Objective To conduct a scoping review of studies related to latent class trajectory analysis of glucose metabolism indicators in diabetes mellitus patients,so as to clarify the method of latent category trajectory analysis,evaluation indicators and the changing trajectories of different glucose metabolism indicators in diabetes mellitus patients,and to establish foundation for diabetes management and research.Methods Based on Arksey's framework for scoping study,a literature search was performed in CNKI,Wanfang,CBM,Web of Science,PubMed,Embase,Cochrane Library,CINAHL database inception to January 28,2024.Totally 2 researchers independently screened the literature and extracted data.Results A total of 22 pieces of the literature were included.Latent class growth model was the most commonly used model in latent class trajectory analysis,and 4 softwares are available for implementation.The current evaluation indicators for trajectory results are various,with the Bayesian information criterion and average posterior probability as the most frequently utilized.Hemoglobin is the most commonly used glucose metabolism indicators for trajectory analysis,and the number of identified trajectories ranged from 2 to 5.Most studies showed that diabetic patients exhibited a"low-stable"pattern in glucose metabolism indicators.Conclusion Latent class trajectory analysis represents a novel longitudinal data analysis approach that can identify potential subgroups of diabetic patients with similar development trajectory.The models and evaluation indicators employed are diverse,and the stability test of the models can be enhanced in the future.Through trajectory identification,it is recommended that clinical staff pay greater attention to the longitudinal trend of the glucose metabolism indicators and incorporate it into the long-term blood glucose management goal of diabetic patients.

Objective To explore the CT and MRI manifestation of salivary gland mucosa-associated lymphoid tissue(MALT)lymphoma.Methods The preoperative CT and MRI images of 89 patients with salivary gland MALT lymphoma who were confirmed by surgical pathology were analyzed retrospectively.Results Salivary gland MALT lymphoma were mainly located in the parotid gland(64 cases,71.9％).The ratio of male to female was 1 ≤ 5.Sixty-nine cases(77.5％)showed concomitant Sjogren's syndrome(SS).Typical imaging findings were round or lobulated well-marginated solid masses with moderate to severe enhancement.Atypical imaging findings were all from parotid gland MALT lymphoma,including cyst-solid mixed masses(34 cases,38.2％),poorly marginated boundaries(9 cases,10.1％),and punctuate calcification(5 cases,5.6％).The average apparent diffusion coefficient(ADC)value of lesions was(0.59±0.09)× 10-3 mm2/s and the time-signal intensity curve(TIC)type was mainly type Ⅱ(66.7％).Conclusion Salivary gland MALT lymphoma exhibits certain clinical and imaging characteristics.But when occur in parotid gland,some lesions may present atypically,which require diagnosis with the aid of functional MRI.

Objective To conduct a scoping review of studies related to latent class trajectory analysis of glucose metabolism indicators in diabetes mellitus patients,so as to clarify the method of latent category trajectory analysis,evaluation indicators and the changing trajectories of different glucose metabolism indicators in diabetes mellitus patients,and to establish foundation for diabetes management and research.Methods Based on Arksey's framework for scoping study,a literature search was performed in CNKI,Wanfang,CBM,Web of Science,PubMed,Embase,Cochrane Library,CINAHL database inception to January 28,2024.Totally 2 researchers independently screened the literature and extracted data.Results A total of 22 pieces of the literature were included.Latent class growth model was the most commonly used model in latent class trajectory analysis,and 4 softwares are available for implementation.The current evaluation indicators for trajectory results are various,with the Bayesian information criterion and average posterior probability as the most frequently utilized.Hemoglobin is the most commonly used glucose metabolism indicators for trajectory analysis,and the number of identified trajectories ranged from 2 to 5.Most studies showed that diabetic patients exhibited a"low-stable"pattern in glucose metabolism indicators.Conclusion Latent class trajectory analysis represents a novel longitudinal data analysis approach that can identify potential subgroups of diabetic patients with similar development trajectory.The models and evaluation indicators employed are diverse,and the stability test of the models can be enhanced in the future.Through trajectory identification,it is recommended that clinical staff pay greater attention to the longitudinal trend of the glucose metabolism indicators and incorporate it into the long-term blood glucose management goal of diabetic patients.

Objective To explore the CT and MRI manifestation of salivary gland mucosa-associated lymphoid tissue(MALT)lymphoma.Methods The preoperative CT and MRI images of 89 patients with salivary gland MALT lymphoma who were confirmed by surgical pathology were analyzed retrospectively.Results Salivary gland MALT lymphoma were mainly located in the parotid gland(64 cases,71.9％).The ratio of male to female was 1 ≤ 5.Sixty-nine cases(77.5％)showed concomitant Sjogren's syndrome(SS).Typical imaging findings were round or lobulated well-marginated solid masses with moderate to severe enhancement.Atypical imaging findings were all from parotid gland MALT lymphoma,including cyst-solid mixed masses(34 cases,38.2％),poorly marginated boundaries(9 cases,10.1％),and punctuate calcification(5 cases,5.6％).The average apparent diffusion coefficient(ADC)value of lesions was(0.59±0.09)× 10-3 mm2/s and the time-signal intensity curve(TIC)type was mainly type Ⅱ(66.7％).Conclusion Salivary gland MALT lymphoma exhibits certain clinical and imaging characteristics.But when occur in parotid gland,some lesions may present atypically,which require diagnosis with the aid of functional MRI.

