Failure In Elderly Patients Research Articles

Cardiac magnetic resonance T1 imaging for the diagnosis of cardiac amyloidosis among patients with symptomatic heart failure

Abstract Background Cardiac amyloidosis (CA) is a significant cause of heart failure in elderly patients. However, specific signs in cardiac imaging are lacking, hence bone scintigraphy in combination with screening for monoclonal protein, or myocardial biopsy is required for the diagnosis. Cardiac magnetic resonance (CMR) imaging with T1 mapping is a promising diagnostic tool, which may allow to differentiate causes of left ventricular (LV) hypertrophy, particularly CA. Purpose The aim of this study was to test the diagnostic accuracy of T1 mapping for the diagnosis of CA in elderly patients with symptomatic heart failure and red flags for CA. Methods We prospectively enrolled 120 patients aged above 60 years with symptomatic heart failure NYHA II-IV, LV ejection fraction ≥ 40%, increased LV wall thickness of ≥ 12 mm end-diastolic on echocardiography, and elevated cardiac biomarkers (N-terminal pro-B-type natriuretic peptide (NT-proBNP) ≥ 1,000 ng/L, high-sensitivity cardiac troponin T (hs-cTnT) ≥ 14 ng/L). All patients underwent standardized quantitative CMR with a 3.0T scanner. 99mTc-DPD bone scintigraphy, blood screening for monoclonal protein, and, where applicable, cardiac biopsy, were performed as reference methods in all patients. Primary endpoint was diagnostic accuracy of native T1 mapping for the diagnosis of CA. Results 112 patients were included in the final analysis. Median age was 81.0 years (interquartile range 74.0–85.0 years), and 45% were female. CA was diagnosed in 38 patients (34%), of which 32 suffered from a Transthyretin (ATTR) and 6 patients from light chain (AL) amyloidosis. The areas under the receiver operating characteristic curves for native T1 were 0.713, 0.772, 0.836 for global, septal short-axis (SAX), and septal 4-chamber (4Ch) view measurements. The corresponding value of extracellular volume fraction (ECV) was 0.904 (Figure 1). Based on these results, we developed a new diagnostic algorithm for the diagnosis of CA including T1 septal 4Ch and ECV, with a sensitivity and positive predictive value of both 92.9% and a specificity and negative predictive value of 95.8% (Figure 2). Thereby, contrast application can be avoided in 33% of patients. A definite diagnosis could be provided in 81%. Conclusion CMR with T1 imaging provides a high diagnostic accuracy to diagnose CA in patients with symptomatic heart failure at risk for CA. These data may help to identify underlying causes in heart failure which require specific treatment. An earlier diagnosis of CA may improve outcome of these patients.Figure 1Figure 2

Weaning Failure in Elderly Patients: A Systematic Review and Meta-Analysis.

Background/Objectives: Weaning failure in elderly patients undergoing mechanical ventilation presents a complex clinical challenge due to age-related physiological changes and comorbidities. Understanding the dynamics of this phenomenon through systematic analysis can provide valuable insights for clinical management. This meta-analysis aims to investigate the factors contributing to weaning failure in elderly patients and to assess the efficacy of different strategies in mitigating this challenge. Design: The design of this study is a systematic review and meta-analysis. Methods: A systematic search of electronic databases was conducted to identify relevant studies focusing on weaning failure in elderly patients. Studies reporting outcomes related to mechanical ventilation weaning failure were included. Data extraction, quality assessment, and statistical analysis were performed following established guidelines. Results: A total of 15 studies met the inclusion criteria and were included in the meta-analysis. The average age of participants throughout the studies was 66.24 ± 10.21 years. This suggests that the study population largely consisted of older adults and displayed a moderate range of ages centered around the mean. The rate of weaning failure across these studies was slightly above 31.56%, indicating a significant occurrence of this complication in the patient cohorts. The analysis revealed age-related physiological changes, such as decreased respiratory muscle strength and increased chest wall stiffness, as significant contributors to weaning failure in elderly patients. Comorbidities, including chronic pulmonary diseases and cardiovascular conditions, further exacerbated the challenge. Various interventions, including tailored weaning protocols and respiratory therapies, showed promising results in improving weaning outcomes in this population. Conclusions: Weaning failure in elderly patients undergoing mechanical ventilation is influenced by a combination of age-related physiological changes and comorbidities. Tailored interventions addressing these factors are essential for optimizing weaning success rates in this vulnerable population. Further research is warranted to refine the strategies and enhance outcomes in elderly patients requiring mechanical ventilation.

