Use of period analysis to provide a timely assessment of 5-year relative survival for pancreatic cancer patients from Taizhou, eastern China.

Assessing long-term tumor survival rates is crucial for evaluating the effectiveness of tumor treatment and burden. However, timely assessment of long-term survival in patients with pancreatic cancer is lagging in China. In this study, we applied period analysis to estimate the long-term survival of pancreatic cancer patients using data from four population-based cancer registries in Taizhou city, eastern China. A total of 1121 patients diagnosed with pancreatic cancer between 2004 and 2018 were included. We assessed the 5-year relative survival (RS) using period analysis and further stratified by sex, age at diagnosis, and region. The 5-year RS during 2014-2018 overall reached 18.9% (14.7% for men and 23.3% for women, respectively). A decrease of the 5-year RS from 30.3% to 11.2% was observed in four diagnostic age gradients (< 55, 55-64, 65-74, and > 74 years age groups). The 5-year RS was higher in urban (24.2%) than in rural (17.4%) areas. Moreover, the 5-year RS of pancreatic cancer patients showed an overall increasing trend for the three periods (2004-2008, 2009-2013, and 2014-2018). Our study, using period analysis for the first time in China, provides the latest estimates of the survival of patients with pancreatic cancer, which provides essential evidence for the prevention and intervention of pancreatic cancer. The results also indicate the importance of further applications of the period analysis for more up-to-date and accurate survival estimates.

Significance of Common Blood Test Indexes in the Diagnosis and Prognosis of Multiple Myeloma.

BACKGROUND: The goal of this study is to explore the clinical value of routine tests in multiple myeloma (MM). METHODS: A total of 179 MM patients, newly diagnosed in our hospital from January 2010 to December 2018 (case group), as well as 352 cases of healthy individuals (control group) were evaluated. Albumin (Alb), globulin (Glb), albumin/globulin (A/G), creatinine (Cr), calcium (Ca), hemoglobin (Hb), lactate dehydrogenase (LDH), platelet count (Plt), and platelet distribution width (PDW) were compared between the analyzed groups. Respective tests were screened by forward selection. Thereafter, screened out indicators were identified through logistic regression analysis. Risk prediction nomogram, area under curve (AUC), calibration, decision curve analysis (DCA), and clinical impact curve (CIC) were further performed. At the same time, routine test indicators of MM patients for stage and subtype diagnosis, were compared. A correlation analysis between these test indicators and respective disease stages was performed. High stage group and low stage groups were subsequently compared to define the predictive value of single and combined indicators of disease severity. RESULTS: Except for Ca, the difference between the case and control groups for all other blood indicators was statistically significant (p < 0.05). Moreover, the difference in positive rate(s) was statistically significant (p < 0.05). The receiver operating characteristic (ROC) curve of Alb, Hb, and PDW harbored robust discrimination (AUC = 0.960) and appropriate calibration. The DCA and CIC showed that the resulting nomogram had a superior net benefit in predicting MM. Among all indicators, only LDH was statistically reduced in MM patients at ISS stages I, II, and III (p < 0.05). Interestingly, the ISS stage of respective MM patients was positively correlated with Cr (τ = 0.392), while it was negatively correlated with Hb (τ = -0.364). Alb, Glo, A/G, and Hb were significantly distinct between heavy chain (IgG, IgA) and LC, while few significant differences were found between the ISS stages. Lastly, the AUC (0.828) for Cr was greater than that for all other single and combined indicators. CONCLUSIONS: The effective application of major indicators measured in routine blood tests can provide important clues for the diagnosis and prognosis of MM.

Effect of COVID-19 outbreak on the treatment time of patients with acute ST-segment elevation myocardial infarction.

