coverages. These informative cfDNA features enabled a high PPV of 83.3% in predicting deceased patients in the critical cohort.ConclusionThe dysregulated biological processes observed in COVID-19 patients with fatal outcomes may contribute to abnormal release and modifications of plasma cfDNA. Our findings provided the feasibility of plasma cfDNA as a promising biomarker in the prognosis prediction in critically ill COVID-19 patients in clinical practice.

Duplex ultrasonography for screening and monitoring of carotid artery stenosis for risk stratification of ischemic stroke

Aim: To evaluate the efficiency of Duplex Ultrasonography (DUS) for monitoring and screening of Carotid Artery Stenosis (CAS).Methods: PubMed, Web of Science, Cochrane, and SCOPUS were searched for relevant articles. The quality assessment of the included studies was conducted according to the Cochrane Risk of Bias Tool.Results: Our meta-analysis included six articles. We found that carotid DUS could detect mild CAS in 25%, moderate CAS in 13%, severe CAS in 14.5% of the examined vessels, detection of carotid artery plaques in 36.5% of the examined vessels, and abnormal intima thickness in 21.5% of the examined vessels.Conclusion: DUS is an important exam in the identification of patients with symptomatic CAS. It can improve clinical practice and provide cost-effective management for CAS. Carotid DUS showed high specificity and sensitivity in the diagnosis of CAS, especially a severe degree of stenosis

Construction and validation of a nomogram prediction model for the catheter-related thrombosis risk of central venous access devices in patients with cancer: a prospective machine learning study.

Central venous access devices (CVADs) are integral to cancer treatment. However, catheter-related thrombosis (CRT) poses a considerable risk to patient safety. It interrupts treatment; delays therapy; prolongs hospitalisation; and increases the physical, psychological and financial burden of patients. Our study aims to construct and validate a predictive model for CRT risk in patients with cancer. It offers the possibility to identify independent risk factors for CRT and prevent CRT in patients with cancer. We prospectively followed patients with cancer and CVAD at Xiangya Hospital of Central South University from January 2021 to December 2022 until catheter removal. Patients with CRT who met the criteria were taken as the case group. Two patients with cancer but without CRT diagnosed in the same month that a patient with cancer and CRT was diagnosed were selected by using a random number table to form a control group. Data from patients with CVAD placement in Qinghai University Affiliated Hospital and Hainan Provincial People's Hospital (January 2023 to June 2023) were used for the external validation of the optimal model. The incidence rate of CRT in patients with cancer was 5.02% (539/10 736). Amongst different malignant tumour types, head and neck (9.66%), haematological (6.97%) and respiratory (6.58%) tumours had the highest risks. Amongst catheter types, haemodialysis (13.91%), central venous (8.39%) and peripherally inserted central (4.68%) catheters were associated with the highest risks. A total of 500 patients with CRT and 1000 without CRT participated in model construction and were randomly assigned to the training (n = 1050) or testing (n = 450) groups. We identified 11 independent risk factors, including age, catheterisation method, catheter valve, catheter material, infection, insertion history, D-dimer concentration, operation history, anaemia, diabetes and targeted drugs. The logistic regression model had the best discriminative ability amongst the three models. It had an area under the curve (AUC) of 0.868 (0.846-0.890) for the training group. The external validation AUC was 0.708 (0.618-0.797). The calibration curve of the nomogram model was consistent with the ideal curve. Moreover, the Hosmer-Lemeshow test showed a good fit (P > 0.05) and high net benefit value for the clinical decision curve. The nomogram model constructed in this study can predict the risk of CRT in patients with cancer. It can help in the early identification and screening of patients at high risk of cancer CRT.