Histopathological and Immunohistochemical Characteristics of Different Types of Cardiac Amyloidosis.

Cardiac involvement is the most important factor determining prognosis in patients with systemic amyloidosis. This retrospective observational study of 98 patients with amyloidosis was undertaken to assess the amyloid types that are most likely to affect the heart, describe histopathological and clinical features of cardiac amyloidosis, and estimate the number of cases not diagnosed clinically prior to death. All cases were divided into two groups based on the method of examination. The first group included 46 patients with cardiac amyloidosis revealed via endomyocardial biopsies (EMBs), and the second group included 52 amyloidosis patients who did not undergo EMBs, in whom cardiac involvement was identified only at autopsy. The EMBs demonstrated that AL amyloidosis was detected in 21 (46%) specimens, ATTR amyloid in 24 cases (52%), and AA amyloid in 1 case (2%). The autopsy reports defined 15 (46%) cases of AL amyloidosis, 21 (40%) of ATTR and 16 (31%) of AA amyloidosis. It should be noted that a clinical diagnosis of ATTR amyloidosis was made only in 9.5% of patients from the autopsy group, suggesting that ATTR may be an underdiagnosed cause of heart failure in elderly patients. The most intense amyloid deposits were determined in biopsy and autopsy specimens of patients with AL kappa amyloidosis, underlying a poorer prognosis.

LDH and NLR, as inflammatory markers, the independent risk factors for COVID-19 complicated with respiratory failure in elderly patients.

Lactate dehydrogenase (LDH) is an enzyme that is responsible for the production of lactic acid, which is a necessary byproduct when the body does not have enough oxygen. LDH levels in the blood can be used as a marker to predict mortality in patients with ARDS, severe COVID-19, and cancer. To analyze the clinical characteristics of COVID-19 in the elderly and the correlation between LDH and respiratory failure in COVID-19 patients, to improve the identification and management of this type of pneumonia by clinicians. This was a single-center retrospective study. We performed routine laboratory tests in 105 COVID-19 patients admitted to the affiliated hospital of Qingdao University (Qingdao, China) from October 1, 2022 to February 1, 2023. The diagnosis of respiratory failure was established based on the results of blood gas analysis upon admission. The median age was 79 years. Among all univariable parameters, LDH, neutrophil to lymphocyte ratio (NLR) and Prothrombin Time (PT) were significantly independent risk factors of RF in elderly COVID-19 patients. LDH (AUC=0.829) also had a maximum specificity (96.5%), with the cutoff value of 280.5. The levels of LDH, NLR, and PT may serve as potential indicators for elderly COVID-19 patients combined with respiratory failure. LDH, NLR and PT assays can be beneficial for patients who need closer respiratory monitoring and more aggressive supportive care to prevent a negative prognosis.

Clinical effect of recombinant human brain natriuretic peptide in the treatment of heart failure in elderly patients

BackgroundHeart failure in elderly individuals poses significant challenges due to the decline in cardiac function associated with aging. This study aimed to investigate the clinical efficacy of recombinant human brain natriuretic peptide (rhBNP) for the treatment of heart failure, especially in elderly patients.MethodsThis was a retrospective case control study of the medical records of 60 elderly patients with heart failure admitted to our hospital between December 2020 and December 2023. Patients were divided into two groups based on treatment. The control group (n = 30) received diuretics, digitalis, and β receptor blockers, while the observation group (n = 30) received lyophilized rhBNP in addition to the control group treatment. Changes in BNP levels and clinical outcomes were compared between the two groups.ResultsPosttreatment BNP levels were significantly lower in the observation group than in the control group (p < 0.05), and the total clinical effective rate was greater in the observation group (p < 0.05). Additionally, the left ventricular diameter, left atrial diameter, left ventricular shortening fraction, diastolic flow signal and cardiac output in the observation group were lower than those in the control group (p < 0.05), while the thickness of the aortic root diameter in the observation group was greater than that in the control group (p < 0.05).ConclusionRhBNP demonstrated ideal clinical efficacy in elderly patients with heart failure, improving symptoms and indicating potential for widespread use in the future.

