Gender Differences in microRNA Expressions as Related to Long-Term Graft Function in Kidney Transplant Patients.

In recent studies, much has been discussed about biomarkers used in the evaluation of the transplanted graft function. However, there remains a lack of research regarding the long-term effects of microRNAs (miRNAs) on the different genders for kidney transplant (KTx) patients. In this study, we aim to assess the functions of miRNAs on long term outcomes of KTx patients by extracting differently expressed miRNAs between patients of normal graft function and graft dysfunction, while further analyzing their impact on the different genders. We analyzed the data of 40 patients who had received KTx for a period of more than ten years and included data regarding renal function, immuno-related markers and plasma miRNAs. Data were classified by gender for further studies. Twelve out of 17 females and 8 out of 23 males had undergone graft dysfunction. Renal function analysis showed significantly worse outcomes in the female patients. There were five differently expressed miRNAs between the female control group and female dysfunction group: miR-128-3p, miR-21-5p, miR-150-5p, miR-92a-3p and miR-15a-5p, and five between the male control group and male dysfunction group: miR-23a-3p, miR-126-3p, miR-142-3p, miR-223-3p and miR-26a-5p. Gender differences exist in incidences of kidney graft dysfunction, with male patients displaying better preservation in graft functions. Overall, these differently expressed miRNAs either enhance or suppress host immune responses. They can be predictive markers for graft survival and can also be important factors that lead to worse long term kidney graft function in females when compared to males.

Atomically thin half-van der Waals metals enabled by confinement heteroepitaxy.

Atomically thin two-dimensional (2D) metals may be key ingredients in next-generation quantum and optoelectronic devices. However, 2D metals must be stabilized against environmental degradation and integrated into heterostructure devices at the wafer scale. The high-energy interface between silicon carbide and epitaxial graphene provides an intriguing framework for stabilizing a diverse range of 2D metals. Here we demonstrate large-area, environmentally stable, single-crystal 2D gallium, indium and tin that are stabilized at the interface of epitaxial graphene and silicon carbide. The 2D metals are covalently bonded to SiC below but present a non-bonded interface to the graphene overlayer; that is, they are 'half van der Waals' metals with strong internal gradients in bonding character. These non-centrosymmetric 2D metals offer compelling opportunities for superconducting devices, topological phenomena and advanced optoelectronic properties. For example, the reported 2D Ga is a superconductor that combines six strongly coupled Ga-derived electron pockets with a large nearly free-electron Fermi surface that closely approaches the Dirac points of the graphene overlayer.

Evaluating the renal safety of tenofovir disoproxil fumarate in hepatitis B patients without chronic kidney disease.

The nephrotoxicity of tenofovir disoproxil fumarate (TDF) in chronic hepatitis B (CHB) patients without chronic kidney disease (CKD) remains controversial. We aimed to evaluate nephrotoxicity of TDF in this population. In this hospital-based cohort study, CHB patients who received either TDF or entecavir (ETV) therapy, and did not have underlying CKD, were retrospectively recruited from January, 2008 to January, 2019. After excluding those with confounding conditions, 257 TDF-treated patients were matched through propensity scores with 514 ETV-treated patients. Cumulative incidences of, and hazard ratios (HRs) for the CKD guideline-defined renal dysfunction, were analysed. The mean decline in glomerular filtration rate was similar over 60 months (TDF vs. ETV: 10.1 ml/min/1.73 m2 , 95% confidence interval [CI]: 7.4-12.7 vs. 8.0 ml/min/1.73 m2 , 95% CI: 6.4-9.6; p = .34). The 5-year cumulative incidence of renal dysfunction was not significantly different (TDF vs. ETV: 10.4%, 95% CI: 5.6-18.0 vs. 5.8%, 95% CI: 3.6-9.0; p = .18). However, in multivariable stratified analysis, TDF was associated with an increased risk of renal dysfunction in the elderly (age ≥60 years), when compared to ETV (HR 2.86, 95% CI: 1.02-8.01; p < .05). For confirming the effect of TDF amongst the elderly, 61 TDF-treated patients were further matched with 183 ETV-treated patients, with 5-year cumulative incidence of renal dysfunction being significantly higher in TDF users (TDF vs. ETV: 34.4%, 95% CI: 17.7-59.8 vs. 15.5%, 95% CI: 9.4-25.1; p < .05). TDF use was independently related to renal dysfunction (HR 2.71, 95% CI: 1.19-6.14; p < .05). Although TDF is generally safe for CHB patients without CKD, it is best to be avoided in the elderly.