OBJECTIVE: To explore the effect of COVID-19 outbreak on the treatment time of patients with ST-segment elevation myocardial infarction (STEMI) in Hangzhou, China. METHODS: We retrospectively reviewed the data of STEMI patients admitted to the Hangzhou Chest Pain Center (CPC) during a COVID-19 epidemic period in 2020 (24 cases) and the same period in 2019 (29 cases). General characteristics of the patients were recorded, analyzed, and compared. Moreover, we compared the groups for the time from symptom onset to the first medical contact (SO-to-FMC), time from first medical contact to balloon expansion (FMC-to-B), time from hospital door entry to first balloon expansion (D-to-B), and catheter room activation time. The groups were also compared for postoperative cardiac color Doppler ultrasonographic left ventricular ejection fraction (LVEF),the incidence of major adverse cardiovascular and cerebrovascular events (MACCE),Kaplan-Meier survival curves during the 28 days after the operation. RESULTS: The times of SO-to-FMC, D-to-B, and catheter room activation in the 2020 group were significantly longer than those in the 2019 group (P < 0.05). The cumulative mortality after the surgery in the 2020 group was significantly higher than the 2019 group (P < 0.05). CONCLUSION: The pre-hospital and in-hospital treatment times of STEMI patients during the COVID-19 epidemic were longer than those before the epidemic. Cumulative mortality was showed in Kaplan-Meier survival curves after the surgery in the 2020 group was significantly different higher than the 2019 group during the 28 days.The diagnosis and treatment process of STEMI patients during an epidemic should be optimized to improve their prognosis.

Assessment of long-term survival of cancer patients using cancer registry data from eastern China: Period analysis is superior to traditional methods.

We aimed to provide a systematical evaluation of the performance of period analysis compared to traditional cohort and complete methods, using cancer registry data from Taizhou, eastern China. Overall, 5-year relative survival (RS) estimate was calculated using cohort analysis, complete analysis and period analysis, respectively; further analyses were stratified by sex, region, age at diagnosis and cancer sites. Deviation value (DV), defined as the deviation between the estimated 5-year RS obtained from each method and the observed actual survival, was calculated to evaluate the accuracy of each method. Overall, 5-year RS derived by period analysis were much closer to the observed actual survival (51.4%), compared to those by complete and cohort methods, with the estimates of 48.7% (DV: -2.7%), 43.2% (DV: -8.2%) and 36.3% (DV: -15.1%), respectively. Further stratifications by sex, age at diagnosis, region and cancer sites also supported period analysis provided more precise estimates, compared to complete and cohort methods. We found, for first time systematically using cancer registry data from eastern China, period analysis provided more up-to-date precise estimates of long-term survival for overall and stratifications by sex, age at diagnosis, region and cancer sites, compared to traditional cohort and complete methods. Nevertheless, further investigations using large cancer registry data across China are warranted for the widespread use of period analysis in China.

Timely assessment of 5-year relative survival for patients with thyroid cancer from Taizhou, eastern China: a period analysis.

BACKGROUND: While timely assessment of long-term survival in thyroid cancer patients is critical for assessing early detection and screening programs for thyroid cancer, those data are sorely lacking in China. We aimed to timely and accurately assess the long-term survival of thyroid cancer patients in eastern China. METHODS: Patients diagnosed with thyroid cancer during 2004-2018 from four cancer registries in Taizhou, eastern China were included. The 5-year relative survival was estimated by period analysis and stratified by sex, age at diagnosis, and region. The 5-year RS of thyroid cancer patients during 2019-2023 was also predicted using the model-based period analysis. RESULTS: During 2014-2018, the overall 5-year relative survival of thyroid cancer patients was 87.7%, 91.2% for women and 79.4% for men. The 5-year RS decreased along with increasing age at diagnosis, decreasing from 94.9% for age <45 years to 81.3% for age >74 years, while 5-year RS was higher in urban areas than in rural areas (93.2% vs. 86.1%). The 5-year RS for thyroid cancer patients improved greatly between 2004-2008 to 2014-2018. The predicted overall 5-year RS could reach 91.4% over the upcoming 2019-2023 period. CONCLUSION: We provided, for the first time in China using period analysis, the most up-to-date 5-year RS for thyroid cancer patients from Taizhou, eastern China, which has important implications for timely evaluation on early detection and screening programs for patients with thyroid cancer in eastern China.

COVID-19 vaccinations for patients with epilepsy in Guizhou Province, China: A cross-sectional study.