Developing a prediction model for preoperative acute heart failure in elderly hip fracture patients: a retrospective analysis

BackgroundHip fractures in the elderly are a common traumatic injury. Due to factors such as age and underlying diseases, these patients exhibit a high incidence of acute heart failure prior to surgery, severely impacting surgical outcomes and prognosis.ObjectiveThis study aims to explore the potential risk factors for acute heart failure before surgery in elderly patients with hip fractures and to establish an effective clinical prediction model.MethodsThis study employed a retrospective cohort study design and collected baseline and preoperative variables of elderly patients with hip fractures. Strict inclusion and exclusion criteria were adopted to ensure sample consistency. Statistical analyses were carried out using SPSS 24.0 and R software. A prediction model was developed using least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression. The accuracy of the model was evaluated by analyzing the area under the receiver operating characteristic (ROC) curve (AUC) and a calibration curve was plotted to assess the model’s calibration.ResultsBetween 2018 and 2019, 1962 elderly fracture patients were included in the study. After filtering, 1273 were analyzed. Approximately 25.7% of the patients experienced acute heart failure preoperatively. Through LASSO and logistic regression analyses, predictors for preoperative acute heart failure in elderly patients with hip fractures were identified as Gender was male (OR = 0.529, 95% CI: 0.381–0.734, P < 0.001), Age (OR = 1.760, 95% CI: 1.251–2.479, P = 0.001), Coronary Heart Disease (OR = 1.977, 95% CI: 1.454–2.687, P < 0.001), Chronic Obstructive Pulmonary Disease (COPD) (OR = 2.484, 95% CI: 1.154–5.346, P = 0.020), Complications (OR = 1.516, 95% CI: 1.033–2.226, P = 0.033), Anemia (OR = 2.668, 95% CI: 1.850–3.847, P < 0.001), and Hypoalbuminemia (OR 2.442, 95% CI: 1.682–3.544, P < 0.001). The linear prediction model of acute heart failure was Logit(P) = -2.167–0.637×partial regression coefficient for Gender was male + 0.566×partial regression coefficient for Age + 0.682×partial regression coefficient for Coronary heart disease + 0.910×partial regression coefficient for COPD + 0.416×partial regression coefficient for Complications + 0.981×partial regression coefficient for Anemia + 0.893×partial regression coefficient for Hypoalbuminemia, and the nomogram prediction model was established. The AUC of the predictive model was 0.763, indicating good predictive performance. Decision curve analysis revealed that the prediction model offers the greatest net benefit when the threshold probability ranges from 4 to 62%.ConclusionThe prediction model we developed exhibits excellent accuracy in predicting the onset of acute heart failure preoperatively in elderly patients with hip fractures. It could potentially serve as an effective and useful clinical tool for physicians in conducting clinical assessments and individualized treatments.

Different characteristics between acute and delayed proximal junctional failure in elderly patients undergoing corrective surgery for adult spinal deformity: comparative analysis of risk factor, failure mode, and clinical consequences

Background contextWhile numerous studies have been conducted on proximal junctional failure (PJF), the clinical significance of acute and delayed PJF remains poorly understood. PurposeThe primary object of this study is to investigate the risk factors separately for acute and delayed PJF. Secondly, we aim to assess the incidence of each failure mode and their clinical consequences in relation to acute and delayed PJF. Study design/settingRetrospective comparative study. Patient samplePatients aged ≥60 years who underwent deformity correction with ≥5-level fusion to sacrum. Outcome measuresRisk factor, failure modes, and patient-reported outcome measure (PROM) MethodsAcute PJF is defined as PJF occurring within 6 months, while delayed PJF occurring after 6 months. Risk factors were analyzed by comparing various clinical and radiographic parameters among three groups: no, acute, and delayed PJF groups. The failure modes, including soft tissue failure, vertebral fracture, fixation failure, and myelopathy, were compared among these groups. The clinical subsequences after PJF development were evaluated by assessing the change in proximal junctional angle (PJA), revision rate, and patient-reported outcome measure (PROM). ResultsA study cohort of 363 patients was included in the analysis. Among them, 156 patients experienced PJF, with 87 patients (55.8%) in the acute PJF group and 69 patients (44.2%) in the delayed PJF group. Multivariate analyses showed that older age (Odds ratio [OR] = 1.057, 95% confidence interval [CI] = 1.002 – 1.118), osteoporosis (OR=2.149, 95% CI = 1.074 – 4.300), high American Society of Anesthesiology ASA score (OR=2.150, 95% CI = 1.089 – 4.245), and overcorrection relative to the age-adjusted pelvic incidence - lumbar lordosis target (OR=4.031, 95% CI = 1.962 – 8.280) were identified as risk factors for the development of acute PJF. On the other hand, a high body mass index (OR=1.150, 95% CI = 1.049 – 1.251) and an uppermost instrumented vertebra located at ≤ T10 (OR=2.267, 95% CI = 1.205 – 4.268) were found to be associated with delayed occurrence of PJF. No radiographic parameters were found to be related to the development of delayed PJF. In terms of failure modes, vertebral fracture and fixation failure were more commonly observed in acute PJF, while soft tissue failure and myelopathy were more predominant in delayed PJF. The clinical course was more aggressive in the acute PJF group compared to the delayed PJF group, as evidenced by a greater increase in PJA, a higher revision rate, and worse PROM. ConclusionsThis study demonstrated different risk factors between the acute and delayed PJF. It was found that overcorrection relative to the age-adjusted PI-LL target increased the risk of acute PJF, but had no impact on the development of delayed PJF. Therefore, a different surgical strategy needs to be established to mitigate both acute and delayed PJF.