Pneumococcal pneumonia in adult hospitalised solid organ transplant recipients: Nationwide, population-based surveillance.

BACKGROUND: Pneumococcal disease poses a burden to the community in high risk population. Most early studies focused on invasive pneumococcal disease. However, the epidemiology of pneumococcal pneumonia (PP) requiring hospitalisation in solid organ transplant recipients (SOTRs) is poorly defined. METHODS: We conducted a retrospective cohort study (January 1, 2000 and December 31, 2012) to evaluate the risk of PP requiring hospitalisation in SOTRs. SOTRs and non-SOT cohorts, propensity score-matched at a 1:1 ratio for age, sex, index date and underlying comorbidities, were identified from the National Health Insurance Research Database. RESULTS: Each cohort consisted of 7507 patients. In the SOT cohort, 26 episodes of PP requiring hospitalisation were identified (incidence rate of 52.4 per 100,000 person-years). The risk of PP requiring hospitalisation in the SOT cohort was 1.50 times greater than in the non-SOT cohort [adjusted hazard ratio: 1.50, 95% confidence interval = 1.31-1.71, P < .001]. The nested case control study identified older age, kidney transplant, and concomitant chronic obstructive pulmonary disease, chronic kidney disease and heart failure as predictors of PP requiring hospitalisation in the SOT cohort. The highest risk period for PP requiring hospitalisation occurred within the first year of transplantation (36.47 per 1000 patients). Amongst kidney transplant recipients, patients with PP requiring hospitalisation exhibited higher cumulative incidences of graft failure than those without PP (log-rank test: P value = .004). CONCLUSIONS: SOTRs are at risk of PP requiring hospitalisation with its attendant morbidity. Strategies to reduce risk of PP requiring hospitalisation using preventive vaccinations warrant further study.

Risk of severe herpes zoster infection in patients with polycystic kidney disease: A nation-wide cohort study with propensity score matching analysis.

BACKGROUND: Polycystic kidney disease (PKD) is suggested to be likely associated with underlying immunological dysregulation. This lymphopenia poses a risk of viral infection. Data to elucidate the herpes virus infection risk in patients with PKD are lacking; therefore, we conducted a national-wide population-based cohort study to investigate the herpes virus risk in PKD patients. METHODS: From the Taiwan National Health Insurance Research Database (NHIRD), patients who were hospitalised with a diagnosis of polycystic kidney disease were defined as case group of PKD patients; patients without any diagnosis of PKD during the study period were grouped into the non-PKD cohort. The index date was set as the date when the patients were newly diagnosed with PKD. All study patients were followed up until the occurrence of herpes zoster infection, death, withdrawal from the NHIRD for other reasons, or until December 31, 2013. RESULTS: We included 4366 PKD patients and 4366 non-PKD patients. The incidence rate and the risk of developing herpes zoster infection were estimated using multivariate stratified analyses. PKD patients had a 1.97-fold risk of herpes zoster virus infection (aHR = 1.97, 95% CI 1.17-3.31) compared with the non-PKD cohort. On multilayer stratification, PKD patients without any comorbidities had a significantly increased risk of herpes zoster infection (aHR = 3.10, 95% CI 1.37-7.00). CONCLUSION: This is the first study to reveal a high risk of severe herpes zoster infection in patients with PKD. High index suspicion of severe herpes zoster infection should be maintained in clinical professionals.

Treatment of chronic active antibody-mediated rejection in renal transplant recipients - a single center retrospective study.