Objective:To investigate the predictive value of abnormal heart rate circadian rhythm for all-cause mortality in stage 5 chronic kidney disease (CKD 5) patients.Methods:The retrospective study was performed in CKD 5 patients enrolled from the First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital) and the Affiliated BenQ Hospital of Nanjing Medical University from February, 2011 to December, 2019. A total of 159 healthy volunteers were enrolled as the healthy control group during the same period. The circadian rhythm of heart rate was monitored by 24-hour Holter. Related indices (including 24-hour, daytime and nighttime mean heart rate, night/day heart rate ratio, 24-hour maximum heart rate, 24-hour minimum heart rate and difference between maximum and minimum of 24-hour heart rate) were calculated. Non-dipping heart rate was defined as night/day heart rate ratio greater than 0.9. Cox regression model was used to analyze the risk factors of all-cause mortality in CKD 5 patients. Kaplan-Meier survival curve and Log-rank test were used to compare the differences of cumulative mortality between high ratio group (night/day heart rate ratio>0.91) and low ratio group (night/day heart rate ratio≤0.91). The nonlinear relationship between night/day heart rate ratio and all-cause mortality was analyzed by restricted cubic spline plot. Time-dependent receiver operating characteristic (ROC) curve was used to analyze the predictive value of night/day heart rate ratio for all-cause mortality in CKD 5 patients.Results:A total of 159 healthy volunteers and 221 CKD 5 patients were included in this study. There were 123 males (55.66%) and the age was (52.72±13.13) years old in CKD 5 patients. The total median follow-up time was 50.0 months. Compared with controls, 24-hour, nighttime mean heart rate, 24-hour minimum heart rate in CKD 5 patients were increased (all P<0.05), furthermore, the night/day heart rate ratio was higher [(0.91±0.09) vs (0.81±0.08), P<0.001], showing "non-dipping heart rate". However, the 24-hour maximum heart rate and the difference between maximum and minimum of 24-hour heart rate in CKD 5 patients were lower than controls (both P<0.05). Multivariate Cox regression analysis showed that the increased night/day heart rate ratio (per 0.1 increase, HR=1.557, 95% CI 1.073-2.258, P=0.020) was an independent influencing factor for all-cause mortality in CKD 5 patients. Kaplan-Meier survival curve analysis showed that the cumulative mortality of the high ratio group was significantly increased than that of the low ratio group (Log-rank test χ 2=7.232, P=0.007). From the restricted cubic spline plot, there was a linear effect between night/day heart rate ratio and all-cause mortality ( P=0.141), and when night/day heart rate ratio was above 0.91, the risk of all-cause mortality was significantly increased in CKD 5 patients. According to time-dependent ROC curve, the accuracy of night/day heart rate ratio in predicting all-cause mortality was 70.90% even when the survival time was up to 70.0 months. Conclusions:The circadian rhythm of heart rate in CKD 5 patients displays "non-dipping" state. High night/day heart rate ratio is an independent influencing factor for all-cause mortality in CKD 5 patients.

Platinum drugs are widely used in the treatment of various solid tumors, but their resistance to platinum is the most significant obstacle to successful treatment. Copper transporter 1 (CTR1) is the specific transporter for copper, and it mainly locates at the plasma membrane and plays a role in pumping copper into the cell. CTR1 is also the major platinum influx transporter and plays a key role in platinum resistance. The expression, polymorphism, and degradation of CTR1 affect platinum resistance in tumors. Therefore, CTR1 may be a potential predictive biomarker of platinum resistance and a therapeutic target for overcoming platinum resistance.
Antineoplastic Agents ; therapeutic use ; Cation Transport Proteins ; genetics ; metabolism ; Cisplatin ; therapeutic use ; Copper ; Copper Transporter 1 ; Drug Resistance, Neoplasm ; genetics ; Platinum ; therapeutic use ; Research ; trends

Postoperative cognitive dysfunction (POCD) is thought to be a mild cognitive disorder.It means that patients without cognitive diseases before surgery suffer from subtle changes in psychomotility,personality,social skills and cognitive function after the surgery.A decline in memory is the core characteristics of these symptoms.POCD is mainly seen in the elderly people following surgery.It can prolong hospital stay,reduce quality of life,increase mortality,and thus aggravate the burden of public health.It is urgent to take precautions to reduce the incidence.The precise mechanism of POCD remains unclear.Previous studies have shown that inflammation plays an important role in it.Sterile surgery can result in peripheral inflammation.Through several pathways,the signals from the peripheral immune response were sent to central system.Due to the individual difference,the degree of the central neuroinflammation was also heterogeneous.Some inflammations may lead to the occurrence of POCD.In order to prevent POCD,we should focus on the anti-inflammatory therapy.