Background: The optimal screening interval for diabetic retinopathy (DR) remains controversial. This study aimed to develop a risk algorithm to predict the individual risk of referable sight-threatening diabetic retinopathy (STDR) in a mainly Chinese population and to provide evidence for risk-based screening intervals. Methods: The retrospective cohort data from 117,418 subjects who received systematic DR screening in Hong Kong between 2010 and 2016 were included to develop and validate the risk algorithm using a parametric survival model. The risk algorithm can be used to predict the individual risk of STDR within a specific time interval, or the time to reach a specific risk margin and thus to allocate a screening interval. The calibration performance was assessed by comparing the cumulative STDR events versus predicted risk over 2 years, and discrimination by using receiver operative characteristics (ROC) curve. Results: Duration of diabetes, glycosylated hemoglobin, systolic blood pressure, presence of chronic kidney disease, diabetes medication, and age were included in the risk algorithm. The validation of prediction performance showed that there was no significant difference between predicted and observed STDR risks in males (5.6% vs. 5.1%, P=0.724) or females (4.8% vs. 4.6%, P=0.099). The area under the receiver operating characteristic curve was 0.80 (95% confidence interval [CI], 0.78 to 0.81) for males and 0.81 (95% CI, 0.79 to 0.83) for females. Conclusion The risk algorithm has good prediction performance for referable STDR. Using a risk-based screening interval allows us to allocate screening visits disproportionally more to those at higher risk, while reducing the frequency of screening of lower risk people.

Background: The optimal screening interval for diabetic retinopathy (DR) remains controversial. This study aimed to develop a risk algorithm to predict the individual risk of referable sight-threatening diabetic retinopathy (STDR) in a mainly Chinese population and to provide evidence for risk-based screening intervals. Methods: The retrospective cohort data from 117,418 subjects who received systematic DR screening in Hong Kong between 2010 and 2016 were included to develop and validate the risk algorithm using a parametric survival model. The risk algorithm can be used to predict the individual risk of STDR within a specific time interval, or the time to reach a specific risk margin and thus to allocate a screening interval. The calibration performance was assessed by comparing the cumulative STDR events versus predicted risk over 2 years, and discrimination by using receiver operative characteristics (ROC) curve. Results: Duration of diabetes, glycosylated hemoglobin, systolic blood pressure, presence of chronic kidney disease, diabetes medication, and age were included in the risk algorithm. The validation of prediction performance showed that there was no significant difference between predicted and observed STDR risks in males (5.6% vs. 5.1%, P=0.724) or females (4.8% vs. 4.6%, P=0.099). The area under the receiver operating characteristic curve was 0.80 (95% confidence interval [CI], 0.78 to 0.81) for males and 0.81 (95% CI, 0.79 to 0.83) for females. Conclusion The risk algorithm has good prediction performance for referable STDR. Using a risk-based screening interval allows us to allocate screening visits disproportionally more to those at higher risk, while reducing the frequency of screening of lower risk people.

Background: The optimal screening interval for diabetic retinopathy (DR) remains controversial. This study aimed to develop a risk algorithm to predict the individual risk of referable sight-threatening diabetic retinopathy (STDR) in a mainly Chinese population and to provide evidence for risk-based screening intervals. Methods: The retrospective cohort data from 117,418 subjects who received systematic DR screening in Hong Kong between 2010 and 2016 were included to develop and validate the risk algorithm using a parametric survival model. The risk algorithm can be used to predict the individual risk of STDR within a specific time interval, or the time to reach a specific risk margin and thus to allocate a screening interval. The calibration performance was assessed by comparing the cumulative STDR events versus predicted risk over 2 years, and discrimination by using receiver operative characteristics (ROC) curve. Results: Duration of diabetes, glycosylated hemoglobin, systolic blood pressure, presence of chronic kidney disease, diabetes medication, and age were included in the risk algorithm. The validation of prediction performance showed that there was no significant difference between predicted and observed STDR risks in males (5.6% vs. 5.1%, P=0.724) or females (4.8% vs. 4.6%, P=0.099). The area under the receiver operating characteristic curve was 0.80 (95% confidence interval [CI], 0.78 to 0.81) for males and 0.81 (95% CI, 0.79 to 0.83) for females. Conclusion The risk algorithm has good prediction performance for referable STDR. Using a risk-based screening interval allows us to allocate screening visits disproportionally more to those at higher risk, while reducing the frequency of screening of lower risk people.

