With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

BackgroundSuicide and self-injury risk in patients with depression disorder is associated with pain symptoms， but the relationships between specific pain types and their severity and distinct self-injury/suicide risk phenotypes remain controversial. ObjectiveTo explore whether somatic pain can reflect different self-injury/suicide risk phenotypes， and to provide references for the clinical identification of suicide and self-injury risk in patients with depression. MethodsBased on data from the National Survey on Symptomatology of Depression （NSSD）， 3 275 patients who met the diagnostic criteria for major depressive disorder in the Diagnostic and Statistical Manual of Mental Disorders， fourth edition， text revision （DSM-IV-TR） were recruited. According to previous suicidal behavior， suicidal ideation and self-injury behavior in the past two weeks， patients were divided into the no self-injury/suicide risk group， self-injury group， and high suicide-risk group. The occurrence of headache， muscle soreness， trunk pain， limb pain， and other pain symptoms was assessed using the structured symptom assessment instrument of the NSSD. With the no self-injury/suicide risk group as the reference， an ordinal Logistic regression model was used to analyze the associations between the risk groups and the occurrence frequency of pain， with demographic and clinical characteristics entered into the model as covariates for adjustment. ResultsA total of 3 211 patients （98.05%） were included in the analysis， including 1 329 cases （41.39%） in the no self-injury/suicide risk group， 415 cases （12.92%） in the self-injury group， and 1 467 cases （45.69%） in the high suicide-risk group. Compared with the no self-injury/suicide risk group， the occurrence frequencies of headache （OR=1.526， 95% CI： 1.221–1.894） and muscle soreness （OR=1.287， 95% CI： 1.034–1.597） were higher in the self-injury group， and the occurrence frequencies of headache （OR=0.583， 95% CI： 0.504–0.672）， muscle soreness （OR=0.682， 95% CI： 0.597–0.780）， trunk pain （OR=0.557， 95% CI： 0.475–0.634）， limb pain （OR=0.454， 95% CI： 0.384–0.522）， and other pain difficult to localize （OR=0.542， 95% CI： 0.472–0.631） were all lower in the high suicide-risk group. ConclusionPatients with depression disorder across different self-injury and suicide risk phenotypes exhibit distinct pain characteristics， and these differences may provide a reference for the clinical identification of suicide and self-injury risk in patients with depression disorder. ［Funded by The National Key Research and Development Program of China during the "13th Five-Year Plan" period （number， 2016YFC1307100）； Shanghai Key Clinical Specialties Construction Project］

Objective: To analyze the disease burden and trends of oral diseases among China’s elderly population (1990-2021) and provide evidence for developing targeted intervention strategies Methods : Using data from the Global Burden of Disease (GBD) 2021 study, we extracted prevalence, incidence, and disability-adjusted life years (DALYs) for oral conditions (permanent dental caries, edentulism, periodontal diseases, and other oral disorders) in individuals aged ≥60 years in China. Due to data limitations, other oral diseases only included DALYs and prevalence. Age-standardized rates (ASR)—including age-standardized prevalence rate (ASPR), age-standardized incidence rate (ASIR), and age-standardized DALYs rate (ASDR)--were calculated. Trends were assessed via Joinpoint regression using average annual percentage change (AAPC), stratified by sex and age groups (60-64, 65-69, 70-74, 75-79, 80-84, 85-89, 90-94, 95+ years). Results: From 1990 to 2021, China’s elderly population exhibited distinct trends in oral disease burden. Overall oral diseases showed declining ASDR and ASPR, yet ASIR slightly increased. Permanent dental caries demonstrated significant rises across ASDR, ASIR, and ASPR. Edentulism showed declining ASDR and ASPR alongside stable ASIR. 95+ age group saw rising rates. Periodontal diseases remained largely stable in ASDR and ASPR but experienced a slight ASIR decline. Other oral disorders showed mild ASDR decline and stable ASPR. Notably, sex and age disparities persisted. Women consistently bore higher burdens for overall oral diseases, caries, edentulism, and other oral diseases but lower periodontal disease rates compared to men. 85-89, 90-95, 95+ age group faced rising DALYs and prevalence for overall oral diseases, while all other age groups demonstrated declining trends in both DALYs and prevalence; for permanent caries, the 60-64 age group showed the largest increases in DALY rate, incidence, and prevalence; edentulism demonstrated the most pronounced and sustained rises in DALY rate and prevalence in the 95+ group, while declining most rapidly in the 60-64 age group; for periodontal disease, both DALY rates and prevalence declined in the 90-94 and 95+ age groups, but increased across all measures (DALY rate, incidence, and prevalence) in the 70-74 and 75-79 age group; other oral conditions exhibited relatively stable burden distributions or minor changes, with no significant age-specific shifting trends observed. Conclusion From 1990 to 2021, China’s elderly oral disease burden declined overall, but caries surged, edentulism improved, periodontal diseases stabilized, and other oral diseases slightly declined. Prioritizing older women and the adults aged 85+ is critical to addressing evolving oral health needs.