Several COVID-19 vaccines have been approved for emergency use according to China's immunization programs. These vaccines has created hope for patients with epilepsy, because the vaccines can help to reduce their risk of becoming infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The aim of this study was to investigate the COVID-19 vaccine safety in patients with epilepsy. Here, we assessed the time of symptom control and the features of adverse events of seizure patients following their COVID-19 vaccinations. The results showed that adverse events of COVID-19 vaccinations for epilepsy patients included local pain at the injection site, dizziness and headache, epileptic attack, somnolence, limb weakness, limb pain, allergy, and fever. In addition, the average recovery time of the adverse events was approximately 42 h. More importantly, our study showed that it was relatively safe to vaccinate epilepsy patients who did not experience seizures for approximately 12 months prior to the immunization date.

Flow cytometry-based peripheral blood analysis as an easily friendly tool for prognostic monitoring of acute ischemic stroke: a multicenter study.

Background and objective: Acute ischemic stroke (AIS) is a leading cause of mortality, severe neurological and long-term disability world-wide. Blood-based indicators may provide valuable information on identified prognostic factors. However, currently, there is still a lack of peripheral blood indicators for the prognosis of AIS. We aimed to identify the most promising prognostic indicators and establish prognostic models for AIS. Methods: 484 subjects enrolled from four centers were analyzed immunophenotypic indicators of peripheral blood by flow cytometry. Least absolute shrinkage and selection operator (LASSO) regression was applied to minimize the potential collinearity and over-fitting of variables measured from the same subject and over-fitting of variables. Univariate and multivariable Cox survival analysis of differences between and within cohorts was performed by log-rank test. The areas under the receiving operating characteristic (ROC) curves were used to evaluate the selection accuracy of immunophenotypic indicators in identifying AIS subjects with survival risk. The prognostic model was constructed using a multivariate Cox model, consisting of 402 subjects as a training cohort and 82 subjects as a testing cohort. Results: In the prospective study, 7 immunophenotypic indicators of distinct significance were screened out of 72 peripheral blood immunophenotypic indicators by LASSO. In multivariate cox regression, CTL (%) [HR: 1.18, 95% CI: 1.03-1.33], monocytes/µl [HR: 1.13, 95% CI: 1.05-1.21], non-classical monocytes/µl [HR: 1.09, 95% CI: 1.02-1.16] and CD56high NK cells/µl [HR: 1.13, 95% CI: 1.05-1.21] were detected to decrease the survival probability of AIS, while Tregs/µl [HR:0.97, 95% CI: 0.95-0.99, p=0.004], BM/µl [HR:0.90, 95% CI: 0.85-0.95, p=0.023] and CD16+NK cells/µl [HR:0.93, 95% CI: 0.88-0.98, p=0.034] may have the protective effect. As for indicators' discriminative ability, the AUC for CD56highNK cells/µl attained the highest of 0.912. In stratification analysis, the survival probability for AIS subjects with a higher level of Tregs/µl, BM/µl, CD16+NK cells/µl, or lower levels of CD56highNK cells/µl, CTL (%), non-classical monocytes/µl, Monocytes/µl were more likely to survive after AIS. The multivariate Cox model showed an area under the curve (AUC) of 0.805, 0.781 and 0.819 and 0.961, 0.924 and 0.982 in the training and testing cohort, respectively. Conclusion: Our study identified 7 immunophenotypic indicators in peripheral blood may have great clinical significance in monitoring the prognosis of AIS and provide a convenient and valuable predictive model for AIS.

Association of LDL-C/HDL-C ratio with coronary heart disease: A meta-analysis.

BACKGROUND: Coronary heart disease (CHD) is a common heart disease and a leading cause of death in developed countries and some developing countries such as China. It is recognized as a multifactorial disease, with dyslipidemia being closely associated with the progression of coronary atherosclerosis. Numerous studies have confirmed the relationship between a single indicator of low-density lipoprotein cholesterol (LDL-C) or high-density lipoprotein cholesterol (HDL-C) and CHD. However, the association between LDL-C to HDL-C ratio (LHR) and CHD remains unclear. This study aimed to comprehensively explore the association between LHR and CHD. METHODS: This meta-analysis was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses. PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were comprehensively searched up to June 15, 2023, to find the studies that indicated the connection between LHR and CHD. A total of 12 published studies were selected. The random-effects model was used to pool the data and mean difference (MD), and the 95% confidence intervals (CI) were taken as the overall outcome. No language restrictions existed in the study selection. The Review Manager 5.4 and Stata 12 were used to analyze the data. RESULTS: Twelve high-quality clinical studies involving 5544 participants, including 3009 patients with CHD, were enrolled in the meta-analysis. The findings revealed that the LHR was higher by 0.65 in patients with CHD than in those without CHD (MD, 0.65; 95% CI, 0.50-0.80). CONCLUSION: The LHR was found to be positively correlated with CHD, suggesting that it may serve as a potential indicator of CHD.