Measurable residual disease monitoring in AML with FLT3-ITD treated with intensive chemotherapy plus midostaurin

AbstractMeasurable residual disease (MRD) monitoring in acute myeloid leukemia (AML) with an FLT3 internal tandem duplication (FLT3-ITDpos]) has been hampered by the broad heterogeneity of ITD mutations. Using our recently developed FLT3-ITD paired-end next-generation sequencing (NGS)–based MRD assay with a limit of detection of 10−4 to 10−5, we evaluated the prognostic impact of MRD at different time points in 157 patients with FLT3-ITDpos AML who were enrolled in the AMLSG16-10 trial and who were treated with a combination of intensive chemotherapy and midostaurin, followed by midostaurin maintenance. Achievement of MRD negativity (MRDneg) after 2 cycles of chemotherapy (Cy2), which was observed in 111 of 142 (78%) patients, was predictive of superior 4-year rates of cumulative incidence of relapse (CIR) (4y-CIR; 26% vs 46%; P = .001) and overall survival (OS) (4y-OS; 70% vs 44%; P = .012). This survival advantage was also seen among patients who underwent allogeneic hematopoietic-cell transplantation during first complete remission (4y-CIR, 14% vs 39%; P = .001; 4y-OS, 71% vs 49%; P = .029). Multivariate models for CIR and OS after Cy2 revealed FLT3-ITD MRDneg as the only consistent favorable variable for CIR (hazard ratio [HR], 0.29; P = .006) and OS (HR, 0.39; P = .018). An NPM1 co-mutation correlated with a deeper molecular response as reflected by stronger MRD reduction and a higher rate of FLT3-ITD MRDneg after Cy2. During follow-up, conversion from MRDneg to MRDpos was a strong, independent factor for inferior CIR (HR, 16.64; P < .001) and OS (HR, 4.05; P < .001). NGS-based FLT3-ITD MRD monitoring allows for the identification of patients at high risk for relapse and death following treatment with intensive chemotherapy and midostaurin. Using NGS-based technology, FLT3-ITD emerges as a novel, highly clinically relevant target for MRD monitoring. This trial was registered at www.ClinicalTrials.gov as #NCT01477606.

B-242 Improved Patient Satisfaction With Novel Capillary Blood Collection Devices as an Alternative to Venipuncture for Applications in Clinical Proteomic Assays

Abstract Background Two new clinical diagnostic tests are available that aid in the identification of lung nodules as likely malignant or likely benign. One test is an ELISA that measures the levels of seven autoantibodies to tumor-associated antigens that aids in the identification of patients with likely malignant lung nodules who may benefit from timely intervention. The other is an LC-MS/MS-based (MRM) test that measures the ratio of two proteins (LG3BP and C163A) combined with several clinical and radiological factors to aid in the identification of patients with likely benign lung nodules who may benefit from additional CT surveillance. Since commercialization, we have found that test access may be improved by providing alternatives to traditional venipuncture. Therefore, we conducted evaluation studies with two novel non-fingerstick capillary blood collection devices. These devices puncture the skin by utilizing either microneedles (Device A) or a lancet (Device B) for capillary blood collection. Methods Blood specimens were collected from consented donors using one of the two capillary blood collection devices and by venipuncture into K2EDTA blood collection tubes. Feedback was also solicited from the healthcare professionals and donors via a standard questionnaire. The whole blood specimens were shipped to the testing laboratory where the samples were processed according to the respective clinical assay workflows. Feasibility testing for the ELISA-based assay was conducted with both devices using normal healthy donor specimens (105 donors for Device A and 43 for Device B). Clinical evaluation was executed utilizing only Device B (77 donors with lung cancer and 13 with an indeterminate lung nodule). Feasibility testing for the LC-MS/MS-based assay was conducted with both devices using healthy donor specimens (103 donors for Device A and 41 for Device B), while clinical evaluation utilized only Device B (80 donors with lung cancer and 30 with an indeterminate lung nodule). Results Both capillary blood collection devices revealed good correlations to venous blood draws for the ELISA-based test during feasibility. The two devices also showed good correlations for the LC-MS/MS-based test, with the results from Device A requiring a correction factor. Due to technical and operational challenges throughout feasibility, Device B became the preferred device to be evaluated for the clinical study. Good correlations for both diagnostic tests were observed from the clinical study. During clinical evaluation, healthcare professionals and donors were asked to rate the ease-of-use, pain, and speed of collection when using Device B. Most healthcare professionals (108/126) rated the device as easy to use. Ninety-five percent of the donors reported minimal pain while the remainder reported moderate pain. Ninety-one percent of the donors felt that the time required to collect blood using Device B was acceptable. Sixty percent of the donors preferred the capillary collection device (Device B), 17% preferred venipuncture, while 23% reported no preference for blood collection. Conclusions The novel capillary blood collection devices demonstrated high correlations for two clinical diagnostic tests. Feedback collected from healthcare professionals and donors revealed that the majority preferred the capillary blood collection device as compared to traditional venipuncture for blood collection.