BACKGROUND: Chronic active antibody-mediated rejection is a major etiology of graft loss in renal transplant recipients. However, there is no consensus on the optimal treatment strategies. METHODS: Computerized records from Taichung Veterans General Hospital were collected to identify renal transplant biopsies performed in the past 7 years with a diagnosis of chronic active antibody-mediated rejection. The patients were divided into two groups according to treatment strategy: Group 1 received aggressive treatment (double filtration plasmapheresis and one of the followings: rituximab, intravenous immunoglobulin, antithymogycte globulin, bortezomib, or methylprednisolone pulse therapy); and group 2 received supportive treatment. RESULTS: From February 2009 to December 2017, a total of 82 patients with biopsy-proven chronic antibody mediated rejection were identified. Kaplan-Meier analysis of death-censored graft survival showed a worse survival in group 2 (P = 0.015 by log-rank test). Adverse event-free survival was lower in group 1, whereas patient survival was not significantly different. Proteinuria and supportive treatment were independent risk factors for graft loss in multivariate analysis. CONCLUSIONS: Aggressive treatment was associated with better graft outcome. However, higher incidence of adverse events merit personalized treatment, especially for those with higher risk of infection. Appropriate prophylactic antibiotics are recommended for patients undergoing aggressive treatment.

Is combined peritoneal dialysis and hemodialysis redundant? A nationwide study from Taiwan.

BACKGROUND: Combined peritoneal dialysis (PD) and hemodialysis (HD) therapy (combined therapy) has numerous clinical benefits and should be emphasized for PD patients encountering technique failure. METHODS: This 12-year nationwide retrospective study was conducted to compare long-term outcomes (including admission and mortality risks) between combined therapy patients (combined group) and patients directly transferred from PD to HD (transfer group). RESULTS: All 12,407 incidental PD patients from 2000 to 2010 were enrolled and followed up until the end of 2011. A total of 688 patients in the combined group and 688 patients in the transfer group were selected after 1:1 frequency matching based on age, sex, and PD duration. The overall admission and mortality risks of the two groups were comparable in a Cox proportional hazards model (adjusted hazard ratio [HR] = 1.06 [95% confidence interval (CI) = 0.95-1.19] and 1.02 [95% CI = 0.80-1.30]), respectively). Compared with the transfer group, combined group patients with recent peritonitis or frequent hemodialysis (four HD sessions per month) had significantly higher risk of admission while combined group patients without peritonitis had significantly lower risk. The number of incidents in the combined group increased over time. On average, patients stayed on combined therapy for 2 years. CONCLUSIONS: Combined therapy (two HD sessions per month) is not redundant but a rational and cost-effective treatment, particularly for patients without recent peritonitis. Dialysis staff should be familiar with the advantages and disadvantages of combined therapy and consider it an essential part of integrated dialysis care.

Renal complications and subsequent mortality in acute critically ill patients without pre-existing renal disease.

BACKGROUND: Most studies of long-term renal outcomes after acute critical illness have enrolled patients with pre-existing renal dysfunction. We assessed renal outcomes in patients who did not have pre-existing renal disease and who were admitted to hospital for acute critical illness. METHODS: We identified adults who did not have pre-existing renal disease and who were admitted to hospital for acute critical illness between 2000 and 2011, from the Taiwan National Health Insurance Research Database. Each patient was matched 1:2 with controls without acute critical illness, according to age, sex and index date. A subset was further matched 1:1 with controls using propensity scores. Outcomes included acute kidney injury, chronic kidney disease and end-stage renal disease. RESULTS: We evaluated 33 613 patients with acute critical illness matched to 63 148 controls, of whom 14 218 were propensity matched to 14 218 controls. Patients with acute critical illness had incidence rates per 10 000 person-years of 9.45 for acute kidney injury, 78.3 for chronic kidney disease and 21.0 for end-stage renal disease. In the propensity-matched cohort, patients with acute critical illness had significantly higher risks of acute kidney injury (adjusted hazard ratio [aHR] 2.92, 95% confidence interval [CI] 1.78-4.77), chronic kidney disease (aHR 1.81, 95% CI 1.57-2.08), and end-stage renal disease (aHR 3.60, 95% CI 2.50-5.18). Acute critical illness conferred higher mortality risk among patients who subsequently developed end-stage renal disease (aHR 3.37, 95% CI 2.07-5.49) or chronic kidney disease (aHR 2.16, 95% CI 1.67-2.80). INTERPRETATION: Patients with acute critical illness and without pre-existing renal disease have a higher risk of adverse renal outcomes and subsequent mortality. A resolved episode of critical illness has implications for future renal function surveillance, even in patients without pre-existing renal disease.