Associations between metabolic dysfunction-associated fatty liver disease and atherosclerotic cardiovascular disease.

Non-alcoholic fatty liver disease (NAFLD) is closely related to metabolic syndrome and remains a major global health burden. The increased prevalence of obesity and type 2 diabetes mellitus (T2DM) worldwide has contributed to the rising incidence of NAFLD. It is widely believed that atherosclerotic cardiovascular disease (ASCVD) is associated with NAFLD. In the past decade, the clinical implications of NAFLD have gone beyond liver-related morbidity and mortality, with a majority of patient deaths attributed to malignancy, coronary heart disease (CHD), and other cardiovascular (CVD) complications. To better define fatty liver disease associated with metabolic disorders, experts proposed a new term in 2020 - metabolic dysfunction associated with fatty liver disease (MAFLD). Along with this new designation, updated diagnostic criteria were introduced, resulting in some differentiation between NAFLD and MAFLD patient populations, although there is overlap. The aim of this review is to explore the relationship between MAFLD and ASCVD based on the new definitions and diagnostic criteria, while briefly discussing potential mechanisms underlying cardiovascular disease in patients with MAFLD.

Curve fitting and jump detection on nonparametric regression with missing data.

In this paper, by virtual of the inverse probability weighted technique, we considered the jump-preserving estimation on the nonparametric regression models with missing data on response variable. First, we used local piecewise-linear expansion respectively with left and right kernel to approximate the unknown regression function. Second, we obtained the left- and right-limit estimation of regression function at each observed points and then determinated the final estimators by residual sums of squares. Third, we presented the convergence rate of estimators and the residual sums of squares. Finally, we illustrated the performance of our proposed method through some simulation studies and a conjunctivitis example from The Affiliated Hospital of Hangzhou Normal University.

Establishment of risk nomogram prediction model for venous catheter thrombosis.

BACKGROUND: Venous catheters are widely used in clinical practice, but a drawback of their usage is the increased risk of thrombosis. AIMS: The current study explored the risk factors affecting the formation of thrombosis following venous catheterization and establishes a risk nomogram prediction model for catheter-related thrombosis. METHODS: Univariate and multivariate logistic regression analyses were carried out to identify the independent factors involved in venous catheter thrombosis. These factors were included in the construction of a nomogram. Finally, the C-index and calibration curves were used to validate the nomogram. RESULT: A total of 146 cases were included in the sample, of which 36 were cases of thrombosis. The results of the univariate logistic regression analysis showed that the following were significant factors: age, Acute Physiology and Chronic Health Evaluation scoring system (APACHE II) score, white blood cell (WBC), hematocrit (HCT), international normalized ratio (INR), fibrinogen (FIB), and D-dimer. Multivariate logistic regression analysis was performed, which confirmed that the factors of age (AUC: 0.677, 95% CI: 0.564-0.790), APACHE II score (AUC: 0.746, 95% CI: 0.656-0.837), INR (AUC: 0.743, 95% CI: 0.636-0.849), and D-dimer (AUC: 0.826, 95% CI: 0.750-0.902) were independent variables. Next, a nomogram was constructed using these independent variables for predicting venous catheter thrombosis. Favorable results with C-indexes (0.816; 95% CI: 0.780-0.882) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram. CONCLUSION: The individualized nomogram demonstrated effective prognostic prediction for patients with venous thrombosis.

Exploring Associations Between Short-Term Air Pollution and Daily Outpatient Visits for Allergic Rhinitis.