Development and validation of a prediction model for hypoproteinemia after traumatic spinal cord injury: A multicenter retrospective clinical study.

A multicenter retrospective analysis of conventionally collected data. To identify the potential causes of hypoproteinemia after traumatic spinal cord injury (TSCI) and provide a diagnostic model for predicting an individual likelihood of developing hypoproteinemia. Hypoproteinemia is a complication of spinal cord injury (SCI), an independent risk factor for respiratory failure in elderly patients with SCI, and a predictor of outcomes in patients with cervical SCI. Few nomogram-based studies have used clinical indicators to predict the likelihood of hypoproteinemia following TSCI. This multicenter retrospective clinical analysis included patients with TSCI admitted to the First Affiliated Hospital of Guangxi Medical University, Wuzhou GongRen Hospital, and Dahua Yao Autonomous County People Hospital between 2016 and 2020. The data of patients from the First Affiliated Hospital of Guangxi Medical University were used as the training set, and those from the other 2 hospitals were used as the validation set. All patient histories, diagnostic procedures, and imaging findings were recorded. To predict whether patients with TSCI may develop hypoproteinemia, a least absolute shrinkage and selection operator regression analysis was conducted to create a nomogram. The model was validated by analyzing the consequences using decision curve analysis, calibration curves, the C-index, and receiver operating characteristic curves. After excluding patients with missing data, 534 patients were included in this study. Male/female sex, age ≥ 60 years, cervical SCI, pneumonia, pleural effusion, urinary tract infection (UTI), hyponatremia, fever, hypotension, and tracheostomy were identified as independent risk factors of hypoalbuminemia. A simple and easy-to-replicate clinical prediction nomogram was constructed using these factors. The area under the curve was 0.728 in the training set and 0.881 in the validation set. The predictive power of the nomogram was satisfactory. Hypoalbuminemia after TSCI may be predicted using the risk factors of male/female sex, age ≥ 60 years, cervical SCI, pneumonia, pleural effusion, UTI, hyponatremia, fever, hypotension, and tracheostomy.

Predicting 1year readmission for heart failure: A comparative study of machine learning and the LACE index.

There is a lack of tools for accurately identifying the risk of readmission for heart failure in elderly patients with arrhythmia. The aim of this study was to establish and compare the performance of the LACE [length of stay ('L'), acute (emergent) admission ('A'), Charlson comorbidity index ('C') and visits to the emergency department during the previous 6months ('E')] index and machine learning in predicting 1 year readmission for heart failure in elderly patients with arrhythmia. Elderly patients with arrhythmia who were hospitalized at Sichuan Provincial People's Hospital between 1 June 2018 and 31 May 2020 were enrolled. The LACE index was calculated for each patient, and the area under the receiver operating characteristic curve (AUROC) was calculated. Six machine learning algorithms, combined with three variable selection methods and clinically relevant features available at the time of hospital discharge, were used to develop machine learning models. AUROC and area under the precision-recall curve (AUPRC) were used to assess discrimination. Shapley additive explanations (SHAP) analysis was used to explain the contributions of the features. A total of 523 patients were enrolled, and 108 patients experienced 1year hospital readmission for heart failure. The AUROC of the LACE index was 0.5886. The complete machine learning model had the best predictive performance, with an AUROC of 0.7571 and an AUPRC of 0.4096. The most important predictors for 1year readmission were educational level, total triiodothyronine (TT3), aspartate aminotransferase/alanine aminotransferase (AST/ALT), number of medications (NOM) and triglyceride (TG) level. Compared with the LACE index, the machine learning model can accurately identify the risk of 1year readmission for heart failure in elderly patients with arrhythmia.

Risk Factors of Postoperative Acute Heart Failure in Elderly Patients After Hip Fracture Surgery.

