Chinese Multicenter Cohort Research Articles

Impact of Platelet-to-HDL-Cholesterol Ratio on Long-Term Mortality in Coronary Artery Disease Patients with or Without Type 2 Diabetes: Insights from a Chinese Multicenter Cohort.

Inflammation contributes to the initiation and advancement of both coronary atherosclerosis and type 2 diabetes mellitus (T2DM). Recent evidence has underscored the platelet-to-HDL-cholesterol ratio (PHR) as a promising inflammatory biomarker closely linked to the severity of coronary artery disease (CAD). Nevertheless, the risk of adverse clinical outcomes remains unclear among CAD patients with varying PHR levels and glycemic status. A total of 56,316 CAD patients were enrolled, primarily focusing on mortality outcomes. Patients were categorized into four subgroups based on median baseline PHR values and glycemic status: lower PHR (PHR-L) and higher PHR (PHR-H) with or without T2DM. Cox proportional hazard model and subgroup analysis were employed to investigate the association between PHR and glycemic status with mortality. Over a median 5.32-year follow-up, 8909 (15.8%) patients experienced all-cause mortality, with 3873 (6.9%) deaths attributed to cardiovascular causes. Compared to individuals in PHR-L/non-DM, those in PHR-H/non-DM, PHR-L/DM and PHR-H/DM groups exhibited a higher risk of all-cause death [adjusted hazard ratio (HR) 1.12, 95% confidence interval (CI) 1.06-1.18; HR 1.21, 95% CI 1.14-1.29; HR 1.43, 95% CI 1.34-1.52, respectively], as well as cardiac mortality [HR 1.19, 95% CI 1.08-1.30; HR 1.58, 95% CI 1.44-1.74; HR 1.89, 95% CI 1.72-2.07, respectively]. Cox proportional hazard model also revealed the highest mortality risk among patients in PHR-H/DM compared to other groups (P <0.05). Restricted cubic spline regression analysis revealed a positive linear association between PHR and all-cause as well as cardiac mortality (P for non-linearity >0.05) after adjustment. Additionally, subgroup analysis indicated consistent effects on cardiac mortality within diverse subsets. In this real-world observational cohort analysis, elevated PHR levels joint with T2DM were related to adverse long-term clinical outcomes in CAD patients. PHR levels may serve as a valuable tool for identifying high-risk individuals within this specific group. The Cardiorenal ImprovemeNt II registry NCT05050877.

Diagnostic value of a novel salivary gland ultrasound scoring system in IgG4-related sialadenitis.

To develop a novel ultrasound scoring system for the major salivary glands in patients with immunoglobulin G4-related sialadenitis (IgG4-RS) and assess its diagnostic value in a multicenter cohort of Chinese patients. Twenty clinicians (rheumatologists, stomatologists, and radiologists) participated. The study was conducted in four steps: (1) defining the ultrasonography (US) elements, (2) developing a novel ultrasound scoring system for US of the salivary glands, (3) evaluation of inter- and intra-reader reliabilities using the new ultrasound scoring system, and (4) assessing the diagnostic value of this novel ultrasound scoring system in IgG4-RS patients in a Chinese multicenter cohort. A novel ultrasound scoring system for the salivary glands was developed, with total scores ranging from 0 to 34. The inter- and intra-reader reliabilities of the ultrasound scoring system were excellent (0.972 and 0.940, respectively). A total of 470 people were recruited in this study; 187 patients were diagnosed with IgG4-RS, and the remaining 283 people were diagnosed with non-IgG4-RS. Patients with IgG4-RS had significantly higher US scores than the non-IgG4-RS group (mean US score=16 vs. 4, P < 0.001). The calculated area under the curve (AUC) for the total US score was 0.852 (95% CI: 0.814-0.891). The total US scores≥9 showed a sensitivity of 75.4% and a specificity of 91.9%. Association analysis showed a positive correlation between total US scores and serum IgG4 levels and hypocomplementemia (r=0.221, r=0.349; P = 0.002) and a negative correlation between total US scores and serum C3 and C4 levels (r=-0.210, r=-0.303; P = 0.005, P < 0.001). A novel semiquantitative ultrasound scoring system for patients with IgG4-RS was developed, with good diagnostic performance. The inter- and intra-reader reliabilities were excellent. US scores were correlated with IgG4, C3, and C4 levels and hypocomplementemia.