Purpose: Many studies have reported that exposure to air pollution increases the likelihood of acquiring allergic rhinitis (AR). This study investigated associations between short-term air pollution exposure and AR outpatient visits. Patients and Methods: The Department of Otorhinolaryngology, Affiliated Hospital of Hangzhou Normal University provided AR outpatient data from January 1, 2019 to December 31, 2021. Daily air quality information for that period was gathered from the Hangzhou Air Quality Inspection Station. We used the Poisson's generalized additive model (GAM) to investigate relationships between daily outpatient AR visits and air pollution, and investigated lag-exposure relationships across days. Subgroup analyses were performed by age (adult (>18 years) and non-adult (<18 years)) and sex (male and female). Results: We recorded 20,653 instances of AR during the study period. Each 10 g/m3 increase in fine particulate matter (PM10 and PM2.5) and carbon monoxide (CO) concentrations was associated with significant increases in AR outpatient Visits. The relative risks (RR) were: 1.007 (95% confidence interval (CI): 1.001-1.013), 1.026 (95% CI: 1.008-1.413), and 1.019 (95% CI: 1.008-1.047). AR visits were more likely due to elevated PM2.5, PM10, and CO levels. Additionally, children were more affected than adults. Conclusion: To better understand the possible effects of air pollution on AR, short-term exposure to ambient air pollution (PM2.5, PM10, and CO) may be linked to increased daily outpatient AR visits.

Downregulating NHE-1 decreases the apoptosis of hippocampal cells in epileptic model rats based on the NHE-1/calpain1 pathway.

Seizure is associated with pathological changes of hippocampus, but the mechanism by which hippocampal neuronal apoptosis promotes epilepsy is unclear. Our previous study showed that the expression of NHE-1 was increased in epileptic model rats. Therefore, this study further explores the effect of NHE-1 on hippocampal cells apoptosis and seizure in lithium chloride-pilocarpine epileptic model rats. First, we established a lithium chloride-pilocarpine induced epileptic rat model and detected the expression of NHE-1, calpain1 and apoptosis in the hippocampus. Then, we further down-regulated NHE-1 to observe the expression of calpain1 and apoptosis in the hippocampus, as well as its effect on seizures in rats. We found that the expression of NHE-1 and calpain1 and apoptosis in the hippocampus was significant increased in the model group. After down-regulating NHE-1, the expression of calpain1 was decreased, and hippocampal cell apoptosis was alleviated. In addition, down-regulation of NHE-1 reduced the frequency and duration of seizures in epileptic rats. Therefore, hippocampal NHE-1 overexpression is closely related to the development of neuronal apoptosis in a rat model of epilepsy, and downregulating NHE-1 expression can reduce cell apoptosis. Moreover, the NHE-1/calpain1 signaling pathway may be an important mechanism leading to hippocampal cell apoptosis.

An update on the association between ambient short-term air pollution exposure and daily outpatient visits for conjunctivitis: a time-series study in Hangzhou, China.

Air pollution is a major public health problem that can lead to conjunctivitis. This study aimed to explore the associations between air pollutants and outpatient visits for conjunctivitis in Hangzhou, China. This study collected data on 50,772 patients with conjunctivitis and the concentrations of six air pollutants from February 1, 2014, to August 31, 2018. A time series analysis using a generalized additive model (GAM) was conducted. We found that the risk of conjunctivitis was related to the air pollutants PM2.5, PM10, SO2, NO2, and O3, which had concentration hysteresis effects. The risk of conjunctivitis increased by 1.009 (95% confidence interval (CI): 1.003, 1.014), 1.011 (95% CI: 1.008, 1.015), 1.238 (95% CI: 1.186, 1.292), 1.028 (95% CI: 1.019, 1.038), and 1.013 (95% CI: 1.008, 1.017) for every 10 µg/m3 increase in PM2.5, PM10, SO2, NO2, and O3 concentrations, respectively. The lag effects of SO2 and NO2 were stronger than those of particulate matter. Females exposed to PM10, PM2.5, SO2, and O3 had a higher risk of conjunctivitis than males, while males exposed to NO2 had a nearly identical risk of conjunctivitis as females. People aged 19-59 were more likely to suffer from conjunctivitis. The risk of conjunctivitis caused by PM10, SO2, and O3 was highest in the transitional season, while the risk caused by NO2 was highest in the winter season. In conclusion, females and middle-aged adults were at higher risk of conjunctivitis. People were more susceptible to conjunctivitis during the transitional season. These findings highlight the importance of atmospheric pollution governance and reference for public health measures.