Purification of Single Photons from Room-Temperature Quantum Dots.

Single photon emitters are indispensable to photonic quantum technologies. Here, we demonstrate waveform-controlled high-purity single photons from room-temperature colloidal quantum dots. The purity of the single photons does not vary with the excitation power, thereby allowing the generation rate to be increased without compromising the single-photon quality.

Risk of cancer in patients with polycystic kidney disease: a propensity-score matched analysis of a nationwide, population-based cohort study.

BACKGROUND: Data for the risk of any solid cancer in patients with polycystic kidney disease are scarce. Therefore, we did a nationwide cohort study in Taiwan to establish the risk of cancer in patients with polycystic kidney disease without either chronic kidney disease or end-stage renal disease. METHODS: From inpatient claims of the Taiwan National Health Insurance Research Database, we included patients aged 20 years and older and diagnosed with polycystic kidney disease between January, 1998 and December, 2010, in the polycystic kidney disease cohort. Patients with a history of cancer, a history of chronic kidney disease or of end-stage renal disease (recorded from the Registry of Catastrophic Illness Patient Database) were excluded. For each patient with polycystic kidney disease, one patient aged older than 20 years with no history of polycystic kidney disease or cancer was randomly selected from the National Health Insurance Research Database, matched 1:1 on the basis of the propensity score calculated by logistic regression, and was included in the control non-polycystic kidney disease cohort. The follow-up period for each patient was estimated from the index date to the date of diagnosis of cancer, or the patient was censored due to withdrawal from the insurance programme (eg, death, immigration, or imprisonment) or on Dec 31, 2011. The primary outcome of interest was a diagnosis of cancer during a 14-year follow-up period. The risk of cancer was represented as a hazard ratio (HR) calculated in Cox proportional hazard regression models. FINDINGS: 4346 patients with polycystic kidney disease and 4346 without were enrolled in the study. The median follow-up period in the polycystic kidney disease cohort was 3·72 years (IQR 1·25-7·31) and in the non-polycystic kidney disease cohort was 4·96 years (2·29-8·38). The overall incidence of cancer was higher in the polycystic kidney disease cohort than in the control cohort (20·1 [95% CI 18·3-21·9] per 1000 person-years vs 10·9 [10·1-11·8] per 1000 person-years; crude hazard ratio (HR) 1·77 [95% CI 1·52-2·07]; HR adjusted for age, sex, frequency of medical visits, and comorbidities was 1·83 [1·57-2·15]). The specific risks (adjusted subhazard ratios) were significantly higher in the polycystic kidney disease cohort than that in the non-polycystic kidney disease cohort for liver cancer (1·49 [95% CI 1·04-2·13]; p=0·030), colon cancer (1·63 [1·15-2·30]; p=0·006), and kidney cancer (2·45 [1·29-4·65]; p=0·006). INTERPRETATION: To our knowledge, this is the first report of the association of polycystic kidney disease without end-stage renal disease with the risk of liver, colon, and kidney cancer. Health-care professionals should be aware of this risk, when treating patients with polycystic kidney disease. FUNDING: Taiwan Ministry of Health and Welfare Clinical Trial and Research Center of Excellence, Academia Sinica Taiwan Biobank, Stroke Biosignature Project, NRPB Stroke Clinical Trial Consortium, Tseng-Lien Lin Foundation, Taiwan Brain Disease Foundation, Katsuzo and Kiyo Aoshima Memorial Funds, China Medical University Hospital, and Taiwan Ministry of Education.

The partly Aalen's model for recurrent event data with a dependent terminal event.