Background Postoperative acute heart failure (AHF) in elderly patients after hip fracture surgery is a common complication. Therefore, this study aimed to identify the risk factor of AHF after hip fracture surgery among the older population. Methods This retrospective cohort study was performed on 88 admitted patients whose hip fractures were fixed via internal fixation surgery in a tertiary care hospital in Rawalpindi, Pakistan, from January 2022 to March 2023. Recruitment of patients was made through established inclusion and exclusion criteria. Ethical approval and informed consent were also gained before the data collection. A self-designed form was used to collect data. Data analysis was carried out in the IBM SPSS Statistics for Windows, Version 25 (Released 2017; IBM Corp., Armonk, New York, United States). Both descriptive and inferential statistics were applied to compare the attributes of the patients with AHF and patients without AHF. Multivariate logistic regression was used to evaluate the association between the postoperative AHF and its potential risk factors. Results Out of 88 enrolled patients, 12 (13.64%) had developed postoperative AHF. Age ≥ 65 years (OR = 2.606, 95% CI = 1.035~4.160, p = 0.010), anemia (OR = 3.178, 95% CI = 1.847~5.990, p = 0.029), hypertension (OR = 2.019, 95% CI = 1.110~4.034, p = 0.012), diabetes mellitus (OR = 2.003, 95% CI = 1.115~4.012, p = 0.015), hypoalbuminemia (OR = 2.486, 95% CI = 1.218~4.619, p = 0.030), and operation time ≥ 120 minutes (OR = 1.702, 95% CI = 1.099~2.880, p = 0.018), were the risk factors of postoperative AHF in elderly patients after hip fracture surgery. Conclusions In the study population, the incidence of postoperative heart failure was significant and age ≥ 65 years, anemia, hypertension, diabetes mellitus, hypoalbuminemia, and operation time ≥ 120 were significantly involved in the development of it. Preoperative identification and management of AHF risk factors could lead to the prevention of postoperative complications.

A Study of Clinical Profile and Outcome of Acute Heart Failure in Elderly Patients

Heart failure (HF) is a common cardiovascular condition whose prevalence and incidence are increasing in the recent past. Heart Failure (HF) is predominantly a disorder of the elderly with rates increasing exponentially with time.

Risk factors and prognosis of perioperative acute heart failure in elderly patients with hip fracture: case-control studies and cohort study

BackgroundElderly patients with hip fracture who develop perioperative acute heart failure (AHF) have a poor prognosis. The aim of the present study is to investigate the potential risks of AHF in elderly hip-fracture patients in the postoperative period and to evaluate the prognostic significance of AHF.MethodsA retrospective analysis was conducted on hip fracture patients at the Third Hospital of Hebei Medical University, who were continuously in hospital from September 2018 to August 2020. To identify independent risk factors for AHF in elderly patients with hip fracture, univariate and multivariate Logistic regression analysis was employed. The Kaplan-Meier survival curve illustrated the relationship between all-cause mortality in the AHF and non-AHF groups. An assessment of the correlation between baseline factors and all-cause mortality was conducted by means of univariable and multivariable Cox proportional hazards analysis.ResultsWe eventually recruited 492 patients,318 of whom were in the AHF group. Statistical significance was found between the two groups for age group, concomitant coronary heart disease, COPD, haemoglobin level below 100 g/L on admission, albumin level below 40 g/L on admission, and increased intraoperative blood loss. Age over 75, concomitant coronary artery disease, hemoglobin level below 100 g/L and albumin level below 40 g/L on admission were independent risk factors for AHF in older hip fracture patients. The AHF group exhibited a higher incidence of perioperative complications, such as anemia, cardiovascular issues, and stress hyperglycemia, as well as all-cause mortality. Based on our COX regression analysis, we have identified that the main risk factors for all-cause mortality in AHF patients are concomitant coronary heart disease, absence of pulmonary infection, absence of diabetes, absence of cancer, and absence of urinary tract infection.ConclusionEnhancing hip fracture prevention for AHF is particularly important. It is crucial to make informed decisions to avoid poor prognoses. Patients whose age over 75 years old, concomitant coronary heart disease, hemoglobin < 100 g/L and album< 40 g/L on admission are more likely to develop perioperative AHF. To avert complications and potential fatalities, patients with AHF must receive appropriate care during the perioperative period.

