Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

We retrospectively analyzed the clinical characteristic of one patient with metastatic prostate cancer and the relative literatures were reviewed. A 40-year-old man was admitted and diagnosed as prostate cancer on March 20, 2018(T 4N 1M 1a) with prostate-specific antigen (PSA) at 47.99 ng/ml. The first 68Ga-PSMA PET/CT showed multiple nodular lesions in the bilateral peripheral bands of the prostate, multiple nodular lesions in the right apex, abnormal uptake of nuclides in multiple lymph nodes in the abdominal aortic wandering zone, the abdominal aortic bifurcation zone, and the bilateral iliac artery wandering zone at the level of the lumbar 2-5 vertebral body, and metastasis was considered. The patient was treated with six cycles of drug castration combined with antiandrogenic treatment and pre-operative system chemotherapy(docetaxel). Six months later, the PSA decreased to 0.225ng/ml. Robot-assisted laparoscopic prostatectomy and expanded pelvic lymph node dissection was performed. Postoperative total androgen blocking therapy was maintained, and PSA slowly increased. Ten months after operation, salvage radiotherapy for enlarged lymph nodes was performed in pelvic extension field, prostate tumor bed area and pelvic cavity. PSA remained stable for 7 months postradiotherapy, and then increased. The patient developed castration-resistant prostate cancer and was treated with triptorelin combined with abiraterone. PSA was decreased, and local radiotherapy was performed for new lymph node metastases in the neck. 68Ga-PSMA PET/CT could provide a decision-making basis for accurate clinical staging, therapeutic effect evaluation and distant metastatic lesions location with guiding value for the formulation of individualized treatment plans.

Hormone-sensitive prostate cancer with visceral metastasis is a difficulty in clinical diagnosis and treatment. We treated a patient with hormone-sensitive prostate cancer with visceral metastasis and managed it under the multi-disciplinary treatment model (MDT). A 55-year-old man presented to the hospital complaining of increased prostate-specific antigen (PSA) found in the physical examination for 2 days. At admission, the PSA was 389.2ng/ml, and 68Ga-PSMA PET/CT showed metastatic malignant lesions of the prostate, with lymph node metastasis, lumbar vertebral metastases and liver tubercles. Transrectal prostate puncture biopsy: prostate adenocarcinoma, Gleason score of 4+ 5=9. The patient has no history of androgen deprivation therapy (ADT) and diagnosed as metastatic hormone-sensitive prostate cancer (mHSPC). Then the patient received total androgen blockade therapy (CAB regimen). After MDT discussion, metastatic prostate cancer was diagnosed based on the liver histopathology of percutaneous biopsy. After the second MDT discussion, the regimen was changed to abirone plus ADT. After 6 months, the blood PSA was controlled at a level between 0.003 to 0.006 ng/ml, and the testosterone was less than 2.5ng/dl. Re-examination of 68Ga-PSMA PET/CT showed that lower signal of radionuclide in all lesions, especially no more abnormal uptake lesions were identified in the liver.

Objective To explore the critical risk points and major current threats for patients to access online medical information. Methods The patient perception value questionnaire was used, to sample survey 1 164 patients with online medical experiences from hospitals in Zhejiang province in January 2018.Their risks in accessing online medical information was evaluated.The evaluation results were ranked according to their importance and satisfaction, and a cross comparison was made between the two, to identify the top ranking factors and the highest difference factor.Descriptive statistics and related analysis methods were used for the data so obtained.Results Health risks and privacy risks were the highest concerns for patients in accessing online medical information.Among the risk factors, information content credibility and transmission channel credibility rank top two.A cross-comparison found that factors of good risk control for online medical information were information author credibility, transmission mode reliability and service risk in turn. The factor of the worst risk control was privacy, while the most problematic risk points were information type credibility and transmission channel credibility.Conclusions The present focus should be placed on the factors of privacy risks and the credibility of information delivery channels, and the main cause of risks is the regulatory awareness.In this consideration, it is suggested that the relevant risk indicators be hierarchically managed according to the current perception characteristics in patients′ online medical access risks, with measures taken accordingly to minimize their risk in such information access.

Objective? To investigate the effects of Ramsay sedation score on the nursing intervention for children undergoing continuous renal replacement therapy(CRRT). Methods? By retrospective non-random sampling, a total of 30 children treated with CRRT in Anhui Children＇s Hospital from January 2016 to May 2017 were assigned into the control group and nursed according to the standard operating procedures of CRRT for children. Another 30 children treated with CRRT from June 2017 to September 2018 were put into the observation group and the Ramsay sedation score was applied to adjust the sedation administration plan according to the results and doctors＇ prescriptions, and nursing intervention was given at the early stage of agitation. Machine alarm, complications and adverse events were compared between the two groups. Results? After nursing intervention with Ramsay sedation score, the incidence of complications including machine alarm (1 time), failed bloodletting (1 time), bleeding at catheter puncture point (4 cases) and unplanned accidental termination of treatment (1 time) in the observation group were lower than those in the control group with statistical significance (P＜0.05). Conclusions? Ramsay sedation score is simple and practical to apply and it is convenient for pediatric blood purification specialized nurses to evaluate its function. It can effectively reduce incidences of CRRT machine alarm, complications and adverse events.

Objective To compare the diagnostic efficacy of 68Ga-PSMA-617 PET/CT and multiparameter MRI in the diagnosis of primary tumors of newly diagnosed prostate cancer.and analyze the correlation between SUVmax and clinical parameters of prostate cancer.Methods A retrospective analysis of the clinical data of 104 patients with newly diagnosed prostate cancer who underwent 68Ga-PSMA-617 PET/CT and multi-parametric MRI from June 2017 to April 2018.The final pathological results were used as the gold standard for diagnosis.The age ranged from 42 to 89 years,with an average of (70.4 ± 8.9) years.The median total serum PSA was 18.44 (8.71,48.01)ng/ml.The pathological results were positive in 68 cases and negative in 36 cases.The sensitivity,specificity was calculated,the ROC curve was drawn and AUC value was calculated.The relationship between SUVmax value of prostate cancer and clinical parameters was analyzed.Results The sensitivity of 68Ga-PSMA-617 PET/CT was 95.59％ (65/68) and the specificity was 88.89％ (32/36);the sensitivity of MRI examination was 91.18％ (62/68) and the specificity was 63.89％ (23/36).There were statistical differences between the specificity of the two examination (P =0.012).The ROC curve of 68 Ga-PSMA-617 PET/CT was plotted and the AUC value was 0.954.Among the 104 suspected prostate cancer patients,the median SUVmax of benign prostatic tissue was 3.20(2.83,3.70),and the median SUVmax of prostate cancer tissue was 12.21 (7.48,17.46).Among 68 patients with prostate cancer,there were statistical differences between SUVmax values of prostate cancer tissues with different Gleason scores (P ＜ 0.01),ISUP group (P ＜ 0.01),risk grades (P =0.021),and SUVmax values.There was a positive correlation with Gleason score and ISUP group (r1 =0.7420,P＜0.01;r2 =0.754,P＜0.01).Conclusions The 68Ga-PSMA-617 PET/CT examination had higher diagnostic efficacy than the multiparametric MRI for prostate cancer.The higher the SUVmax value predict the higher grade and higher risk.