Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

Cancer cells refer to a group of malignant cells with strong division and proliferation abilities.Cancer cells rely on the unstable plunder of human nutrition to sustain the large amount of energy that they need for their own division and proliferation.The division and proliferation of cancer cells are linked to the synthesis and replication of genetic material in the nucleus.Blockage or destruction of the synthesis of genetic material in cancer cells is one of the mechanisms underlying the action of most antitumor drugs.As the key material that dominates cell division,proliferation,and death,nuclear genetic material which mainly refers to the deoxyribonucleic acid located on the chromatin in the nucleus,plays a decisive role in the final fate of cells.The final fate of cancer cells after the damage of the genetic material is worthy of investigation and analysis.In this paper,we discuss and analyze the fate of cancer cells after genetic material damage from the aspect of cellular cycle arrest,apoptosis,autophagy,and senescence to provide ideas for the mechanism research on antitumor drugs.

Objective To observe the value of semi-quantitative parameters related to gated myocardial perfusion imaging(G-MPI)for predicting occurrence of major adverse cardiovascular events(MACE)in patients with chronic kidney disease(CKD).Methods Totally 148 CKD patients who underwent rest G-MPI(R-GMPI)(R-GMPI group,n=95)or stress/rest G-MPI(S/R-GMPI)(S/R-GMPI group,n=53)were retrospectively included.The patients were categorized into MACE subgroup and non-MACE subgroup according to MACE occurred or not during follow-up.Clinical data and G-MPI parameters were compared between subgroups,and independent predictors of MACE in CKD patients were obtained using multivariate Cox proportional hazards regression analysis.Receiver operating characteristic(ROC)curve was drawn,the area under the curve(AUC)was calculated to assess the efficacy of each independent predictor for predicting MACE.Among patients who underwent only R-GMPI,the optimal cut-off value of each parameter for predicting MACE was obtained by ROC curve analysis,and the risk of MACE was stratified,then Kaplan-Meier curves were drawn and compared with log-rank test.Results Among 95 patients who underwent only R-GMPI,compared with non-MACE subgroup,those in MACE subgroup had smaller body mass index(BMI)and higher proportion of previous myocardial infarction and hemodialysis,as well as higher R-GMPI left ventricle end-diastolic volume(R-LVEDV),left ventricle end-systolic volume(R-LVESV),sum rest score(R-SRS)but lower left ventricle ejection fraction(R-LVEF)(all P＜0.05),while R-SRS(HR=1.068,95％CI[1.027,1.110])and R-LVESV(HR=1.011,95％CI[1.005,1.017])were both independent predictors for MACE(both P＜0.05).Among 53 patients who underwent S/R-GMPI,compared with non-MACE subgroup,those in MACE subgroup had with higher blood creatinine and lower estimated glomerular filtration rate(eGFR),higher S-LVESV,R-LVEDV,sum stress score(SSS),SRS and sum difference score(SDS)(all P＜0.05),and SDS(HR=1.454,95％CI[1.063,1.989])was an independent predictor for MACE(P＜0.05).Among 95 CKD patients who underwent only R-GMPI,AUC of R-SRS and R-LVESV alone for predicting MACE was 0.659 and 0.694,respectively,and higher incidence of MACE was found in those w ith R-SRS ≥8 points,also in those with R-LVESV ≥91 ml(both P＜0.05).Conclusion G-MPI could be used to evaluate myocardial perfusion and function in CKD patients.For CKD patients just underwent only R-GMPI,R-SRS and R-LVESV were independent predictors for MACE,whereas SDS might be utilized to predict MACE in CKD patients who could undergo S/R-GMPI.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To elucidate the etiological and epidemiological characteristics and epidemiological patterns of viral acute respiratory infections (ARI) in Shanghai during 2023, with the aim of providing robust laboratory evidence for effective prevention and control strategies against related respiratory diseases and facilitating risk assessment.Methods:Respiratory pathogens were detected in the clinical surveillance specimens submitted by sentinel hospitals through multiplex PCR, as part of the multi-pathogen surveillance of acute respiratory infections in Shanghai during 2023. The obtained detection result were statistically analyzed in conjunction with sample information.Results:The positive detection rate of viral pathogens in 2023 was 21.17% (984/4 648), with rates of 33.53% (504/1 503) observed in ILI cases and 15.62% (480/3 145) in SARI cases. Influenza A virus (FluA) was the predominant virus detected, accounting for 13.7% (637/4 648). Other viruses identified in the surveillance samples included influenza B virus (Flu B), human rhinovirus/enterovirus (HRV/HEV), respiratory syncytial virus (RSV), human metapneumovirus (HMPV), parainfluenza virus (PIV), adenovirus (ADV) and human bocavirus (HBoV). Regarding temporal distribution, HRV/HEV and RSV exhibited the highest detection rates during the second quarter at 2.27% each (28/1 236). PIV had its peak during the third quarter at a rate of 2.49% (35/1 405), and HMPV showed prevalence mainly during the third and fourth quarters, with detection rates of 2.63% (37/1 405) and 2.35% (32/1 360), respectively.Conclusions:In acute respiratory infection surveillance cases in Shanghai in 2023, Flu A emerged as the predominant respiratory pathogen. The detection rate of HMPV ranked second only to Flu A, while other respiratory viruses such as HRV/HEV, RSV, and PIV were detected during different seasons and co-circulated. The prevalence of various respiratory viruses varied among different infected populations and over times.