Retracted: Development and Validation of a Nomogram for Predicting Mortality in Patients with Atrial Fibrillation and Acute Coronary Syndrome Who Underwent Percutaneous Coronary Intervention in a Chinese Multicenter Cohort

Retracted: Development and Validation of a Nomogram for Predicting Mortality in Patients with Atrial Fibrillation and Acute Coronary Syndrome Who Underwent Percutaneous Coronary Intervention in a Chinese Multicenter Cohort

Development and Validation of a Machine-Learning Model to Predict POD24 Risk of Follicular Lymphoma

Background: Disease progression or relapse within 24 months after starting treatment (POD24) has been considered as an independent unfavorable factor in follicular lymphoma (FL). This study was to explore the discriminative accuracy of a machine learning-based (ML) model within different ethnic groups for identifying FL1-3a patients at higher risk for POD24. Methods: 1938 FL1-3a patients were enrolled from a Chinese multicenter cohort and randomly subdivided into a training cohort and an internal validation cohort. An external validation cohort included 1145 patients from the GALLIUM Study within different ethnicity. Univariable regression analysis with backward selection for inclusion of predictor variables and nonlinear analysis based on the XGBoost algorithm were used to develop a ML model for predicting POD24. For internal and external validation, the time-dependent area under the receiver operating characteristic curve (AUROC) was used to investigate the model's predictive performance, compared with established traditional models such as Follicular Lymphoma International Prognostic Index (FLIPI), FLIPI-2 and PRIMA-PI. The calibration and clinical usefulness of the ML model were evaluated using calibration plots and decision curve analyses, respectively. Results: During the follow-up period, 383 (19.7%) and 405 (36.3%) of patients who experienced POD24 were identified in the Chinese cohort and the GALLIUM Study, respectively. In the training cohort, important features of POD24 based on the XGBoost algorithm were ranked by SHAP analysis. Increased lymphocyte-to-monocyte ratio (LMR&amp;gt;10) ranked first (scoring 2), followed by elevated lactate dehydrogenase (LDH), hemogolobin reduction (HGB&amp;lt;12g/dl), elevated beta-2 microglobulin (B2-MG), higher maximum standardized uptake value (SUVmax&amp;gt;10), and 4 or more involved lymph nodes (each scoring 1) were incorporated into the new ML model, referred to as FLIPI-C. The new model performed well in predicting PFS as well as OS, and stratified patients into low- (0-3) and high-risk groups (4-7). In internal validation, FLIPI-C demonstrated a higher AUROC of 0.764 (95%CI:0.721-0.806) for POD24 prediction compared with 0.648 (95%CI: 0.599-0.696) of FLIPI, 0.706 (95%CI: 0.658-0.754) of FLIPI-2 and 0.716 (95%CI: 0.669-0.763) of PRIMA-PI. In external validation with GALLIUM Study, FLIPI-C demonstrated a higher AUROC of 0.701 (95%CI: 0.659-0.741) for POD24 prediction compared with 0.578 (95%CI: 0.531-0.625) of FLIPI, 0.600 (95%CI: 0.554-0.645) of FLIPI-2 and 0.593 (95%CI: 0.547-0.639) of PRIMA-PI. In addtion, the FLIPI-C model had adequate calibration with similar predicted and observed risk of POD24. In decision curve analysis, FLIPI-C yielded improved net benefits compared with FLIPI, FLIPI-2 and PRIMA-PI. Conclusions: TheFLIPI-C model generated using a machine learning approach exhibited greater discriminative accuracy than prior established traditional models for predicting POD24 and is valuable for treatment selection and prognostic assessment of FL.

L-GrAFT7 has High Accuracy in Predicting Early Allograft Failure after Liver Transplantation: A Multicenter Cohort Study in China.

Increasing utilization of extended criteria donor leads to an increasing rate of early allograft failure after liver transplantation. However, consensus of definition of early allograft failure is lacking. A retrospective, multicenter study was performed to validate the Liver Graft Assessment Following Transplantation (L-GrAFT) risk model in a Chinese cohort of 942 adult patients undergoing primary liver transplantation at three Chinese centers. L-GrAFT (L-GrAFT7 and L-GrAFT10) was compared with existing models: the Early Allograft Failure Simplified Estimation (EASE) score, the model of early allograft function (MEAF), and the Early Allograft Dysfunction (EAD) model. Univariate and multivariate logistic regression were used to find risk factors of L-GrAFT high-risk group. L-GrAFT7 had an area under the curve of 0.85 in predicting 90-day graft survival, significantly superior to MEAF [area under the curve (AUC=0.78, p=0.044)] and EAD (AUC=0.78, p=0.006), while there was no statistical significance between the predicting abilities of L-GrAFT7 and EASE (AUC=0.84, p>0.05). Furthermore, L-GrAFT7 maintains good predicting ability in the subgroup of high-donor risk index (DRI) cases (AUC=0.83 vs. MEAF, p=0.007 vs. EAD, p=0.014) and recipients of donors after cardiac death (AUC=0.92 vs. EAD, p<0.001). Through multivariate analysis, pretransplant bilirubin level, units of packed red blood cells, and the DRI score were selected as independent risk factors of a L-GrAFT7 high-risk group. The accuracy of L-GrAFT7 in predicting early allograft failure was validated in a Chinese multicenter cohort, indicating that it has the potential to become an accurate endpoint of clinical practice and transitional study of machine perfusion.

