Long-term and short-term cardiovascular disease mortality among patients of 21 non-metastatic cancers.

INTRODUCTION: Previous studies on cardiovascular disease (CVD) death risk in cancer patients mostly focused on overall cancer, age subgroups and single cancers. OBJECTIVES: To assess the CVD death risk in non-metastatic cancer patients at 21 cancer sites. METHODS: A total of 1,672,561 non-metastatic cancer patients from Surveillance, Epidemiology, and End Results (SEER) datebase (1975-2018) were included in this population-based study, with a median follow-up of 12·7 years. The risk of CVD deaths was assessed using proportions, competing-risk regression, absolute excess risks (AERs), and standardized mortality ratios (SMRs). RESULTS: In patients with localized cancers, the proportion of CVD death and cumulative mortality from CVD in the high-competing risk group (14 of 21 unique cancers) surpassed that of primary neoplasm after cancer diagnosis. The SMRs and AERs of CVD were found higher in patients with non-metastatic cancer than the general US population (SMR 1·96 [95 %CI, 1·95-1·97]-19·85[95 %CI, 16·69-23·44]; AER 5·77-210·48), heart disease (SMR 1·94[95 %CI, 1·93-1·95]-19·25[95 %CI, 15·76-23·29]; AER 4·36-159·10) and cerebrovascular disease (SMR 2·05[95 %CI, 2·02-2·08]-24·71[95 %CI, 16·28-35·96]; AER 1·01-37·44) deaths. In the high-competing risk group, CVD-related SMR in patients with localized stage cancer increased with survival time but followed a reverse-dipper pattern in the low-competing risk group (7 of 21 cancers). The high-competing risk group had higher CVD-related death risks than the low-competing risk group. CONCLUSION: The CVD death risk in patients with non-metastatic cancer varied by cancer stage, site and survival time. The risk of CVD mortality is higher in 14 out of 21 localized cancers (high-competing cancers). Targeted strategies for CVD management in non-metastatic cancer patients are needed.

Evidence for a causal association between psoriasis and psychiatric disorders using a bidirectional Mendelian randomization analysis in up to 902,341 individuals.

BACKGROUND: The causal association between psoriasis and psychiatric disorders remains ambiguous. OBJECTIVES: This study aimed to investigate the causal relationship between psoriasis and common psychiatric disorders using bidirectional Mendelian randomization (MR) analysis. METHODS: Major depressive disorder (MDD) (N = 217,584), bipolar disorder (N = 51,710), schizophrenia (N = 77,096), and anxiety disorder (N = 218,792) were obtained as outcomes, and psoriasis (N = 337,159) were as exposure. Inverse variance weighting (IVW) was used as the main method, with other sensitivity methods as auxiliary methods. Sensitivity analysis and heterogeneity tests were performed to ensure the robustness of the results. We also performed a subgroup analysis of cases with psoriatic arthritis (PsA) (N = 213,879) by using the same testing methods. RESULTS: MR showed that the genetic risk of psoriasis was positively associated with bipolar disorder (odds ratio (OR) = 13.54, 95 % confidence interval (95%CI): 2.43-75.37, P = 0.002) and MDD (OR = 1.08, 95%CI: 1.01-1.15, P = 0.027), which indicated possible causal relationships between psoriasis and these two diseases. Schizophrenia (OR = 3.52, 95%CI: 0.22-55.71, P = 0.372) and anxiety disorders (OR = 0.65, 95%CI: 0.16-2.63, P = 0.546) indicated no significant causal association. No reverse causal effects of psychiatric disorders on psoriasis were found. Subgroup analysis also suggested causal association of PsA with the bipolar affective disorder (OR = 1.05, 95%CI: 1.01-1.08, P = 0.005). LIMITATIONS: Potential pleiotropic effects, restriction to European populations, and differences in diagnostic criteria. CONCLUSIONS: This study has supported the causal association of psoriasis with MDD and bipolar disorder, and the subtype PsA with bipolar disorder, which informed the intervention for mental illnesses in patients with psoriasis.