OBJECTIVE: This study aimed to explore the interplay between the life-course body mass index (BMI) trajectories and insulin resistance (IR) on incident diabetes. METHODS: This longitudinal cohort included 2,336 participants who had BMI repeatedly measured 3-8 times between 1989 and 2009, as well as glucose and insulin measured in 2009. BMI trajectories were identified using a latent class growth mixed model. The interplay between BMI trajectories and IR on diabetes was explored using the four-way effect decomposition method. Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively. RESULTS: Three distinct BMI trajectory groups were identified: low-stable ( n = 1,625), medium-increasing ( n = 613), and high-increasing ( n = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( P < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% vs. 5.8%, P < 0.001). After adjusting for covariates, the odds ratios (95% confidence intervals) of the IR, IS-obesity, and IR-obesity groups vs. the normal group were 3.22 (2.05, 5.16), 2.05 (1.00, 3.97), and 7.98 (5.19, 12.62), respectively. IR mediated 10.7% of the total effect of BMI trajectories on incident diabetes ( P < 0.001). CONCLUSION We found strong interactions and weak mediation effects of IR on the relationship between life-course BMI trajectories and incident diabetes. IS-obesity is associated with a lower risk of incident diabetes than IR-obesity.
Humans ; Insulin Resistance ; Body Mass Index ; Male ; Female ; Middle Aged ; China/epidemiology* ; Adult ; Longitudinal Studies ; Incidence ; Diabetes Mellitus/epidemiology* ; Aged ; Obesity/epidemiology* ; Diabetes Mellitus, Type 2/epidemiology* ; East Asian People

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective:To investigate the cytopathological features of thyroid tumor with DICER1 mutation.Methods:A retrospective study on the preoperative cell smear was conducted on thyroid tumors with DICER1 gene mutations detected by Sanger sequencing in the Department of Pathology Shanghai Sixth People′s Hospital affiliated to Shanghai Jiaotong University School of Medicine from May 2022 to November 2024.Results:Totally 163 cases with histological features indicating DICER1 mutation related thyroid tumor underwent Sanger sequencing. Fifteen cases were confirmed to harbor DICER1 mutation (15/163,9.2%). Fourteen of 15 patients were female, and only 1 was male; average age 42(31,47) years. Eight cases presented with D1709 hotspot mutation (8/15) and 7 cases with the E1813 hotspot mutation (7/15) and there was no statistical significant difference between mutation rate of different hotspot ( F=0.620， P=0.438). All specimens were stained with hematoxylin-eosin staining. A moderate number of cells were observed for all cases, predominantly with macrofollicular pattern and rare small papillae. The cell nuclei were mainly uniform, small, round and dark, slightly enlarged or medium-sized. Several cases could also present RAS-like nuclear features: 3 cases showed visible nuclear grooves. According to the expert consensus on the cytopathological diagnosis of thyroid fine needle aspiration (version 2023),the cytopathological diagnostic categories were: Ⅱ, 6 cases; Ⅲ, 2 cases; Ⅳ, 6 cases; and Ⅴ, 1 case. Postoperative histological diagnoses included follicular thyroid carcinoma in 2 cases, high-grade differentiated thyroid carcinoma in 1 case, follicular thyroid adenoma in 3 cases, follicular thyroid tumor of undetermined malignant potential in 4 case, and thyroid follicular nodular disease in 5 cases. Conclusions:The morphological features of DICER1-mutated thyroid tumors are predominant macrofollicles, with uniformly small round and dark nuclei. It is difficult to identify typically diagnostic atrophic follicles on cell smear, leading to a preoperative diagnosis of benign non-neoplastic or indeterminate category. Therefore, it is necessary to carefully observe the macro-follicles and small round dark nuclear features, which is necessary to suggest a genetic test of DICER1 gene and to confirm the diagnosis before surgery.

Objective:To explore the correlation between abnormal vital signs (e.g., heart rate, oxygen saturation, and body temperature) and acute exacerbations in patients with chronic obstructive pulmonary disease (COPD), as well as to evaluate the clinical value of continuous monitoring via wearable devices for the early warning and intervention.Methods:A multicenter cross-sectional study enrolled 335 patients with stable chronic obstructive pulmonary disease (COPD) from 12 community health centers in Beijing and Chengdu between June 2023 and May 2024. General demographic and clinical data were collected, and each participant underwent continuous monitoring of resting heart rate, oxygen saturation, and body temperature using wearable devices for 21 days. Based on whether participants had experienced acute exacerbations requiring outpatient, emergency, or inpatient treatment within the previous year, they were categorized into the acute exacerbation group and the non-exacerbation group. Differences in physiological parameters between the acute exacerbation group and non-exacerbation group were analyzed, and contributing factors were assessed using logistic regression analysis.Results:A total of 335 patients with stable COPD were enrolled, including 252 cases (75.22%) in the acute exacerbation group and 83 cases (24.78%) in the non-acute exacerbation group. There were no statistically significant differences in age, sex distribution, comorbidities, or baseline lung function between the two groups (all P>0.05). Compared with the non-acute exacerbation group, patients in the acute exacerbation group had a faster resting heart rate((76.01 ± 7.78) beats/min vs. (72.72 ± 7.35) beats/min, t=3.126, P=0.002), a higher proportion of patients with decreased oxygen saturation (1.75% (0.97%, 3.03%) vs. 0.86% (0.44%, 1.65%), Z=11.086, P=0.001), and a higher proportion of patients with elevated body temperature (0.60% (0.39%, 1.03%) vs. 0.31% (0.17%, 0.54%), Z=7.314, P=0.007). Logistic regression analysis showed that advanced age ( OR=1.051, 95% CI: 1.023-1.080), increased heart rate ( OR=1.055, 95% CI:1.013-1.098), decreased oxygen saturation ( OR=1.197, 95% CI:1.023-1.400), and elevated body temperature ( OR=1.777, 95% CI:1.148-2.752) were positively associated factors for acute exacerbation of COPD. Conclusions:Abnormalities in physiological indicators such as heart rate, oxygen saturation, and body temperature are associated with acute exacerbations in COPD patients. Continuous monitoring using wearable devices may provide a new method for early warning and timely intervention in COPD exacerbations.