Clinical characteristics and prognosis analysis of patients with de novo ASXL1-mutated AML treated with the C-HUNAN-AML-15 protocol: A multicenter study by the South China Pediatric AML Collaborative Group.

ASXL1 mutation is an independent prognostic factor in adult acute myeloid leukemia (AML), but its effect on the prognosis of pediatric AML is poorly understood. This study aimed to investigate the clinical characteristics and prognostic factors of ASXL1-mutant pediatric AML from a large Chinese multicenter cohort. A total of 584 pediatric patients with newly diagnosed AML from 10 centers in South China were enrolled. The exon 13 of ASXL1 was amplified by polymerase chain reaction (PCR), and then analyzed the mutation status of the locus. (n = 59 for ASXL1-mut group, n = 487 for ASXL1-wt group). ASXL1 mutations were found in 10.81% of all patients with AML. A complex karyotype was significantly less common in the ASXL1-mut AML group than in the ASXL1-wt group (1.7% vs. 11.9%, p = 0.013). Furthermore, TET2 or TP53 mutations were predominantly found in the ASXL1+ group (p = 0.003 and 0.023, respectively). The 5-year overall survival (OS) and event-free survival (EFS) of the total cohort were 76.9% and 69.9%. In ASXL1-mut AML patients, a white blood cell (WBC) count ≥50 × 109 /L had significantly poorer 5-year OS and EFS than a WBC count <50 × 109 /L (78.0% vs. 44.6%, p = 0.001; 74.8% vs. 44.6%, p = 0.003, respectively), while receiving hematopoietic stem cell transplantation (HSCT) had a higher 5-year OS and EFS (84.5% vs. 48.5%, p = 0.024; 79.5% vs. 49.3%, p = 0.047, respectively). In the multivariate Cox regression analysis, patients with high-risk AML undergoing HSCT tended to have a better 5-year OS and EFS than those receiving chemotherapy as a consolidation (HR = 0.168 and 0.260, both p < 0.001), and WBC count ≥50 × 109 /L or failure to achieve complete response after the first course were independent adverse predictors of OS and EFS (HR = 1.784 and 1.870, p = 0.042 and 0.018; HR = 3.242 and 3.235, both p < 0.001). The C-HUANA-AML-15 protocol is a well-tolerated and effective in the treatment of pediatric AML. ASXL1 mutation is not an independent adverse prognosis predictor for survival in AML, whereas ASXL1-mut patients tend to have a poor prognosis if WBC count ≥50 × 109 /L, but they can benefit from HSCT.

Constructing prediction models for excessive daytime sleepiness by nomogram and machine learning: A large Chinese multicenter cohort study.

ObjectiveAlthough risk factors for excessive daytime sleepiness (EDS) have been reported, there are still few cohort-based predictive models for EDS in Parkinson’s disease (PD). This 1-year longitudinal study aimed to develop a predictive model of EDS in patients with PD using a nomogram and machine learning (ML).Materials and methodsA total of 995 patients with PD without EDS were included, and clinical data during the baseline period were recorded, which included basic information as well as motor and non-motor symptoms. One year later, the presence of EDS in this population was re-evaluated. First, the baseline characteristics of patients with PD with or without EDS were analyzed. Furthermore, a Cox proportional risk regression model and XGBoost ML were used to construct a prediction model of EDS in PD.ResultsAt the 1-year follow-up, EDS occurred in 260 of 995 patients with PD (26.13%). Baseline features analysis showed that EDS correlated significantly with age, age of onset (AOO), hypertension, freezing of gait (FOG). In the Cox proportional risk regression model, we included high body mass index (BMI), late AOO, low motor score on the 39-item Parkinson’s Disease Questionnaire (PDQ-39), low orientation score on the Mini-Mental State Examination (MMSE), and absence of FOG. Kaplan–Meier survival curves showed that the survival prognosis of patients with PD in the high-risk group was significantly worse than that in the low-risk group. XGBoost demonstrated that BMI, AOO, PDQ-39 motor score, MMSE orientation score, and FOG contributed to the model to different degrees, in decreasing order of importance, and the overall accuracy of the model was 71.86% after testing.ConclusionIn this study, we showed that risk factors for EDS in patients with PD include high BMI, late AOO, a low motor score of PDQ-39, low orientation score of MMSE, and lack of FOG, and their importance decreased in turn. Our model can predict EDS in PD with relative effectivity and accuracy.