Recurrent event data are commonly observed in biomedical longitudinal studies. In many instances, there exists a terminal event, which precludes the occurrence of additional repeated events, and usually there is also a nonignorable correlation between the terminal event and recurrent events. In this article, we propose a partly Aalen's additive model with a multiplicative frailty for the rate function of recurrent event process and assume a Cox frailty model for terminal event time. A shared gamma frailty is used to describe the correlation between the two types of events. Consequently, this joint model can provide the information of temporal influence of absolute covariate effects on the rate of recurrent event process, which is usually helpful in the decision-making process for physicians. An estimating equation approach is developed to estimate marginal and association parameters in the joint model. The consistency of the proposed estimator is established. Simulation studies demonstrate that the proposed approach is appropriate for practical use. We apply the proposed method to a peritonitis cohort data set for illustration.

Two-stage estimation for multivariate recurrent event data with a dependent terminal event.

Recurrent event data arise in longitudinal follow-up studies, where each subject may experience the same type of events repeatedly. The work in this article is motivated by the data from a study of repeated peritonitis for patients on peritoneal dialysis. Due to the aspects of medicine and cost, the peritonitis cases were classified into two types: Gram-positive and non-Gram-positive peritonitis. Further, since the death and hemodialysis therapy preclude the occurrence of recurrent events, we face multivariate recurrent event data with a dependent terminal event. We propose a flexible marginal model, which has three characteristics: first, we assume marginal proportional hazard and proportional rates models for terminal event time and recurrent event processes, respectively; second, the inter-recurrences dependence and the correlation between the multivariate recurrent event processes and terminal event time are modeled through three multiplicative frailties corresponding to the specified marginal models; third, the rate model with frailties for recurrent events is specified only on the time before the terminal event. We propose a two-stage estimation procedure for estimating unknown parameters. We also establish the consistency of the two-stage estimator. Simulation studies show that the proposed approach is appropriate for practical use. The methodology is applied to the peritonitis cohort data that motivated this study.

Deep learning-based glomerulus detection and classification with generative morphology augmentation in renal pathology images.

Glomerulus morphology on renal pathology images provides valuable diagnosis and outcome prediction information. To provide better care, an efficient, standardized, and scalable method is urgently needed to optimize the time-consuming and labor-intensive interpretation process by renal pathologists. This paper proposes a deep convolutional neural network (CNN)-based approach to automatically detect and classify glomeruli with different stains in renal pathology images. In the glomerulus detection stage, this paper proposes a flattened Xception with a feature pyramid network (FX-FPN). The FX-FPN is employed as a backbone in the framework of faster region-based CNN to improve glomerulus detection performance. In the classification stage, this paper considers classifications of five glomerulus morphologies using a flattened Xception classifier. To endow the classifier with higher discriminability, this paper proposes a generative data augmentation approach for patch-based glomerulus morphology augmentation. New glomerulus patches of different morphologies are generated for data augmentation through the cycle-consistent generative adversarial network (CycleGAN). The single detection model shows the F1 score up to 0.9524 in H&E and PAS stains. The classification result shows that the average sensitivity and specificity are 0.7077 and 0.9316, respectively, by using the flattened Xception with the original training data. The sensitivity and specificity increase to 0.7623 and 0.9443, respectively, by using the generative data augmentation. Comparisons with different deep CNN models show the effectiveness and superiority of the proposed approach.

Generative Large Language Models in Electronic Health Records for Patient Care Since 2023: A Systematic Review.