A-261 Outcome of a survey on dengue lateral flow immunoassay test kit reading and interpretation by medical laboratory staff in a hospital laboratory

Abstract Background Lateral flow immunoassay (LFIA) tests, first introduced in 1959, are now the mainstay of clinical laboratories. Khoo Teck Puat Hospital (KTPH) is a 795-bed acute care general hospital located in the north of Singapore. The Department of Laboratory Medicine has been using dengue LFIA test kits for the detection of dengue NS1 antigen, IgM antibodies and IgG antibodies. While kits are cost-effective, user-friendly and provide rapid results, there is subjectivity in reading and interpretation of results. Methods We conducted a survey to assess test reading and interpretation by medical laboratory staff. Six serum and plasma specimens were analysed using Bioline™ Dengue IgG/IgM WB test device. Test kits at the end-point of sample incubation were photographed in both well-lit and dim conditions. A survey questionnaire was prepared using an online form builder tool using the photographs. Staff were invited to participate in the survey. They were allowed to report the result as ‘Positive’, ‘Negative’ or ‘Equivocal’. Results A total of sixteen responses were received. Results were 100% concordant for all 6 specimens in both well-lit and dim conditions. For one case, under a well-lit condition, 15 staff reported the result as ‘Positive’ while one staff reported ‘Equivocal’. Most of the reported results for samples with no consensus is split between ‘Positive’ and ‘Equivocal’. Conclusions Dengue viruses of all 4 known serotypes are endemic in Singapore. Positive results are tracked on a national level to identify areas of high dengue infection for intensive environmental and vector control measures. Hence, accurate reporting and identification of patients with dengue infection is important. Our survey shows that lighting conditions do not affect the interpretation of LFIA results. Reading and interpretation of dengue LFIA test kits however, remain dependent on user interpretation and newer test kits with optical readers may be useful in mitigating this.

Platelet-to-Lymphocyte Ratio as a Potential Diagnostic Marker for Acute Coronary Syndromes in Resource-Limited Settings: A Cross-Sectional Study from Single Center in Banten, Indonesia

Background: Acute coronary syndrome (ACS) poses a significant global health burden, particularly in resource-limited settings where access to advanced diagnostic tools is often constrained. The platelet-to-lymphocyte ratio (PLR), a simple and readily available marker from routine blood tests, has shown promise as a potential diagnostic tool for ACS. This study aimed to evaluate the diagnostic accuracy of PLR in identifying ACS patients in a resource-limited setting in Indonesia. Methods: A cross-sectional study was conducted at Hermina Periuk Hospital, Tangerang, Banten, Indonesia, between December 2020 and December 2022. Patients presenting to the Emergency Room with a diagnosis of ACS were included. PLR was calculated from complete blood count data, and cardiac troponin I (cTnI) served as the gold standard for ACS diagnosis. The diagnostic performance of PLR in predicting elevated cTnI levels was assessed. Results: Of the 121 patients initially identified, 39 met the inclusion and exclusion criteria. Elevated PLR values (&gt;116) were observed in 25 patients (64.1%), while 15 patients (38.5%) had elevated cTnI levels. A statistically significant correlation was found between elevated PLR and elevated cTnI (p = 0.018). No significant association was observed between neutrophil-to-lymphocyte ratio (NLR) and elevated cTnI. Conclusion: PLR demonstrates potential as a diagnostic marker for ACS in resource-limited settings. Its simplicity, accessibility, and cost-effectiveness make it a valuable tool for early identification and risk stratification of ACS patients, particularly in areas with limited access to advanced cardiac diagnostics.

Prognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study

BackgroundUpper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality worldwide. This study investigates the use of residual variables and machine learning (ML) models for predicting major bleeding in patients with severe UGIB after their first intensive care unit (ICU) admission. MethodsThe Medical Information Mart for Intensive Care IV and eICU databases were used. Conventional ML and long short-term memory models were constructed using pre-ICU and ICU admission day data to predict the recurrence of major gastrointestinal bleeding. In the models, residual data were utilized by subtracting the normal range from the test result. The models included eight algorithms. Shapley additive explanations and saliency maps were used for feature interpretability. ResultsTwenty-five ML models were developed using data from 2604 patients. The light gradient-boosting machine algorithm model using pre-ICU admission residual data outperformed other models that used test results directly, with an AUC of 0.96. The key factors included aspartate aminotransferase, blood urea nitrogen, albumin, length of ICU admission, and respiratory rate. ConclusionsML models using residuals improved the accuracy and interpretability in predicting major bleeding during ICU admission in patients with UGIB. These interpretable features may facilitate the early identification and management of high-risk patients, thereby improving hemodynamic stability and outcomes.

Factors related to cardiac rupture after acute myocardial infarction.

Cardiac rupture (CR) after acute myocardial infarction (AMI) is a fatal mechanical complication. The early identification of factors related to CR in high-risk cases may reduce mortality. The purpose of our study was to discover relevant risk factors for CR after AMI and in-hospital mortality from CR. In this study, we enrolled 1,699 AMI cases from October 2013 to May 2020. A total of 51 cases were diagnosed with CR. Clinical diagnostic information was recorded and analyzed retrospectively. We randomly matched these cases with AMI patients without CR in a 1:4 ratio. Univariate and multivariate logistic regression and stratifying analysis were used to identify risk factors for CR. Univariate and multivariate Cox regression hazard analysis and stratifying analysis were used to assess predictors of in-hospital mortality from CR. The incidence of CR after AMI was 3.0% and in-hospital mortality was approximately 57%. Multivariate logistic regression analysis identified that white blood cell count, neutrophil percentage, anterior myocardial infarction, a Killip class of >II, and albumin level were independently associated with CR (p < 0.05). Stratifying analysis showed that age, systolic blood pressure, and bicarbonate were independent risk factors for female CR (p < 0.05) but not male CR. Triglyceride and cardiac troponin I were independent risk factors for male CR (p < 0.05) but not female CR. Anterior myocardial infarction, a Killip class of >II, and neutrophil percentage were independent risk factors for male and female CR (p < 0.05). Multivariate Cox regression analysis showed that the time from symptom to CR and the site of CR were independent predictors for in-hospital mortality from CR (p < 0.05). Stratification analysis indicated that risk factors did not differ based on gender, but platelet counts were predictors for in-hospital mortality in female and male CR. Low albumin, a high white blood cell count, neutrophil percentage, anterior myocardial infarction, and a Killip class of >II were independent and significant predictors for CR. However, risk factors are different in male and female CR. The time from symptom to CR, the site of CR, and platelet counts were independent predictors for in-hospital mortality from CR. These may be helpful in the early and accurate identification of high-risk patients with CR and the assessment of prognosis. In addition, gender differences should be considered.

Systematic review of clinical prediction models for psychosis in individuals meeting At Risk Mental State criteria.