Development and Validation of a Nomogram for Predicting Mortality in Patients with Atrial Fibrillation and Acute Coronary Syndrome Who Underwent Percutaneous Coronary Intervention in a Chinese Multicenter Cohort.

Background This study is aimed at to establish an effective prognostic nomogram for patients with atrial fibrillation (AF) and acute coronary syndrome (ACS) underwent percutaneous coronary intervention (PCI). Methods The nomogram was based on a retrospective study of 977 patients with AF and ACS who underwent PCI who were admitted to any of the 11 tertiary hospitals in the Beijing area between 2009 and 2015. The predictive accuracy and discriminative ability of the nomogram were determined by a concordance index (C-index) and calibration curve and were compared using current risk scores such as GRACE, CRUSADE, CHA2DS2-VASc, and HAS-BLED. The results were validated using bootstrap resampling and a retrospective cohort study of 409 patients enrolled in Fuwai Hospital at the same institution. Results Independent factors derived from multivariable analysis of the primary cohort to predict all-cause mortality were age, pattern of ACS, red blood cell distribution width, N-terminal proBNP, and serum creatinine, all of which were assembled into the nomogram. The calibration curve for the probability of recurrence showed that the nomogram-based predictions were in good agreement with actual observations. The C-index of the nomogram for predicting mortality was 0.764 (95% CI, 0.718-0.810), which was statistically higher than the C-index values for the current risk scores (from 0.573 to 0.681). In the validation cohort, the C-index of the nomogram for predicting all-cause death was 0.706 (95% CI 0.601-0.811), with no significant differences compared with GRACE and CRUSADE, but better than that of CHA2DS2-VASc and HAS-BLED. Conclusions The nomogram has good prognostic prediction for patients with AF and ACS who underwent PCI.

Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study

Autonomic dysfunction (AutD) is one of the non-motor symptoms (NMSs) in Parkinson’s disease (PD). To investigate the prevalence and clinical features of AutD in Chinese patients with PD, a large multicenter cohort of 2,556 individuals with PD were consecutively involved in the Parkinson’s Disease and Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC) between January 1, 2017, and December 31, 2019. The assessment of AutD was performed using the Scale for Outcomes in Parkinson’s Disease for Autonomic Symptoms (SCOPA-AUT). The evaluation of motor symptoms and other NMSs were performed using well-established scales recommended by the Movement Disorder Society. We found that out of 2,556 patients with PD, 2,333 patients with PD (91.28%) had AutD. Compared with the group of patients with PD without AutD, the group of patients with PD with AutD had older age, older age of onset, longer disease duration, more severe motor symptoms, motor complications, and more frequent NMSs. As for partial correlation analysis, the total SCOPA-AUT score was significantly and positively associated with motor severity scales [Unified Parkinson’s Disease Rating Scale (UPDRS) total score] and some of the NMSs [Rapid Eye Movement Sleep Behavior Disorder Questionnaire (RBD), Epworth Sleepiness Scale, Hamilton Depression Scale], Fatigue Severity Scale, and Parkinson’s disease questionnaire. PD Sleep Scale was significantly and negatively correlated with AutD. With logistic regression analysis for potentially related factors, age, UPDRS total score, RBD, hyposmia, depression, and fatigue may be associated with PD with AutD. In conclusion, our multicenter cohort study reported the high prevalence of AutD in Chinese PD and revealed the associated factors of PD with AutD.

Prevalence and risk factors for left ventricular diastolic dysfunction in systemic sclerosis: a multi-center study of CRDC cohort in China.

Left ventricular diastolic dysfunction (LVDD) is a common manifestation of cardiac involvement in systemic sclerosis (SSc), which is associated with increased mortality, but little is known about the risk factors. The aim is to determine the frequency and potential predictors of SSc-LVDD. We conducted a prospective multi-center cohort study, enrolling 784 SSc patients assessed by echocardiography between April 2008 and June 2019. Diagnosis of systemic sclerosis was according to the 2013 American College of Rheumatology (ACR)/the European League Against Rheumatism (EULAR) classification criteria. Data were compared between patients with and without LVDD, while univariate and multivariate regression analysis was performed to determine the factors independently associated with LVDD. LV diastolic dysfunction was present in 246/784 (31.4%) of the subjects. There were no significant differences in gender, BMI, or disease duration between the two groups. Around 40% of the patients in the SSc-LVDD group and in the SSc-non LVDD group had diffused cutaneous involvements. Factors independently associated with LV diastolic dysfunction in multivariable analysis included age at onset (OR 1.053, 95%CI 1.021-1.086, p = 0.001), pulmonary arterial hypertension (OR 3.057, 95%CI 1.468-6.367, p = 0.003), positivity of anti-RNP antibody (OR 2.455, 95%CI 1.049-5.745, p = 0.038), increased WBC count (OR 1.156, 95%CI 1.037-1.287, p = 0.009), elevated levels of uric acid (OR 1.003, 95%CI 1.000-1.006, p = 0.036), and triglyceride (OR 1.515, 95%CI 1.106-2.077, p = 0.010). LV diastolic dysfunction was prevalent in the SSc population. Advanced onset age, PAH, positive anti-RNP antibody, increased WBC count, and adverse metabolic status were independent risk factors for SSc-related LVDD. Key Points • In this Chinese multi-center cohort of systemic sclerosis, LVDD is not a rare complication, with a prevalence of 31.4%. • The presence of advanced onset age, PAH, positive anti-RNP antibody, increased WBC count and adverse metabolic status were baseline predictors of developing LVDD in SSc.