BACKGROUND: Generative Large language models (LLMs) represent a significant advancement in natural language processing, achieving state-of-the-art performance across various tasks. However, their application in clinical settings using real electronic health records (EHRs) is still rare and presents numerous challenges. OBJECTIVE: This study aims to systematically review the use of generative LLMs, and the effectiveness of relevant techniques in patient care-related topics involving EHRs, summarize the challenges faced, and suggest future directions. METHODS: A Boolean search for peer-reviewed articles was conducted on May 19th, 2024 using PubMed and Web of Science to include research articles published since 2023, which was one month after the release of ChatGPT. The search results were deduplicated. Multiple reviewers, including biomedical informaticians, computer scientists, and a physician, screened the publications for eligibility and conducted data extraction. Only studies utilizing generative LLMs to analyze real EHR data were included. We summarized the use of prompt engineering, fine-tuning, multimodal EHR data, and evaluation matrices. Additionally, we identified current challenges in applying LLMs in clinical settings as reported by the included studies and proposed future directions. RESULTS: The initial search identified 6,328 unique studies, with 76 studies included after eligibility screening. Of these, 67 studies (88.2%) employed zero-shot prompting, five of them reported 100% accuracy on five specific clinical tasks. Nine studies used advanced prompting strategies; four tested these strategies experimentally, finding that prompt engineering improved performance, with one study noting a non-linear relationship between the number of examples in a prompt and performance improvement. Eight studies explored fine-tuning generative LLMs, all reported performance improvements on specific tasks, but three of them noted potential performance degradation after fine-tuning on certain tasks. Only two studies utilized multimodal data, which improved LLM-based decision-making and enabled accurate rare disease diagnosis and prognosis. The studies employed 55 different evaluation metrics for 22 purposes, such as correctness, completeness, and conciseness. Two studies investigated LLM bias, with one detecting no bias and the other finding that male patients received more appropriate clinical decision-making suggestions. Six studies identified hallucinations, such as fabricating patient names in structured thyroid ultrasound reports. Additional challenges included but were not limited to the impersonal tone of LLM consultations, which made patients uncomfortable, and the difficulty patients had in understanding LLM responses. CONCLUSION: Our review indicates that few studies have employed advanced computational techniques to enhance LLM performance. The diverse evaluation metrics used highlight the need for standardization. LLMs currently cannot replace physicians due to challenges such as bias, hallucinations, and impersonal responses.

Ultrasound attenuation imaging as a strategy for evaluation of early and late ambulatory functions in Duchenne muscular dystrophy.

BACKGROUND: Duchenne muscular dystrophy (DMD) is a genetic neuromuscular disorder that leads to mobility loss and life-threatening cardiac or respiratory complications. Quantitative ultrasound (QUS) envelope statistics imaging, which characterizes fat infiltration and fibrosis in muscles, has been extensively used for DMD evaluations. PURPOSE: Notably, changes in muscle microstructures also result in acoustic attenuation, potentially serving as another crucial imaging biomarker for DMD. Expanding upon the reference frequency method (RFM), this study contributes to the field by introducing the robust RFM (RRFM) as a novel approach for ultrasound attenuation imaging in DMD. METHODS: The RRFM algorithm was developed using an iterative reweighted least squares technique. We conducted standard phantom measurements with a clinical ultrasound system equipped with a linear array transducer to assess the improvement in attenuation estimation bias by RRFM. Additionally, 161 DMD patients, included in both a validation dataset (n = 130) and a testing dataset (n = 31), underwent ultrasound scanning of the gastrocnemius for RRFM-based attenuation imaging. The diagnostic performances for ambulatory functions and discrimination between early and late ambulatory stages were evaluated and compared with those of QUS envelope statistics imaging (involving Nakagami distribution, homodyned K distribution, and entropy values) using the area under the receiver operating characteristic curve (AUROC). RESULTS: The results indicated that the RRFM method more closely matched the actual attenuation properties of the phantom, reducing measurement bias by 50% compared to conventional RFM. The AUROCs for RRFM-based attenuation imaging, used to discriminate between early and late ambulatory stages, were 0.88 and 0.92 for the validation and testing datasets, respectively. These performances significantly surpassed those of QUS envelope statistics imaging (p < 0.05). CONCLUSIONS: Ultrasound attenuation imaging employing RRFM may serve as a sensitive tool for evaluating the progression of ambulatory function deterioration, offering substantial potential for the health management and follow-up care of DMD patients.

Risk of new onset hyperuricemia and chronic kidney disease after living kidney donation through propensity score matching analysis.