Optimizing cardiac amyloidosis assessment: utility of 1-h and 3-h 99mTc-PYP imaging

BackgroundTransthyretin amyloid cardiomyopathy (ATTR-CM), characterized by the extracellular deposition of an insoluble amyloid protein in the heart, is one of the main causes of heart failure in elderly patients. In this study, our primary objective was to explore the diverse applications and temporal significance of 1-h and 3-h imaging using 99mTc-PYP in the context of ATTR-CM. Additionally, we compared tracer kinetics in the heart and bone to comprehensively assess the diagnostic advantages and time-related considerations associated with these two incubation periods.MethodsTwenty-seven patients at Nagasaki University Hospital who underwent 99mTc-PYP planar, and SPECT cardiac imaging were classified into two groups (ATTR-CM-positive and -negative groups) based on the American Heart Association statement. Cardiac retention was assessed with both a semiquantitative visual score and a quantitative analysis. To assess bone accumulation, a ROI with an equal volume was drawn on the sternum and calculated as the bone-to-contralateral ratio (B/CL). We also evaluated correlation between heart-to-contralateral lung (H/CL) ratio and left ventricular wall thickness.ResultsAmong patients who underwent 99mTc-PYP imaging, the H/CL ratio was significantly higher at 1 h than at 3 h regardless of the group (from 2.20 ± 0.36 to 1.99 ± 0.35, p < 0.01 in the positive group and from 1.35 ± 0.12 to 1.19 ± 0.21, p = 0.01 in the negative group). The gap of H/CL between highest H/CL of negative case and lowest H/CL of positive case was narrower in 3 h. On the other hand, correlation between H/CL and left ventricular posterior wall thickness tends to be clearer in 3 h (p = 0.12, r = 0.30 for 1 h, p = 0.04, r = 0.39 at 3 h).ConclusionOur study suggests that both 1-h and 3-h incubation times for 99mTc-PYP imaging have different benefits for ATTR cardiac amyloidosis. A one-hour incubation may be preferable for differential diagnostic purposes, while a three-hour incubation may provide greater utility in evaluating disease severity.

Development and validation of risk prediction nomograms for acute respiratory failure in elderly patients with hip fracture

BackgroundHip fractures in the elderly often lead to acute respiratory failure, but there is currently no tool to assess the prognosis of such patients. This study aims to develop a risk prediction model for respiratory failure in these patients.MethodsA retrospective cross-sectional study was conducted using the Medical Information Mart for Intensive Care (MIMIC)-IV database, incorporating data from 3,266 patients with hip fractures aged over 55 years from 2008 to 2019. Data included demographic information, laboratory indicators, comorbidities, and treatment methods. Patients were divided into a training group (70%) and a validation group (30%). Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to select prognostic predictors, and a visualized nomogram model was constructed using multivariate logistic regression analysis. Model performance and clinical applicability were assessed. Statistical analyses were done using R4.2.2, with P < 0.05 deemed significant.ResultsSeven key factors, including age, height, albumin, chloride, pneumonia, acute kidney injury (AKI), and heparin use, were associated with respiratory failure risk. The model demonstrated good performance with area under the curve (AUC) values of 0.77 and 0.73 in the training and validation sets, respectively. The calibration curve showed good agreement, and decision curve analysis (DCA) indicated the model's clinical benefit.ConclusionsThis risk prediction model can effectively predict respiratory failure in hip fracture patients, assisting clinicians in identifying high-risk individuals and providing evidence-based references for treatment strategies.

Abstract 11705: Events of Device Failure in Elderly Patients Undergoing Watchman Device Insertion in the United States

Introduction: Watchman device implant reduces various cardio-cerebral events in patients with left atrial appendage. As there is a lack of data on device failure among the elderly undergoing this procedure, we aim to provide a perspective via the 2016-2020 National Inpatient Sample(NIS). Methods: Watchman procedures in patients ages ≥60 years, with a history of atrial fibrillation or flutter, were examined for our study from the NIS. Events of device failure were considered, and variables that may influence such events were studied via logistic regression models. Results: We found 85190 procedures for Watchman device insertion conducted in the United States, and 510 (0.6%) cases reported an event of device failure. Procedures at rural centers reported higher odds of device failure than urban teaching centers (1.3% of rural center procedures vs. 0.6% of urban teaching hospital procedures, aOR 2.970, 95% CI 1.965 -4.488, p&lt;0.01). Meanwhile, patients with a history of CKD (aOR 0.565, p&lt;0.01), hypertension (aOR 0.500, p&lt;0.01), and peripheral vascular diseases (aOR 0.513, p=0.012) showed reduced odds. Several complications were also noted among those with device failure, as 20 cases (3.9% ) had acute kidney injury, 45 patients (8.8%) developed cardiac tamponade, 70 cases (13.7%) had pericardial effusion, and 20 cases (3.9%) necessitated mechanical ventilation. The mean CHA 2 DS 2 -VASc score among patients with device failure was 4.65 (vs. 4.68, p=0.029), and the mean Charlson Comorbidity Index score was 1.42 (vs 1.65, p&lt;0.01). Patients with device failure had a more expensive stay (mean hospital charge $144936 vs. $122504). Conclusions: Device failure was a rare but severe complication involving 0.6% of procedures in our analysis. Many comorbidities influenced events of device failure. As our study found a higher incidence among procedures done in rural centers, further studies to screen and assess the patients and monitor their condition may help improve the outcomes.