A Nomogram to Predict Individual Survival of Patients with Liver-Limited Metastases from Gastroenteropancreatic Neuroendocrine Neoplasms: A US Population-Based Cohort Analysis and Chinese Multicenter Cohort Validation Study

Introduction: Although gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) with liver metastasis encompass a wide variety of clinical conditions with various prognosis, no statistical model for predicting the prognosis of these patients has been established. We sought to establish a more elaborative and individualized nomogram to predict survival of patients with liver-limited metastatic GEP-NENs. In addition, this nomogram was validated by both the Surveillance, Epidemiology, and End Results (SEER) database and a Chinese multicenter cohort. Methods: Patients diagnosed with GEP-NENs with liver-limited metastasis between 2010 and 2016 were identified from the SEER database. Kaplan-Meier survival analysis was performed to analyze survival outcomes. A nomogram was established based on the independent prognostic variables identified from univariate and multivariate Cox regression analyses. The nomogram was evaluated in both an internal validation SEER dataset and an external validation dataset composed of patients from the Chinese multicenter cohort. Results: A total of 1,474 patients from the SEER database and 192 patients from the multicenter cohort were included. Age, tumor size, differentiation, primary tumor resection, and liver metastasis resection were identified as independent prognostic factors by univariate and multivariate Cox analyses and were verified by Kaplan-Meier survival analysis (all p < 0.0001). A nomogram was developed and validated by calibration curves and areas under the curve of the external validation cohort, which showed good consistency and veracity in predicting overall survival. Conclusion: A nomogram was developed for the first time to predict the survival of patients with liver-limited metastases from GEP-NENs. Both internal and external validation demonstrated excellent discrimination and calibration of our nomogram. Based on this prognostic model, clinicians could develop more personalized treatment strategies and surveillance protocols.

Early diagnosis of WT1 nephropathy and follow up in a Chinese multicenter cohort

BackgroundWT1 mutations cause a wide spectrum of renal and extrarenal manifestations concerning urogenital development and the development of tumors. MethodsWe retrospectively collected the information on the genotype and phenotype of WT1 nephropathy from the multicenter registry since 2014 to 2019. All patients were stratified by renal function decline status or by sequence timing. Rapid progressive group was defined as rapidly developing into ERSD within 12 months since disease onset. Early sequencing group was defined as gene mutation identified before ERSD. ResultsThirty-three (3.5%) cases were identified with a WT1 mutation in patients with steroid resistant nephrotic syndrome (SRNS), proteinuria and chronic kidney disease (CKD) 3–5 stage of unknown origin. ESRD developed in twenty patients at a median age of 4.3 years old. Comparing study between the rapid progressive group (n = 8) and non-rapid progressive group (n = 25) showed no significant difference in age of onset, gender, syndrome phenotype, genotype and proteinuria except for initial estimated glomerular filtration rate (eGFR) (p = 0.021) or sequencing timing (p = 0.003). In multivariable logistic regression analysis, the delayed sequencing was associated with rapid renal function decline, even after adjusting for established clinical factors including syndromic phenotype, genotype, age onset and eGFR at initial stage (p = 0.019). The renal survival analysis did not show a significantly better outcome in early sequencing group than in delayed sequencing group (p > 0.05). ConclusionScreening for WT1 mutations should be performed in children with Wilms’ tumor, proteinuria/SRNS or CKD. Early diagnosis of WT1 nephropathy through clinical and genetic findings is warranted.