Living kidney donors have been regarded as those people having earned the healthiest status level after having undergone scrutiny. Although one's post-donation GFR is expected to fall to 50% of their pre-donation value, it is well documented that there is a compensatory increase in GFR which subsequently reaches approximately 60-70% of the donor's pre-donation value. Data regarding gout/hyperuricemia in living kidney donors has remained scarce until now. This study involved kidney donors enrolled within the years 2000 to 2017, where those who were selected to be matched to those in group of case cohort by age, year of index date, gender and co-morbidity were considered as the control cohort. During the 17-year study period 2,716 participants were enrolled. Results revealed that kidney donors experienced a risk of new onset gout/ hyperuricemia (adjusted HR = 1.73; 95%CI = 1.27, 2.36), and new onset CKD (adjusted HR = 6.7; 95% CI = 4.4, 10.21) were found to be higher in kidney donors. Our findings suggest that people after kidney donation are significantly associated with a higher risk of new onset gout/hyperuricemia. Clinical professionals therefore need to be cautious of new onset gouy/hyperuricemia after donation surgery.

Enhancing Early Detection of Cognitive Decline in the Elderly: A Comparative Study Utilizing Large Language Models in Clinical Notes.

Background: Large language models (LLMs) have shown promising performance in various healthcare domains, but their effectiveness in identifying specific clinical conditions in real medical records is less explored. This study evaluates LLMs for detecting signs of cognitive decline in real electronic health record (EHR) clinical notes, comparing their error profiles with traditional models. The insights gained will inform strategies for performance enhancement. Methods: This study, conducted at Mass General Brigham in Boston, MA, analyzed clinical notes from the four years prior to a 2019 diagnosis of mild cognitive impairment in patients aged 50 and older. We used a randomly annotated sample of 4,949 note sections, filtered with keywords related to cognitive functions, for model development. For testing, a random annotated sample of 1,996 note sections without keyword filtering was utilized. We developed prompts for two LLMs, Llama 2 and GPT-4, on HIPAA-compliant cloud-computing platforms using multiple approaches (e.g., both hard and soft prompting and error analysis-based instructions) to select the optimal LLM-based method. Baseline models included a hierarchical attention-based neural network and XGBoost. Subsequently, we constructed an ensemble of the three models using a majority vote approach. Results: GPT-4 demonstrated superior accuracy and efficiency compared to Llama 2, but did not outperform traditional models. The ensemble model outperformed the individual models, achieving a precision of 90.3%, a recall of 94.2%, and an F1-score of 92.2%. Notably, the ensemble model showed a significant improvement in precision, increasing from a range of 70%-79% to above 90%, compared to the best-performing single model. Error analysis revealed that 63 samples were incorrectly predicted by at least one model; however, only 2 cases (3.2%) were mutual errors across all models, indicating diverse error profiles among them. Conclusions: LLMs and traditional machine learning models trained using local EHR data exhibited diverse error profiles. The ensemble of these models was found to be complementary, enhancing diagnostic performance. Future research should investigate integrating LLMs with smaller, localized models and incorporating medical data and domain knowledge to enhance performance on specific tasks.

Effect of different hemodialyzers on serum levels of interleukin-6, interleukin-10 and interleukin-18.

BACKGROUND: The blood and membrane contact during dialysis may elicit an immune reaction. The current study looked at the impact of different dialyzers on blood levels of cytokines. METHODS: During the first month, randomly selected patients were treated with one dialyzer (PF-170H) and then crossed over to another dialyzer (FLX-18GW) during the next month. Pre- and postdialysis blood samples were assayed for interleukin (IL)-6, IL-10 and IL-18. RESULTS: A significant drop of postdialysis systolic blood pressure (pre vs. post 156.4 ± 31.8 vs. 143.1 ± 24.8 mm Hg, p = 0.014) and diastolic pressure (80.7 ± 12.7 vs. 73.4 ± 10.9 mm Hg, p = 0.002) were found when patients were dialyzed with PF-170H. A significant increase of postdialysis IL-18 levels was found in both groups (pre vs. post 605.5 ± 278.6 vs. 690.6 ± 315.3 pg/ml, p = 0.016, for PF-170H and 556.4 ± 231.0 vs. 647.3 ± 282.6 pg/ml, p = 0.067, for FLX-18GW). There was a positive correlation between IL-6 and IL-10 levels (p < 0.0001). CONCLUSION: We demonstrated a significant increase of postdialysis serum IL-18 level when either dialyzer was used. There is a strong correlation between serum levels of IL-6 and IL-10.