This study aims to review studies developing or validating a prediction model for transition to psychosis in individuals meeting At Risk Mental State (ARMS) criteria focussing on predictors that can be obtained as part of standard clinical practice. Prediction of transition is crucial to facilitating identification of patients who would benefit from cognitive behavioural therapy and, conversely, those that would benefit from less costly and less-intensive regular mental state monitoring. The review aims to determine whether prediction models rated as low risk of bias exist and, if not, what further research is needed within the field. Bibliographic databases (PsycINFO, Medline, EMBASE, CINAHL) were searched using index terms relating to the clinical field and prognosis from 1994, the initial year of the first prospective study using ARMS criteria, to July 2024. Screening of titles, abstracts, and subsequently full texts was conducted by two reviewers independently using predefined criteria. Study quality was assessed using the Prediction model Risk Of Bias ASessment Tool (PROBAST). Studies in any setting were included. The primary outcome for the review was the identification of prediction models considering transition risk and a summary of their risk of bias. Forty-eight unique prediction models considering risk of transition to psychosis were identified. Variables found to be consistently important when predicting transition were age, gender, global functioning score, trait vulnerability, and unusual thought content. PROBAST criteria categorised four unique prediction models as having an overall low-risk bias. Other studies were insufficiently powered for the number of candidate predictors or lacking enough information to draw a conclusion regarding risk of bias. Two of the 48 identified prediction models were developed using current best practice statistical methodology, validated their model in independent data, and presented low risk of bias overall in line with the PROBAST guidelines. Any new prediction model built to evaluate the risk of transition to psychosis in people meeting ARMS criteria should be informed by the latest statistical methodology and adhere to the TRIPOD reporting guidelines to ensure that clinical practice is informed by the best possible evidence. External validation of such models should be carefully planned particularly considering generalisation across different countries. https://www.crd.york.ac.uk/PROSPEROFILES/108488_PROTOCOL_20191127.pdf, identifier CRD42018108488.

A-179 Improving specimen labeling errors in the pediatric emergency department at a tertiary care hospital

Abstract Background Specimen labeling errors, such as unlabeled, mislabeled, or sample-requisition mismatches, pose risks to patient care. Correcting these errors, particularly for pediatric patients, is crucial to avoid unnecessary stress to the family and time spent on follow-up. In 2018, the BCCH Emergency Department (ED) reported the highest labeling error rates among all departments at our tertiary care hospital, accounting for approximately 30% of all errors. Methods To address this issue, a quality improvement project following the Model for Improvement framework was initiated in 2019 at the ED. An interdisciplinary team approach was adopted initially, and a positive patient identification system (PPID) was implemented later in February 2022. Patient Safety Learning System (PSLS) data from January 2019 to November 2023 were analyzed to evaluate the impact of these interventions. Results 1763 (22.6%) of the 7802 PSLS events recorded during this period were sample labeling errors. Ward collections accounted for the majority of labeling errors compared to laboratory collections (20.3% vs 2.4%). In the ED, most of the labeling errors occurred with unspecified samples (25%), swabs (24%), urine (23%), and blood culture (19%). The interdisciplinary team intervention initially reduced labeling errors, but its impact was inconsistent. However, the implementation of PPID in 2022 led to a significant and consistent decrease in labeling errors in the ED (4.51 errors/month vs 1.14 errors/month; p = 0.01) (Figure. 1). Conclusions While the implementation of PPID has notably improved labeling errors in the ED, complete elimination remains challenging. In addition, more specific PSLS filing categories are needed to capture sources of labeling error from unspecified samples. Continued efforts are necessary to achieve the goal of zero labeling errors.