FRI694 Hypercalcemia And Renal Failure As Initial Presentation Of A Rare Case Of Primary Splenic Large B Cell Lymphoma

Abstract Disclosure: N. Ding: None. S.K. Majumdar: None. Background: Hypercalcemia can be seen in patients with malignancy. However, primary splenic large B cell lymphoma presenting with hypercalcemia and renal failure is rare. Clinical Case: A 75-year-old male with PMH of migraine headaches and hearing loss was sent to the hospital by his primary care doctor due to lab abnormalities, including hypercalcemia and renal failure. He also had abdominal pain, weakness, polyuria, and weight loss for several weeks. He took calcium 1000 mg and vitamin D 5000 units daily. Laboratory tests showed creatinine 2.8 (0.4-1.3) mg/dL, calcium 13.8 (8.8-10.2) mg/dL, ionized calcium 6.75 (4.6-5.08) mg/dL, phosphorus 3.6 (2.2-4.5) mg/dL, PTH 12.6 (15-65) pg/mL, PTHrP 23 (14-27) pg/mL, 25-hydroxy vitamin D 53 (30-100) ng/mL, 1,25-dihydroxy vitamin D 171 (18-72) ng/L, CTX collagen C-telopeptide 1137 pg/ml, SPEP without significant abnormality, UPEP with Bence-Jones proteinuria. Skeletal series showed no suspicious lesions, but MRI abdomen revealed an 11 cm splenic mass. Patient underwent splenectomy and pathology revealed diffuse large B-cell lymphoma. Following surgery, his hypercalcemia resolved without additional interventions. 1,25-dihydroxy vitamin D reduced to 25 ng/l and CTX reduced to 451 pg/ml. Further workup, including bone marrow biopsy and imaging, were negative. Patient was subsequently diagnosed with primary splenic large B cell lymphoma. He completed R-CHOP therapy and had no hypercalcemia in follow-up labs. Conclusion: Calcitriol-mediated hypercalcemia occurs in less than 1% of lymphomas, and primary splenic lymphoma constitutes less than 1% of non-Hodgkin lymphomas. The case represents an extremely rare etiology for hypercalcemia. Interestingly, elevated 1,25-dihydroxy vitamin D and hypercalcemia resolved after splenectomy. Clinicians should consider lymphoma as a potential cause of hypercalcemia and renal failure in elderly patients. Presentation: Friday, June 16, 2023

Ancylostomiosis Triggers Heart Failure (Case Study in Elderly Patients)

Anclyostomiasis is a disease caused by infection with the parasitic worms Anclyostoma duodenale or Necator americanus. Infection with these worms can occur through contact with soil contaminated with worm eggs or through consumption of contaminated food. The disease can cause serious health problems in humans, especially in the elderly population who have more vulnerable immune systems. One of the serious complications that can arise from anclyostomiasis infection is heart failure. The aim of this study was to investigate whether anclyostomiasis infection can lead to heart failure in elderly patients. This research used a case study approach. The data obtained was analyzed using a qualitative analysis approach. The results showed that based on case studies ancylostomiosis in the elderly can cause severe anemia accompanied by iron deficiency anemia and heart failure. Overall, ancylostomiosis cases have a good prognosis if they get fast and proper treatment. Ancylostomiosis can be prevented by implementing a clean and healthy lifestyle.

Acute heart failure in elderly patients admitted to the emergency department with acute dyspnea: a multimarker approach diagnostic study.