Objective:To evaluate the predictive value of stress+ rest gated myocardial perfusion imaging (G-MPI) in assessing all-cause mortality risk in patients with familial hypercholesterolemia (FH).Methods:From June 2010 to March 2022, 72 patients (39 males, 33 females; age (21.1±12.3) years) who diagnosed with FH clinically and genetically and underwent stress+ rest G-MPI in Beijing Anzhen Hospital, Capital Medical University were retrospectively followed up. Image analysis was performed using the 17-segment 5-point method to obtain left ventricular myocardial perfusion and functional parameters. Patients were followed for all-cause mortality events, and predictors associated with the risk of all-cause mortality were analyzed using Cox regression. The efficiencies of predictors were evaluated by ROC curve analysis, and the Kaplan-Meier method and log-rank test were used to compare the differences in the incidence of all-cause mortality in different groups of patients with FH. Independent-sample t test or Mann-Whitney U test was used to analyze the data. Results:The follow-up time of 72 patients was 7(4, 10) years, and all-cause death occurred in 16(22.2%) patients during the follow-up period. There were statistically significant differences in total cholesterol (TC), low density lipoprotein cholesterol (LDLC), summed stress score (SSS), summed rest score (SRS), summed difference score (SDS), stress end-systolic volume (SESV), stress ejection fraction (SEF), rest end-diastolic volume (REDV), rest end-systolic volume (RESV) and rest ejection fraction (REF) between the death group and the survival group ( t values: from -2.65 to 4.47, z values: from -3.43 to -1.98, all P<0.05). Cox regression analysis showed that SDS (hazard ratio ( HR)=1.337, 95% CI: 1.114-1.604, P=0.002), SESV ( HR=1.019, 95% CI: 1.008-1.030, P<0.001) and LDLC ( HR=1.355, 95% CI: 1.049-1.749, P=0.020) were independent predictors associated with the risk of all-cause mortality in patients with FH. The optimal cut-off value of SESV for predicting mortality in patients with FH determined by ROC curve analysis was 35.5 ml, with the AUC of 0.701 (95% CI: 0.517-0.885). The incidence of all-cause mortality in the group with SESV≥35.5 ml was significantly higher than that in the group with SESV<35.5 ml (28.6% vs 6.9%; χ2=5.15, P=0.023). Conclusion:Stress+ rest G-MPI is an important imaging method for all-cause mortality risk assessment in patients with FH, and SDS, SESV and LDLC are important factors in predicting mortality in patients with FH.

Existing epidemiologic and clinical studies have demonstrated that obesity is associated with the risk of a variety of cancers. In recent years, an increasing number of experimental and clinical studies have unraveled the complex relationship between obesity and cancer risk and the underlying mechanisms. Obesity-induced abnormalities in immunity and biochemical metabolism, including chronic inflammation, hormonal disorders, dysregulation of adipokines, and microbial dysbiosis, may be important contributors to cancer development and progression. These contributors play different roles in cancer development and progression at different sites. Lifestyle changes, weight loss medications, and bariatric surgery are key approaches for weight-centered, obesity-related cancer prevention. Treatment of obesity-related inflammation and hormonal or metabolic dysregulation with medications has also shown promise in preventing obesity-related cancers. In this review, we summarize the mechanisms through which obesity affects the risk of cancer at different sites and explore intervention strategies for the prevention of obesity-associated cancers, concluding with unresolved questions and future directions regarding the link between obesity and cancer. The aim is to provide valuable theoretical foundations and insights for the in-depth exploration of the complex relationship between obesity and cancer risk and its clinical applications.
Humans ; Adipokines/metabolism* ; Bariatric Surgery ; Inflammation/therapy* ; Neoplasms/prevention & control* ; Obesity/therapy* ; Risk Factors