Using period analysis to timely assess and predict 5-year relative survival for colorectal cancer patients in Taizhou, eastern China.

INTRODUCTION: While timely assessment of long-term survival for patients with colorectal cancer (CRC) is essential for evaluation on early detection and screening programs of colorectal cancer, those data are extremely scarce in China. We aimed to timely and accurately assess long-term survival for CRC patients in eastern China. METHODS: Patients diagnosed with CRC during 2004-2018 and followed up until December 31, 2018 from four cancer registries with high-quality data from Taizhou, eastern China were included. Period analysis was used to calculate 5-year relative survival (RS) for overall and the stratification by sex, age at diagnosis and region. The projected 5-year RS of CRC patients during 2019-2023 was also assessed using a model-based period analysis. RESULTS: Overall 5-year RS for patients with CRC during 2014-2018 reached 78.8%, being 74.9% for men and 86.1% for women. 5-year RS declined along with aging, decreasing from 84.1% for age < 45 years to 48.9% for age > 74 years, while 5-year RS for urban area was higher compared to rural area (83.9% vs. 75.8%). Projected overall 5-year RS of CRC patients could reach 85.9% during the upcoming period 2019-2023. CONCLUSIONS: We provided, for first time in China using period analysis, most up-to-date 5-year RS for patients with CRC from Taizhou, eastern China and also found 5-year RS for CRC patients have improved greatly during 2004-2018.

Use of Period Analysis to Timely Assess Five-Year Relative Survival for Patients with Ovarian Cancer from Taizhou, Eastern China.

OBJECTIVE: Ovarian cancer is a deadly gynecologic malignancy with a poor prognosis. It is essential to evaluate the early detection and screening programs of ovarian cancer via timely assessment of long-time survival, particularly in China where those data are incredibly limited. Here, we aimed to provide timely and accurately assessment of long-term survival estimate of ovarian cancer patients from eastern China. METHODS: Data of 770 ovarian cancer patients diagnosed between 2004-2018 were obtained from four cancer registries in Taizhou, eastern China, were included. We used period analysis to calculate five-year relative survival (RS) of aforementioned ovarian cancer patients for overall and the stratification by age at diagnosis and region. RESULTS: Our findings demonstrated that the overall five-year RS for ovarian cancer patients in Taizhou between 2014 and 2018 was 69.2%, while urban areas were higher compared to rural areas (77.6% vs. 64.9%). We also observed a significant age gradient with the five-year RS decreasing from 79.6% for age group < 55 years to 66.9% for age group > 74 years. Furthermore, we identified a clear upward trend of five-year RS over the study period, both overall and stratified by region and age at diagnosis. CONCLUSION: This is the first study in China using period analysis to provide the most up-to-date five-year RS for ovarian cancer patients from Taizhou, eastern China, which reaches 69.2% during 2014-2018. Our results provide valuable information for timely assessment of early detection and screening programs for ovarian cancer in eastern China.

Anxiety, depression, and stress prevalence among college students during the COVID-19 pandemic: A systematic review and meta-analysis.

Background: Since the end of 2019, the coronavirus disease (COVID-19) outbreak rapidly became a pandemic. The psychological state of people during the COVID-19 pandemic has gained interest. Our aim was to study the prevalence of anxiety, depression, and stress in college students during the COVID-19 pandemic. Methods: A systematic search of Medline, Embase, Web of Science, and the Cochrane Library was conducted up to September 20, 2020. Reviewers independently assessed full-text articles according to predefined criteria. Stata14/SE was used to calculate the prevalence and 95% confidence intervals (CIs) of anxiety, depression, and stress among college students from different countries. A random effects model was adopted. The Egger test was used to determine publication bias. Results: A total of 280 references were retrieved, and 28 papers met our inclusion criteria, for a total of 436,799 college students. Thirteen studies involved non-Chinese college students, and 15 studies involved Chinese college students. The prevalence of anxiety, depression, and stress was 29% (95% CI, 19-25%), 37% (95% CI, 32-42%), and 23% (95% CI, 8-39%), respectively. Conclusion: The COVID-19 pandemic has had a negative psychological effect on college students, and the prevalence of anxiety, depression, and stress among Chinese college students is lower than among non-Chinese college students.