Can a Novel NAFO Nomogram Improve Prediction of the Neurological Function at Discharge in Acut Ischemic Stroke Patients with Mechanical Thrombectomy? A Chinese Multicenter Cohort Study

Purpose: We aimed to develop a nomogram for individualized prediction of neurological impairment for acute ischemic stroke (AIS) patients with mechanical thrombectomy (MT). Methods: We conducted a multicenter prospective study in Chinese AIS patients with MT from January 2014 to December 2018. The clinical outcome was the neurological impairment at discharge. The nomogram was generated by multivariate logistic regression analysis for predicting the probability of neurological impairment using a forward stepwise method that included age, NIHSS (National Institutes of Health Stroke Scale) score on admission, fasting blood glucose (FBG), creatinine, clinical and demographic characteristics as pre-established variables. We assessed the discriminative performance by using the area under the receiver-operating characteristic curve (AUC-ROC) and calibration of neurological impairment prediction model by using the Hosmer-Lemeshow test. Results: The study included 238 patients, NIHSS score on admission (OR: 1.148, p &lt; 0.0001), Age (OR: 1.028, p = 0.031), FBG (OR: 1.147, p = 0.025) and OTT (OR: 1.002, p=0.013) remained independent predictors of neurological impairment to develop the NAFO nomogram in Chinese AIS patients with MT. The AUC-ROC value of the NAFO nomogram was 0.792 (95% CI: 0.733 – 0.851) in the cohort. Calibration was good (p = 0.459 for the Hosmer-Lemeshow test). Conclusions: The NAFO nomogram is the first nomogram developed and validated in Chinese AIS patients with MT and it may be used to predict the neurological impairment for these patients.

A nomogram for individualized estimation of survival among adult patients with adrenocortical carcinoma after surgery: a retrospective analysis and multicenter validation study

BackgroundClinical outcome of adrenocortical carcinoma (ACC) varies because of its heterogeneous nature and reliable prognostic prediction model for adult ACC patients is limited. The objective of this study was to develop and externally validate a nomogram for overall survival (OS) prediction in adult patients with ACC after surgery.MethodsBased on the data from the Surveillance Epidemiology, and End Results (SEER) database, adults patients diagnosed with ACC between January 1988 and December 2015 were identified and classified into a training set, comprised of 404 patients diagnosed between January 2007 and December 2015, and an internal validation set, comprised of 318 patients diagnosed between January 1988 and December 2006. The endpoint of this study was OS. The nomogram was developed using a multivariate Cox proportional hazards regression algorithm in the training set and its performance was evaluated in terms of its discriminative ability, calibration, and clinical usefulness. The nomogram was then validated using the internal SEER validation, also externally validated using the Cancer Genome Atlas set (TCGA, 82 patients diagnosed between 1998 and 2012) and a Chinese multicenter cohort dataset (82 patients diagnosed between December 2002 and May 2018), respectively.ResultsAge at diagnosis, T stage, N stage, and M stage were identified as independent predictors for OS. A nomogram incorporating these four predictors was constructed using the training set and demonstrated good calibration and discrimination (C-index 95% confidence interval [CI], 0.715 [0.679–0.751]), which was validated in the internal validation set (C-index [95% CI], 0.672 [0.637–0.707]), the TCGA set (C-index [95% CI], 0.810 [0.732–0.888]) and the Chinese multicenter set (C-index [95% CI], 0.726 [0.633–0.819]), respectively. Encouragingly, the nomogram was able to successfully distinguished patients with a high-risk of mortality in all enrolled patients and in the subgroup analyses. Decision curve analysis indicated that the nomogram was clinically useful and applicable.ConclusionsThe study presents a nomogram that incorporates clinicopathological predictors, which can accurately predict the OS of adult ACC patients after surgery. This model and the corresponding risk classification system have the potential to guide therapy decisions after surgery.

Prognosis of the 8th TNM Staging System for Penile Cancer and Refinement of Prognostication by Incorporating High Risk Human Papillomavirus Status.

We evaluated the prognostic value of the 8th TNM staging system and assessed a modified N stage incorporating high risk human papillomavirus status in a multicenter cohort. Included in analysis were 292 patients with M0 penile squamous cell carcinoma from a total of 6 referral centers. High risk human papillomavirus status was examined. The Chinese multicenter cohort of 230 patients was used to validate the 8th TNM staging system and propose a modified N classification. The modified classification was further validated in an independent cohort of 62 patients at Moffitt Cancer Center. Median followup was 48.9 months. Of the patients 42% had node positive disease. In the primary cohort the 8th TNM staging system achieved better discriminative ability compared with the 7th edition (C-index 0.769 vs 0.751, p=0.029). The 8th N category better stratified survival between pN1 and pN2 (p <0.001) and reclassified 15% of node positive cases into pN1 with 64% 5-year overall survival. High risk human papillomavirus status further stratified pN2-3 disease (p=0.040) and pN2-3 high risk human papillomavirus negative status was associated with 32% 5-year survival. The newly proposed 3-tier classification (1-pN1, 2-pN2-3 high risk human papillomavirus positive and 3-pN2-3 high risk human papillomavirus negative) significantly increased the C-index from 0.620 to 0.666 compared with the 8th N classification of pN1 and pN2-3 (p=0.04). In the external validation cohort significantly improved results were observed using the modified N classification (C-index 0.567-0.641, p=0.027). The 8th edition of the AJCC (American Joint Committee on Cancer) Staging System for penile cancer showed better discriminative ability for prognostic stratification. Adding high risk human papillomavirus status further improved the prognostic stratification in patients with node positive disease.