Objective To explore the predictive value of preoperative alkaline phosphatase to prealbumin ratio (APR) in prognosis and postoperative complications for patients with hepatocellular carcinoma (HCC) after radical tumor resection. Methods A total of 217 HCC patients who underwent radical tumor resection in the Department of Hepatobiliary Surgery of the Affiliated Hospital of Southwest Medical University from January 2013 to August 2021 were retrospectively recruited and their clinical data were statistically analyzed. The X-tile software was used to obtain the optimal cutoff value of APR. The χ 2 test was conducted to analyze association between preoperative APR and other clinicopathological characteristics. The Kaplan-Meier curve was plotted and the Log-rank test was performed to analyze survival of patients. The univariate and multivariate Cox proportional hazards regression models were used to analysis factors affecting the prognosis of HCC patients. The univariate analysis and multivariate Logistic regression were used to identify factors related with postoperative complications. The receiver operating characteristic (ROC) curve was used to determine the predicting value of APR. Results The optimal cutoff value for APR ratio was 0.5 and these 217 patients were divided into the low- and high APR groups (111 vs 106 cases) accordingly. Compared with the low-APR group, the proportion of patients with ALT (> 50 U/L), Alb (< 40 g/L), the CNLC of the III stage, open surgery, liver cirrhosis, multiple tumor lesions, postoperative complication, and major complication were significantly increased in the high-APR patients (all P < 0.05). Moreover, the 1-, 3-, and 5-year OS were 86.0%, 74.9%, and 71.3%, respectively in the low-APR patients, while the numbers were 79.2%, 57.5%, and 47.0%, respectively, in the high-APR patients, indicating that patients in high-APR group had significantly worse OS ( P =0.002). AFP ( HR =1.774, 95% CI : 1.107-2.843, P =0.017), CNLC stage ( HR =2.708, 95% CI : 1.514-4.844, P =0.001), tumor size ( HR =1.696, 95% CI : 1.060-2.714, P =0.028), and APR ( HR =2.022, 95% CI : 1.244-3.285, P =0.004) were all independent risk predictors for OS. The 1-, 3-, and 5-year RFS were 82.3%, 69.4%, and 61.3%, respectively, in the low-APR patients, whereas the numbers were 76.2%, 54.4%, and 44.2%, respectively in the high-APR patients, suggesting that high-APR patients had significantly worse recurrence-free survival ( P =0.016). The CNLC stage ( HR =2.509, 95% CI : 1.423-4.422, P =0.001), tumor size ( HR =1.725, 95% CI : 1.119-2.660, P =0.014), and APR ( HR =1.619: 95% CI : 1.037-2.527, P =0.034) were all independent FRS predictors. Hypertension ( OR =3.09, 95% CI : 1.385-6.893, P =0.006), open surgery ( OR =4.198, 95% CI : 1.779-9.907, P =0.001), liver cirrhosis ( OR =2.376, 95% CI : 1.194-4.729, P =0.014), and APR ( OR =2.151, 95% CI : 1.160-3.986, P =0.015) were all independent risk predictors for the postoperative major complications. The AUC for APR, ALP, a nd PA in predicting the major complications was 0.625 (95% CI : 0.547-0.702), 0.613 (95% CI : 0.534-0.693), and 0.554 (0.474-0.634). Conclusion Preoperative APR could be used to predict prognosis and postoperative major complications of HCC patients after radical tumor resection.

AIM: To explore the key genes and molecular markers involved in the retinoblastoma development through bioinformatics.METHODS: The mRNA microarray datasets from the Gene Expression Omnibus(GEO)database were obtained, and the differentially expressed gene(DEG)between retinoblastoma cell lines and normal retinal pigment epithelial(RPE)cell lines were analyzed through gene ontology(GO)and KEGG enrichment analysis. To screen key genes, establish protein-protein interaction(PPI)network, and use receiver operating characteristic(ROC)curve to assess clinical diagnostic efficacy. The RNA expressions of key genes in retinoblastoma cell lines and normal RPE cell lines were compared by qRT-PCR.RESULTS: A total of 121 DEGs were obtained from the retinoblastoma dataset of GSE97508 and GSE110811. KEGG pathway analysis showed that DEG were enriched in phototransduction, cell cycle, and p53 signaling pathways. A total of 9 key genes, including MCM6, DTL, UBE2T, TOP2A, NUSAP1, CENPK, RRM2, RLBP1, and RHO, were obtained from the intersection of PPI network analysis and the top 30 DEG from each dataset. The differentially expressed 9 key genes were verified in GSE24673. ROC analysis showed that the area under the curve(AUC)for UBE2T, RRM2, and RHO was ≥80%, and there was a statistical significance(P>0.05). The mRNA level of UBE2T and RRM2 in retinoblastoma was significantly higher than APRE-19 cell line, while the mRNA level of RHO was significantly lower than that of ARPE-19 cell line.CONCLUSION: UBE2T, RRM2, and RHO may be served as potential molecular markers and potential therapeutic targets for retinoblastoma.

Humans ; Consensus ; Pancreatic Neoplasms/therapy* ; Neuroendocrine Tumors/therapy*