A-186 Patient Safety Rite in Diagnostic Services

Abstract Background Safety rites are well defined in hospitals, but still incipient in diagnostic services. They aim to identify near misses early, promote discussions and improvements with teams related to adverse incidents. This study presents the implementation of the Safety Rite in a large diagnostic service in Brazil, with its challenges and results. Methods Gemba Walk (GW), a practice of the Lean philosophy of checking operation processes, encouraging and collaborating between teams, in addition to identifying opportunities for improvement and enabling immediate decision-making. The laboratory created its own methodology called GW-MDU, which consists of a daily checklist of questions related to processes, efficiency and results. The GW begins with a visit by the leadership, or designated person, to all sectors, answering the checklist and evaluating the need for immediate actions and action plans, with registration in an application (APP). In January 2024, the Patient Quality and Safety System (SGQSP) included questions related to the WHO (World Health Organization) safety goals in the GW: 1. Did patient identification occur without complications/identification failures at all stages of the process? 2. Was there contrast extravasation? 3. Was there allergic reactions? 4. Was there an incorrect or change administration of medication or vaccine? 5. After the end of sedation(anestesia), was there a need to extend the recovery time? 6. Was there a patient fall? 7. Was there a puncture that resulted in a hematoma? 7. Was there an adverse event that required medical action? Every “No” answer to question 1 and “Yes” to questions 2 to 7, the leader must guarantee registration of the QMS, root cause analysis and action plan. After the GW, leadership conducts the Obeya Rite daily, including the Safety Rite, with analysis of the indicators and findings identified during the round.The Safety Rite methodology was tested in a Laboratory Unit where radiology and imaging diagnostic tests, hormonal tests and sample collection for clinical analysis are carried out. After the test, interviews were realized with the leaders to evaluate the application of the Rite. Improvements were implemented and later rolled out to the other Units. Results The Patient Safety Rite was implemented in 646 Laboratory Units, representing 35 brands of the laboratory group. From 12/20/23 to 02/15/24, 18,614 GW were carried out, of this total, for question 1, 82.7% answered “Yes”, 9% answered “No” and 8.3% answered No Applicable. For answers 2 to 7, 1.5% answered “Yes”, 48.2% answered “No” and 50.3% answered Not Applicable. A total of 40.264 incidents were opened in the QMS, 6.4% of which were related to Rite questions. Conclusions The rites consolidate indicators and information, allow the identification of risks and/or events proactively and help define and disseminate corrective actions and improvements in a timely manner to avoid recurrence. However, due to the high rate of “not applicable” responses, we still have challenges and opportunities in implementation, but the correctly used Safety Rite contributes to patient safety.

Identification of NET formation and the renoprotective effect of degraded NETs in lupus nephritis.

To explore molecular biomarkers associated with the pathophysiology and therapy of lupus nephritis (LN), we conducted a joint analysis of transcriptomic data from 40 peripheral blood mononuclear cells (PBMCs) (GSE81622) and 21 kidney samples (GSE112943) from the Gene Expression Omnibus database using bioinformatics. A total of 976 and 2,427 differentially expressed genes (DEGs) were identified in PBMCs and renal tissues. Seven and two functional modules closely related to LN were identified. Further enrichment analysis revealed that the neutrophil activation pathway was highly active in both PBMCs and the kidney. Subsequently, 16 core genes closely associated with LN were verified by protein-protein interaction screening and quantitative PCR. In vitro cell models and MRL/lpr mouse models confirmed that the abnormal expression of these core genes was closely linked to neutrophil extracellular traps (NETs) generated by neutrophil activation, while degradation of NETs led to downregulation of core gene expression, thereby improving pathological symptoms of LN. Therefore, identification of patients with systemic lupus erythematosus exhibiting abnormal expression patterns for these core genes may serve as a useful indicator for kidney involvement. In addition, targeting neutrophils to modulate their activation levels and inhibit aberrant expression of these genes represents a potential therapeutic strategy for treating LN. NEW & NOTEWORTHY The mechanisms by which immune cells cause kidney injury in lupus nephritis are poorly understood. We integrated and analyzed the transcriptomic features of PBMCs and renal tissues from the GEO database to identify key molecular markers associated with neutrophil activation. We confirmed that neutrophil extracellular traps (NETs) formed by neutrophil activation promoted the upregulation of key genes in cell and animal models. Targeted degradation of NETs significantly ameliorated kidney injury in MRL/lpr mice.