Anatomic extent of lymph node metastases as an independent prognosticator in node-positive major salivary gland carcinoma: A study of the US SEER database and a Chinese multicenter cohort

BackgroundWe aimed to explore whether the anatomic extent of lymph node metastases (AE-LNM) could independently predict prognosis of node-positive major salivary gland carcinoma (MaSGC). MethodsA total of 376 pathologically node-positive MaSGC patients were identified from the Surveillance, Epidemiology and End Results database and constituted the training cohort. Using the X-Tile program, these patients were divided into three groups based on AE-LNM degrees. Discrimination of overall survival (OS) and disease-specific survival (DSS) was evaluated and compared with the 8th American Joint Committee on Cancer (AJCC) pN classification. The results were externally validated by 220 patients in a Chinese multicenter cohort (Validation cohort). ResultsUsing the training cohort, AE-LNM was divided into Extent 1 (spread to parotid LNs or level I), Extent 2 (spread to level II-IV) and Extent 3 (spread to level V or bilateral LNs or rare LNs). Regarding both OS and DSS, the AE-LNM model revealed clear separation of survival curves, while the pN classification failed to discriminate the prognosis of pN1 and pN2 patients. When we incorporated both the AE-LNM model and AJCC pN classification into the same multivariate Cox analyses, AE-LNM was still an independent prognostic factor, while the AJCC pN classification lost its significance. These results were externally validated by the validation cohort. ConclusionAE-LNM is an independent nodal prognosticator for node-positive MaSGC and may have improved discriminative ability over the current AJCC pN classification. Integration of anatomic extent of LNM into the current AJCC N classification could be considered.

Impact of crizotinib on long-term survival of ALK-positive advanced non-small-cell lung cancer: A Chinese multicenter cohort study.

ObjectiveCrizotinib has demonstrated promising efficacy in patients with anaplastic lymphoma kinase (ALK)-positive non-small-cell lung cancer (NSCLC) in clinical trials. We conducted this retrospective multicenter study to assess the outcomes of crizotinib therapy in, to our knowledge, a large sample cohort of patients with ALK-positive advanced NSCLC. MethodsWe reviewed the medical records of 484 unselected ALK-positive NSCLC patients treated with crizotinib at 5 cancer centers in China from January 2013 to November 2017. Clinical data were collected from the initiation of crizotinib therapy to Response Evaluation Criteria in Solid Tumors (RECIST)-defined progressive disease (PD). ResultsA total of 428 eligible ALK-positive NSCLC patients were enrolled, 273 (63.8%) of whom received crizotinib as first-line treatment. The median progression-free survival (PFS) and overall survival (OS) from the initiation of crizotinib treatment were 14.4 [95% confidence interval (95% CI), 12.4−16.4] months and 53.4 (95% CI, 33.7−73.1) months, respectively. In subgroup analyses, patients who received crizotinib as first-line treatment showed a higher disease control rate (DCR) and a longer median OS compared with second-/later-line crizotinib treatment (94.8% and OS not reachedvs. 89.0% and 40.5 months, respectively). For 261 patients with RECIST-defined PD, multivariate Cox analysis revealed that in patients who received first-line crizotinib therapy, continued crizotinib beyond progressive disease (CBPD) and next-generation ALK inhibitors after crizotinib failure were associated with improved survival. ConclusionsThis study has demonstrated the clinically meaningful benefit of crizotinib treatment in a large cohort of Chinese ALK-positive NSCLC patients. CBPD and next-generation ALK inhibitor treatment may provide improved survival after RECIST-defined progression on crizotinib.

Prevalence and Reclassification of &lt;i&gt;BRCA1&lt;/i&gt; and &lt;i&gt;BRCA2&lt;/i&gt; Variants in a Large Unselected Chinese Han Breast Cancer Cohort