Background: The optimal screening interval for diabetic retinopathy (DR) remains controversial. This study aimed to develop a risk algorithm to predict the individual risk of referable sight-threatening diabetic retinopathy (STDR) in a mainly Chinese population and to provide evidence for risk-based screening intervals. Methods: The retrospective cohort data from 117,418 subjects who received systematic DR screening in Hong Kong between 2010 and 2016 were included to develop and validate the risk algorithm using a parametric survival model. The risk algorithm can be used to predict the individual risk of STDR within a specific time interval, or the time to reach a specific risk margin and thus to allocate a screening interval. The calibration performance was assessed by comparing the cumulative STDR events versus predicted risk over 2 years, and discrimination by using receiver operative characteristics (ROC) curve. Results: Duration of diabetes, glycosylated hemoglobin, systolic blood pressure, presence of chronic kidney disease, diabetes medication, and age were included in the risk algorithm. The validation of prediction performance showed that there was no significant difference between predicted and observed STDR risks in males (5.6% vs. 5.1%, P=0.724) or females (4.8% vs. 4.6%, P=0.099). The area under the receiver operating characteristic curve was 0.80 (95% confidence interval [CI], 0.78 to 0.81) for males and 0.81 (95% CI, 0.79 to 0.83) for females. Conclusion The risk algorithm has good prediction performance for referable STDR. Using a risk-based screening interval allows us to allocate screening visits disproportionally more to those at higher risk, while reducing the frequency of screening of lower risk people.

Objective: To accurately screen non-small cell lung cancer (NSCLC) patients with KRAS G12C mutation and to evaluate their clinicopathological features, prognostic factors and current treatment status. Methods: A total of 19 410 NSCLC cases diagnosed at the Department of Pathology of Shanghai Chest Hospital, Shanghai, China from January 2018 to September 2021 were retrospectively reviewed, and the cases with KRAS gene mutation detected by next-generation sequencing were included. The clinicopathological and genetic mutation data of these cases were collected and analyzed. Results: A total of 1 633 (8.4%) NSCLC patients carried a KRAS gene mutation, among whom G12C was the most frequent (468 cases, 28.7%) mutant subtype. The mutation was more commonly found in males (414/468, 88.5%), patients with a history of smoking (308/468, 65.8%), and patients with a pathological type of invasive adenocarcinoma (231/468, 49.4%). The most common co-mutated genes in KRAS G12C mutant NSCLC were TP53 (52.4%, 245/468), STK11 (18.6%, 87/468) and ATM (13.2%, 62/468). The proportion of PD-L1 expression (≥1%) in KRAS G12C mutant NSCLC was significantly higher than that in patients without G12C mutation [64.3% (90/140) vs. 56.1% (193/344), P=0.014]. Immune checkpoint inhibitors (ICIs) treatment significantly prolonged progression-free survival (PFS) in NSCLC patients (10.0 months vs. 5.0 months, P=0.011). However, combination of chemotherapy and ICIs with anti-angiogenesis inhibitors or multi-target inhibitors did not significantly improve PFS in patients with KRAS G12C mutant NSCLC (P>0.05). Patients with KRAS G12C mutation NSCLC treated with ICIs and KRAS G12C patients with TP53 mutation had significantly longer median PFS than those with STK11 mutation (9.0 months vs. 4.3 months, P=0.012). Conclusions: Patients with KRAS G12C mutant NSCLC have relatively higher levels of PD-L1 expression and can benefit from ICIs treatment. The feasibility of chemotherapy, ICIs therapy and their combination needs further investigation.
Humans ; Male ; B7-H1 Antigen/genetics* ; Carcinoma, Non-Small-Cell Lung/pathology* ; China ; Lung Neoplasms/pathology* ; Mutation ; Proto-Oncogene Proteins p21(ras)/genetics* ; Retrospective Studies ; Female

Lung cancer is one of the common malignant tumors in the world, and its incidence and mortality is increasing year by year. Interactions between tumor cells and immune cells in the tumor microenvironment(TME) affect tumor proliferation, infiltration, and metastasis. Tumor-associated macrophages(TAMs) are prominent components of TME, and they have dual regulation effects on malignant progression of lung cancer. The number, activity, and function of M2 macrophages are related to the poor prognosis of lung cancer, and M2 macrophages participate in tumor angiogenesis and immune escape. It has been proved that traditional Chinese medicines(TCMs) and their active ingredients can enhance the antitumor effects, reduce the toxicity of chemotherapy and radiotherapy, and prolong the survival rates of patients with cancer. This paper summarized the role of TAMs in the lung cancer initiation and progression, explored the molecular mechanism of TCM in regulating the recruitment, polarization phenotype, activity, and expression of related factors and proteins of TAMs, and discussed related signal pathways in the prevention and treatment of lung cancer based on the TCM theory of "reinforcing healthy qi and eliminating pathogen". This paper is expected to provide new ideas for the immunotherapy of targeted TAMs.
Humans ; Tumor-Associated Macrophages/pathology* ; Medicine, Chinese Traditional ; Lung Neoplasms/genetics* ; Macrophages ; Immunotherapy ; Tumor Microenvironment

