Objective:Evaluating the impact of various hypoglycemic events on the Health-Related Quality of Life(HRQoL)of diabetes patients to provide empirical data for health technology assessment.Methods:The data was collected from a tertiary hospital in Jinan,Shandong Province,China.Health utility was measured using the Time Trade-off(TTO)method,and disutility was calculated based on the formula.Subsequently,the intergroup differences among various hypoglycemic event groups were analyzed.Results:The hypoglycemic events'average utility was all lower than the average utility for diabetics without hypoglycemic events(baseline status).Severe hypoglycemic events(0.108)had higher disutility compared to non-severe hypoglycemic events(0.008).Furthermore,nocturnal severe/non-severe hypoglycemic events(0.118/0.008)exhibited higher average disutility than daytime severe/non-severe hypoglycemic events(0.098/0.007).Conclusion:Optimal diabetes management demands prioritizing the prevention of both severe hypoglycemic events and nocturnal hypoglycemic events.

OBJECTIVE To review the current research progress on pharmacoeconomics evaluation related to spinal muscular atrophy （SMA）， in order to provide valuable insights for clinical treatment， screening and medical insurance payment decision- making. METHODS A computerized search was conducted across multiple databases including PubMed， Web of Science， Embase， Scopus， Cochrane Library， EBSCOhost， CNKI， VIP， CBM and Wanfang database as well as other important health technology assessment （HTA） websites， such as National Institute for Health and Care Research，International Society of Technology Assessment in Health Care， Agency for Healthcare Research and Quality， etc. The pharmacoeconomics evaluation studies related to SMA were collected from the inception to December 31st， 2023. The literature/reports were rigorously screened based on predefined inclusion and exclusion criteria by two researchers， and the essential information from the included literature/ reports was extracted using Excel 2019. The quality of the included literature/reports was evaluated by Consolidated Health Economic Evaluation Reporting Standards 2022. RESULTS Finally， 9 articles and 15 HTA reports were included， with overall good quality of literature， but poor quality of HTA reports. There were a total of 24 studies on the pharmacoeconomics evaluation of SMA， including treatment options such as nusinersen sodium， sovaprevir， risperidone， and best supportive therapy.The review results showed that nusinersen sodium was not cost-effective in the treatment of SMA； there was no consensus on the economic viability of treatment options such as risperidone and sovaprevir； newborn/prenatal screening combined withmedication therapy was cost-effective. CONCLUSIONS newborn/prenatal screening combined with SMA medication therapy demonstrates economic advantages. It is suggested to further investigate the cost-effectiveness of new SMA drugs and SMA screening in China， taking localization parameters and medical insurance prices into account， and gradually incorporate SMA screening into the scope of neonatal genetic disease detection， in order to alleviate the financial burden of patients’ families and healthcare systems.

Objective:Evaluating the impact of various hypoglycemic events on the Health-Related Quality of Life(HRQoL)of diabetes patients to provide empirical data for health technology assessment.Methods:The data was collected from a tertiary hospital in Jinan,Shandong Province,China.Health utility was measured using the Time Trade-off(TTO)method,and disutility was calculated based on the formula.Subsequently,the intergroup differences among various hypoglycemic event groups were analyzed.Results:The hypoglycemic events'average utility was all lower than the average utility for diabetics without hypoglycemic events(baseline status).Severe hypoglycemic events(0.108)had higher disutility compared to non-severe hypoglycemic events(0.008).Furthermore,nocturnal severe/non-severe hypoglycemic events(0.118/0.008)exhibited higher average disutility than daytime severe/non-severe hypoglycemic events(0.098/0.007).Conclusion:Optimal diabetes management demands prioritizing the prevention of both severe hypoglycemic events and nocturnal hypoglycemic events.

Objective:Evaluating the impact of various hypoglycemic events on the Health-Related Quality of Life(HRQoL)of diabetes patients to provide empirical data for health technology assessment.Methods:The data was collected from a tertiary hospital in Jinan,Shandong Province,China.Health utility was measured using the Time Trade-off(TTO)method,and disutility was calculated based on the formula.Subsequently,the intergroup differences among various hypoglycemic event groups were analyzed.Results:The hypoglycemic events'average utility was all lower than the average utility for diabetics without hypoglycemic events(baseline status).Severe hypoglycemic events(0.108)had higher disutility compared to non-severe hypoglycemic events(0.008).Furthermore,nocturnal severe/non-severe hypoglycemic events(0.118/0.008)exhibited higher average disutility than daytime severe/non-severe hypoglycemic events(0.098/0.007).Conclusion:Optimal diabetes management demands prioritizing the prevention of both severe hypoglycemic events and nocturnal hypoglycemic events.

Objective:Evaluating the impact of various hypoglycemic events on the Health-Related Quality of Life(HRQoL)of diabetes patients to provide empirical data for health technology assessment.Methods:The data was collected from a tertiary hospital in Jinan,Shandong Province,China.Health utility was measured using the Time Trade-off(TTO)method,and disutility was calculated based on the formula.Subsequently,the intergroup differences among various hypoglycemic event groups were analyzed.Results:The hypoglycemic events'average utility was all lower than the average utility for diabetics without hypoglycemic events(baseline status).Severe hypoglycemic events(0.108)had higher disutility compared to non-severe hypoglycemic events(0.008).Furthermore,nocturnal severe/non-severe hypoglycemic events(0.118/0.008)exhibited higher average disutility than daytime severe/non-severe hypoglycemic events(0.098/0.007).Conclusion:Optimal diabetes management demands prioritizing the prevention of both severe hypoglycemic events and nocturnal hypoglycemic events.