Diagnosing acute heart failure (AHF) is difficult in elderly patients presenting with acute dyspnea to the emergency department. To assess the diagnostic accuracy of NT-proBNP, high-sensitivity cardiac troponin-I (Hs-cTnI), soluble ST2 (ST2), galectin-3 and CD146 alone and in combination for diagnosing AHF in elderly patients presenting with acute dyspnea to the emergency department. This was a prospective, multicenter study performed between September 2016 and January 2020, including elderly patients presenting with acute dyspnea to the emergency department of 6 French hospitals. Measurement of NT-proBNP, hs-cTnI, ST2, galectin-3 and CD146. The reference standard, AHF, was adjudicated by two independent physicians based on ED and hospitalization clinical, biological (excluding biomarkers), radiological and echocardiography data (performed by a cardiologist in the cardiology department specifically for this study). Three exploratory methods (two using a cross-sectional approach with logistic regression and counting all biomarker combinations, and one using a sequential approach with gray zone optimizations) were applied to create comprehensive combinations of the 5 biomarkers for measuring diagnostic accuracy. Two hundred thirty-eight patients (median age of 85 years, IQR = 8) were analyzed, and 110 (46%) were diagnosed with AHF. The accuracies of NT-proBNP, CD146, hs-cTnI, galectin-3, and ST2 were 0.72 [95% confidence interval (CI) 0.66-0.77], 0.63 (95% CI 0.57-0.69), 0.59 (95% CI 0.53-0.65), 0.55 (95% CI 0.49-0.61) and 0.51 (95% CI 0.45-0.57), respectively. Regardless of the approach used or how the 5 biomarkers were combined, the best accuracy for diagnosing AHF (0.73, 95% CI 0.67-0.78) did not differ from that of NT-proBNP alone. In this study, NT-proBNP alone exhibited the best diagnostic accuracy for diagnosing AHF in elderly patients presenting with acute dyspnea to the emergency departments. None of the other biomarkers alone or combined improved the accuracy compared to NT-proBNP, which is the only biomarker to use in this setting.

Antibody response after third dose of COVID-19 mRNA vaccination in allogeneic hematopoietic stem cell transplant recipients is comparable to that in healthy counterparts.

To determine the efficacy of SARS-CoV-2 mRNA vaccination for allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients, we measured antibody titer serially in 92 allo-HSCT patients. Among the evaluable 87patients, median age at vaccination was 53years (range,18-75). The average time between allo-HSCT and vaccination was 3.3years (range,0.5-15.7). One month after the second dose, 70 patients (80.5%) had a positive response, whereas 17 patients (19.5%) had a negative response (< 20U/mL). Only patients older than 44 years hada negative response. Low IgM level was the only significant predictor of vaccine failure in elderly patients. When antibody response before and after the third vaccination was examined in 47 patients, antibodies increased significantly from a median of 18.3 U/mL to 312.6 U/mL (P < 0.01). The median antibody titer after the third vaccination of healthy individuals (n = 203) was 426.4 U/mL, which was comparable to that of patients (P = 0.2). The antibody titer after the third mRNA vaccination increased even in patients whose first two mRNA vaccinationsfailed. These findings suggest that allo-HSCT recipients should receive the mRNA vaccine regularly.

One-year readmissions for circulatory diseases and in-hospital mortality after an index episode of heart failure in elderly patients. A nationwide data from public hospitals in Spain between 2016 and 2018.

Heart failure (HF) is one of the leading causes of hospitalization and death in elderly patients. However, there is limited evidence on readmission and mortality 1-year after discharge for HF. Retrospective analysis of the Minimum Basic Data Set, including HF episodes, discharged from Spanish hospitals between 2016 and 2018 in ≥ 75years. We calculated: (a) the rate of readmissions due to circulatory system diseases (CSD) 365days after index episode; (b) in-hospital mortality in readmissions; and (c) predictors of mortality and readmission. We included 178,523 patients (59.2% women) aged 85.1 ± 5.5years. The most frequent comorbidities were arrhythmias (56.0%) and renal failure (39.5%). During the follow-up, 48,932 patients (27.4%) had at least one readmission for CSD and a crude rate of 40.2%, the most frequent one HF (52.8%). The median between the date of readmission and discharge from the last admission was 70days [IQI 24; 171] for the first readmission. The most relevant predictors of the number of readmissions were valvular heart disease and myocardial ischemia. During the readmissions, 26,757 patients (79.1%) died, representing a cumulative in-hospital mortality of 47,945 (26.9%). The factors in the index episode predictors of mortality during readmissions were cardio-respiratory failure and stroke. The number of readmissions was a risk factor for in-hospital mortality (OR 1.13; 95% CI 1.11-1.14). The readmission rate for CSD 1-year after the index episode of HF in patients ≥ 75years was 28.4%. The cumulative in-hospital mortality rate during the readmissions was 26.9%, and the number of rehospitalizations was identified as one of the main predictors of mortality.