Clinical outcome of elderly peritoneal dialysis patients with assisted care in a single medical centre: a 25 year experience.

AIM: Peritoneal dialysis (PD) is an alternative treatment for elderly patients with end-stage renal disease (ESRD). In Taiwan, non-professional personnel are employed to provide assisted care for elderly patients. Whether assisted care is appropriate for elderly patients is unknown. The aim of this paper is to evaluate the outcomes of assisted care in a single centre. METHODS: This is a retrospective cohort study in a single medical centre. The outcomes were derived from the assessment of patient survival, technique survival and peritonitis incidence between self-care patients and assisted-care patients. RESULTS: From 1984 to 2010, there were 138 elderly PD patients at Taichung Veterans General Hospital, of which 70% were assisted-care patients and 30% self-care patients. The mean duration of PD survival was 49.2 months in self-care patients, which was significantly longer than the 17.0 months of assisted-care patients (P < 0.05). Using the multivariate Cox proportion regression model to adjust for risk factors, it was found that self-care patients had a lower risk in both patient survival (Hazard Ratio 0.15; 95% confidence interval (CI) 0.2-0.94, P < 0.05) and technique survival (Hazard ratio; 0.11, 95% CI 0.1-0.9, P < 0.05). Fluid overloading was the major cause of technique failure in assisted-care patients. Type of assistance was not a risk factor for PD-related peritonitis. CONCLUSION: Our elderly assisted care had patients had a poorer survival and technique survival rates than those of the self-care patients. We argue that this is because early recognition of medical deterioration and early medical intervention are necessary for a better outcome for elderly PD patients.

In-hospital mortality risk estimation in patients with acute nonvariceal upper gastrointestinal bleeding undergoing hemodialysis: a retrospective cohort study.

BACKGROUND: Upper gastrointestinal bleeding (UGIB) is a major cause of clinical bleeding among patients with end-stage renal disease (ESRD). This study aimed to investigate the association between mortality and UGIB in patients with uremia. METHODS: From 2004 to 2010, a tertiary hospital-based retrospective cohort comprising 322 patients undergoing hemodialysis was investigated. All the patients were diagnosed with UGIB according to the International Classification of Diseases, 9th Revision (ICD-9) that included peptic ulcer bleeding, duodenal ulcer bleeding, and other symptoms. UGIB was required to be one of the first three discharge diagnoses. Rehospitalization within 3 days after discharge was regarded as the same course. Exclusion criteria were age <20 years, previous gastric resection or vagotomy, esophageal and gastric variceal bleeding, or gastric cancer within the first 2 years of the index hospitalization. RESULTS: The all-cause in-hospital mortality rate of patients with UGIB undergoing hemodialysis was high, with the first-month mortality rate of 13.7%, sixth-month mortality rate of 26.7%, and first-year mortality rate of 27.0%. Using Cox regression models, we found that the high mortality rate of the UGIB group was significantly correlated with older age [adjusted hazard ratio (HR) = 1.02, 95% confidence interval (CI) = 1.01-1.04], female sex (adjusted HR = 1.62, 95% CI = 1.05-2.51), infection during hospitalization (adjusted HR = 1.85, 95% CI = 1.13-3.03), single episodic UGIB (adjusted HR = 2.00, 95% CI = 1.08-3.70), abnormal white blood cell (WBC) count (adjusted HR = 1.59, 95% CI = 1.03-2.45), and albumin level ≤3 g/dL (adjusted HR = 2.67, 95% CI = 1.51-4.72). CONCLUSION: In conclusion, patients with ESRD who are admitted with primary UGIB have a profoundly increased risk of all-cause in-hospital mortality during the follow-up period.