Background: Accurate interpretation of BRCA1/2 variants is critical for risk assessment, enhanced cancer surveillance, prevention strategies, and precise clinical treatment of breast cancer. However, current worldwide standards depend primarily on sequencing information from Caucasian populations. Methods: Panel-based sequencing served to detect BRCA1/2 variants in a Chinese multicenter cohort of 21,216 breast cancer patients (BCs) and 6,434 healthy controls (HCs). Findings: 1,245 pathogenic variants of BRCA1/2, 262 of which were novel (21.04%), and 2,517 variants of uncertain significance (VUS) were identified. Unlike in the Caucasian population, BRCA2 variants were more frequent than BRCA1 variants (56.34% versus 43.66%). The 48 most common variants accounted for 39.86% of all pathogenic variants, and were not reported as common variants in Caucasians. Furthermore, we unambiguously reclassified VUS in 508 subjects, lowering the VUS ratio from 9.05% to 7.21%. Pathogenic BRCA1/2 variants correlated with younger onset age, higher frequencies of bilateral and triple-negative BC, invasive carcinomas, high histological grades, and family history of BC and other cancers. Interpretation: Strong ethnicity-specific occurrences of pathogenic BRCA1/2 variants were identified in the Chinese population. Hence, the findings provide rationale and sequencing information for the implementation of BRCA1/2 variants tailored to the Chinese population into clinical risk assessment. Funding Statement: National Natural Science Foundation of China 81772802, Shanghai science and technology innovation action plan of China 17JC1404400 and 16DZ19102, Special Funds for Technological Innovation of Shanghai Jiao Tong University YG2016MS22, Chinese Academy of Science XDA12020223 (W.H.X), Natural Science Foundation of Zhejiang Province LZ16H160002 (C.Y.D), Zhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents (C.Y.D). Declaration of Interests: Authors declare no potential conflicts of interest. Ethics Approval Statement: The study was approved by the Ethics Committee of all the hospitals involved and was performed according to the Declaration of Helsinki Principles. Written consent to notify blood samples for future research was obtained for each patient under the Institutional Review Board (IRB)-approved protocol.

Tubular basement membrane immune complex deposition is associated with activity and progression of lupus nephritis: a large multicenter Chinese study.

Tubulointerstitial injury is found frequently in lupus nephritis. Immune complex deposits can occur in the tubular basement membranes (TBMs), although its significance in lupus nephritis patients remains unclear. This study assessed the clinical and prognostic features of lupus nephritis patients with TBM deposits in a large Chinese multicenter cohort. Complete data were collected from 195 patients with renal biopsy-proven lupus nephritis diagnosed in the Peking University First Hospital as the discovery cohort. A total of 102 lupus nephritis patients were enrolled from another four centers as the validation cohort. The status of TBM deposits was retrospectively assessed using electron microscopy, and the associations of the deposits with clinical data, pathological characteristics and renal outcomes were further analyzed. The percentage of positive TBM deposits was nearly 30% in the lupus nephritis patients. Using immuno-gold labeling, we found that 10/10 patients were positive for IgG, 7/10 were C3d positive, 6/10 were C1q positive, and 1/10 were C4d positive. Patients with TBM deposits presented with more active features, including a higher SLEDAI score (SLE Disease Activity Index) ( p < 0.001), higher serum creatinine level ( p = 0.001) and lower serum C3 level ( p < 0.001). These patients also presented with higher scores for most renal pathological indices, including the total activity indices score ( p < 0.001) and total chronicity indices score ( p = 0.001). TBM deposits affected renal outcomes in the univariate Cox hazards regression analysis (HR = 4.2, 95% CI = 1.3-14.3, p = 0.02). In conclusion, TBM deposits were common in lupus nephritis patients and correlated closely with the clinical disease activity and renal outcome.

Investigation of serotype distribution and resistance genes profile in group B Streptococcus isolated from pregnant women: a Chinese multicenter cohort study.

We surveyed the group B Streptococcus (GBS) strains isolated from four teaching hospitals during 1-year period to investigate the current serotypes and antimicrobial resistance status of these strains. A total of 231 non-duplicate colonizing GBS isolates were collected from pregnant women. Antimicrobial susceptibility of these isolates was tested by the disk diffusion method. Serotype was performed by a multiplex polymerase chain reaction (PCR) method. Analysis of the resistance mechanisms was performed by PCR amplification and DNA sequencing. Seven serotypes (Ia, Ib, II, III, V, VI, and VIII) were identified, and the prevalence ranged from 0.9 to 35.9%. All isolates were susceptible to the penicillin, ceftriaxone, and vancomycin. The resistance of all the isolates to erythromycin, clindamycin, and levofloxacin was 61.5, 51.9, and 35.5%, respectively. The erythromycin resistance was mainly associated with the genes ermB and ermB-mef(A/E) (69.8%). The most predominant phenotype was cMLSB (77.5%). Five gene panels, including gyrA, parC, parE, gyrA-parC, and gyrA-parC-parE, were detected. The most predominant genotype was gyrA-parC-parE triple mutation (69.5%). The S81L in gyrA gene, S79Y mutation in parC gene, and H225Y mutation in parE gene were discovered. The isolates with serotype III, V, and Ia were the most important clone concerning the prevalence and resistance.