Objective:Evaluating the impact of various hypoglycemic events on the Health-Related Quality of Life(HRQoL)of diabetes patients to provide empirical data for health technology assessment.Methods:The data was collected from a tertiary hospital in Jinan,Shandong Province,China.Health utility was measured using the Time Trade-off(TTO)method,and disutility was calculated based on the formula.Subsequently,the intergroup differences among various hypoglycemic event groups were analyzed.Results:The hypoglycemic events'average utility was all lower than the average utility for diabetics without hypoglycemic events(baseline status).Severe hypoglycemic events(0.108)had higher disutility compared to non-severe hypoglycemic events(0.008).Furthermore,nocturnal severe/non-severe hypoglycemic events(0.118/0.008)exhibited higher average disutility than daytime severe/non-severe hypoglycemic events(0.098/0.007).Conclusion:Optimal diabetes management demands prioritizing the prevention of both severe hypoglycemic events and nocturnal hypoglycemic events.

Objective:Evaluating the impact of various hypoglycemic events on the Health-Related Quality of Life(HRQoL)of diabetes patients to provide empirical data for health technology assessment.Methods:The data was collected from a tertiary hospital in Jinan,Shandong Province,China.Health utility was measured using the Time Trade-off(TTO)method,and disutility was calculated based on the formula.Subsequently,the intergroup differences among various hypoglycemic event groups were analyzed.Results:The hypoglycemic events'average utility was all lower than the average utility for diabetics without hypoglycemic events(baseline status).Severe hypoglycemic events(0.108)had higher disutility compared to non-severe hypoglycemic events(0.008).Furthermore,nocturnal severe/non-severe hypoglycemic events(0.118/0.008)exhibited higher average disutility than daytime severe/non-severe hypoglycemic events(0.098/0.007).Conclusion:Optimal diabetes management demands prioritizing the prevention of both severe hypoglycemic events and nocturnal hypoglycemic events.

Objective:Evaluating the impact of various hypoglycemic events on the Health-Related Quality of Life(HRQoL)of diabetes patients to provide empirical data for health technology assessment.Methods:The data was collected from a tertiary hospital in Jinan,Shandong Province,China.Health utility was measured using the Time Trade-off(TTO)method,and disutility was calculated based on the formula.Subsequently,the intergroup differences among various hypoglycemic event groups were analyzed.Results:The hypoglycemic events'average utility was all lower than the average utility for diabetics without hypoglycemic events(baseline status).Severe hypoglycemic events(0.108)had higher disutility compared to non-severe hypoglycemic events(0.008).Furthermore,nocturnal severe/non-severe hypoglycemic events(0.118/0.008)exhibited higher average disutility than daytime severe/non-severe hypoglycemic events(0.098/0.007).Conclusion:Optimal diabetes management demands prioritizing the prevention of both severe hypoglycemic events and nocturnal hypoglycemic events.

Purpose To design PCR combined probes u-sing TaqMan technology to detect the expression of major driver genes in a variety of soft tissue sarcomas at one time,and to dis-cuss whether the combined probes can better assist clinicopatho-logical diagnosis based on histological features and FISH results.Methods Our research group designed 32 pairs of fusion gene probes related to soft tissue sarcoma based on TaqMan tech-nique,involving 10 types of sarcoma.The histopathological specimens of 70 patients with common fusion gene soft tissue sarcoma in our hospital were examined by fusion gene combina-tion,and the histopathological specimens of 30 patients with oth-er soft tissue sarcoma without fusion gene were set as controls.Individual common sarcoma types were analyzed with FISH probe detection.At the same time,the detection performance of the combined probe was evaluated by various methods.Results The soft tissue sarcoma-related fusion gene probe designed by our research group was used to detect the confirmed soft tissue sarcomas,and the results showed that the highest sensitivity was 100％.Among the three types of tumors,protuberant dermatofi-brosarcoma,synovial sarcoma and mucinous liposarcoma were verified by FISH,and the coincidence rate of the two methods was high,with no statistical significance(P＞0.05).The re-sults of interlot and intralot reproducibility of protuberous derma-tofibrosarcoma,mucinous liposarcoma and synovial sarcoma were consistent.Three different concentration limits were used to de-tect the positive plasmid of all the fused gene RNA,and 25 cop-ies/μL was the lowest concentration limit.Conclusion Com-bined with the pathological diagnosis results,TaqMan technology can be used to design PCR combined probes for soft tissue sarco-ma,which have high sensitivity and high specificity and good methodological performance,and meet the needs of primary medical institutions for one-time and rapid auxiliary pathological diagnosis of common soft tissue sarcoma.It provides a rapid and reliable method for the detection of multiple fusion genes in clin-ical soft tissue sarcoma.

Objective:Evaluating the impact of various hypoglycemic events on the Health-Related Quality of Life(HRQoL)of diabetes patients to provide empirical data for health technology assessment.Methods:The data was collected from a tertiary hospital in Jinan,Shandong Province,China.Health utility was measured using the Time Trade-off(TTO)method,and disutility was calculated based on the formula.Subsequently,the intergroup differences among various hypoglycemic event groups were analyzed.Results:The hypoglycemic events'average utility was all lower than the average utility for diabetics without hypoglycemic events(baseline status).Severe hypoglycemic events(0.108)had higher disutility compared to non-severe hypoglycemic events(0.008).Furthermore,nocturnal severe/non-severe hypoglycemic events(0.118/0.008)exhibited higher average disutility than daytime severe/non-severe hypoglycemic events(0.098/0.007).Conclusion:Optimal diabetes management demands prioritizing the prevention of both severe hypoglycemic events and nocturnal hypoglycemic events.