Humans ; Hematopoietic Stem Cell Transplantation ; Hemoglobinopathies/therapy* ; Hemoglobins, Abnormal

Hepatitis B virus (HBV) infection is closely associated with the adverse events such as liver cirrhosis, liver cancer, and liver failure and remains a serious threat to human health. Pegylated interferon is an indispensable drug for the treatment of chronic hepatitis B (CHB), and interferon-stimulated genes are associated with a variety of viruses, but few studies have mentioned their association with hepatitis B and their predictive effect after the treatment of hepatitis B with interferon. This article introduces the predictive factors for interferon treatment of CHB and summarizes the association of interferon-stimulated genes with hepatitis B and their predictive effect, so as to provide a reference for clinical work and basic research.

This study investigated the effect of puerarin on human umbilical vein endothelial cells (HUVEC) injured with hydrogen peroxide (H₂O₂). HUVEC were divided into three groups: a control group, a model group (H₂O₂ 400 μmol·L^-1) and a puerarin-treated group (3, 10, 30 and 100 μmol·L^-1). HUVEC were cultured with varied concentration of puerarin for 2 h and treated with H₂O₂ for another 24 h. Cell proliferation was detected by a CCK-8 assay. The mitochondrial membrane potential was measured by a JC-1 fluorescent probe. A transwell chamber assay was adopted to observe cell migration ability. Mitochondrial respiratory function was measured in a two-chamber titration injection respirometer (Oxygraph-2k). The expression of interleukin-1β (IL-1β), interleukin-18 (IL-18) and tumor necrosis factor-α (TNF-α) was detected by quantitative real-time PCR. The expression of pyroptosis-mediated proteins, including cleaved-cysteinyl aspartate-specific proteinase-1 (caspase-1), N-gasdermin D (N-GSDMD), NOD-like receptor protein 3 (NLRP3) and purinergic ligand-gated ion channel 7 receptor (P2X7R) was detected by Western blot. The results show that 400 μmol·L^-1 H₂O₂ treatment for 24 h causes obvious damage to HUVEC. Compared with the model group, puerarin protected against cellular injury in a dose-dependent manner, with the greatest effect at a dose of 30 and 100 μmol·L^-1. Puerarin significantly decreased the mitochondrial membrane potential and improved mitochondrial function. Puerarin inhibited cell migration induced by H₂O₂, suppressed the expression of IL-1β, IL-18 and TNF-α, and down-regulated the pyroptosis-mediated protein. These changes are statistically significant (P < 0.05). These findings demonstrate that puerarin has a protective effect against H₂O₂-induced oxidative damage of HUVEC by inhibiting the migration of HUVEC cells. The mechanism may be related to improved mitochondrial respiratory function and inhibition of pyroptosis.

INTRODUCTION: Singapore has one of the world's most rapidly ageing populations. Osteoporosis is associated with significant morbidity and mortality from hip fractures in the elderly. This pilot study aims to evaluate the knowledge, attitude and practice of osteoporosis among Singaporean women aged ≥ 65 years, and assess barriers to osteoporosis screening. METHODS: We conducted a cross-sectional survey of 99 English-speaking women aged ≥ 65 years at two SingHealth polyclinics by convenience sampling. The validated Osteoporosis Prevention and Awareness Tool was used to assess their knowledge about osteoporosis prevention and awareness and perceived barriers to osteoporosis screening. Osteoporosis health education was provided, and bone mineral density (BMD) screening was offered to all participants. RESULTS: The response rate was 91.6%. The majority of the participants (54.5%) had low knowledge of osteoporosis, and only 12.1% had high knowledge scores. Higher education levels were associated with higher knowledge scores (p = 0.018). Although participants with higher knowledge scores were more willing to undergo osteoporosis screening, these findings did not reach statistical significance (p = 0.067). The top reasons for declining BMD testing were misconceptions that lifestyle management is sufficient to prevent osteoporosis, poor awareness and knowledge of the disease, and the perceived high cost of BMD testing. CONCLUSION Interventions should focus on osteoporosis education and, eventually, BMD screening for less-educated patients. Health education should rectify common misconceptions of the disease, increase awareness of osteoporosis and improve screening rates.