Two-year impact of COVID-19 pandemic on hospitalized patients with skin diseases in China.

To investigate the clinical characteristics of skin disorders among hospitalized patients before and during the coronavirus disease 2019 (COVID-19) pandemic, a retrospective study was conducted based on hospitalized patients with skin diseases from Xiangya Hospital of Central South University, the largest hospital in the south-central region of China, between January 1, 2018, and December 31, 2021. A total of 3039 hospitalized patients were enrolled in the study, including 1681 patients in the prepandemic group and 1358 patients in the pandemic group. The total number of hospitalized patients in the pandemic group decreased by 19.2%, with an increased proportion of patients over 60 years of age (39.8% vs. 35.8%). Moreover, compared with the prepandemic group, there were decreases in the occurrence of most skin diseases in the pandemic group, but the proportions of keratinolytic carcinoma (6.6% vs. 5.2%), dermatitis (24.0% vs. 18.9%), and psoriasis (18.0% vs. 14.8%) were higher in the pandemic group. In addition, longer hospital stays (ß = 0.07, SE = 0.02, P = 1.35 × 10-3 ) and higher hospital costs (ß = 0.06, SE = 0.03, p = 0.031) were found in the pandemic group through general linear models, even after the corresponding adjustment. In summary, the COVID-19 pandemic has had a lasting impact on patients with skin diseases, with fewer hospitalized patients, increased proportions of older patients, longer hospital stays, and increased hospital costs. These findings will facilitate better preparation for the most effective response to future pandemics.

Delay in Seeking Medical Attention and Diagnosis in Chinese Melanoma Patients: A Cross-Sectional Study.

Melanoma is a highly malignant skin tumor, and prolonged delay in seeking medical attention (DSMA) and delay in diagnosis (DD) may result in poor prognoses. Through a web-based questionnaire, we explored the related factors affecting the DSMA and DD of melanoma in a Chinese population. A total of 112 valid answer sheets were received. After obtaining the relevant information, we analyzed the factors associated with DSMA and DD. The median time of DSMA was 8.0 (quartiles: 1.0, 29.3) months, and the median of patients' DD was 1.0 (quartiles: 1.0, 8.3) month. The subsequent analysis showed that DSMA and DD were positively correlated to age and negatively correlated to education background and annual household income. Patients with a history of tumors or previous health-seeking behavior because of other skin lesions had significantly longer DSMA than those without. Patients who sought medical help at general tertiary hospitals for the first time had a significantly shorter DD than those who chose other hospitals. Our study found that DSMA and DD are associated with factors such as age, education, income, and patients' histories. Secondary prevention of Chinese melanoma should be strengthened to reduce DSMA and DD to improve patients' prognoses.

Risk of Cardiovascular Disease Death in Older Malignant Melanoma Patients: A Population-Based Study.

Noncancer deaths account for a large proportion of deaths in patients with malignant melanoma (MM), but the risk of cardiovascular disease (CVD) death in older MM patients remains unclear. This study aimed to estimate the risk of CVD death in older MM patients. Data on older MM patients were obtained in the Surveillance, Epidemiology, and End Results database. Risk of CVD death was calculated by standardized mortality rates (SMRs), cumulative mortality and proportion of different causes of death. MM patients had a higher risk of CVD death than general populations (SMR = 1.98; 95% CI 1.93−2.03, p < 0.001). CVD death was more common in MM patients who were diagnosed at age 85 or older, had a localized stage, were white, had surgical treatment, had a primary head/neck/upper limb site and had a low-grade and superficial spreading/lentigo malignant pathologic type. Cumulative CVD mortality was more common than primary cancer in all older age groups, male or female, and patients with localized-stage disease. Other than primary cancer, CVD was the main cause of death in older patients diagnosed with MM. Our findings highlight CVD death is an important competing event of deaths in older MM patients, and more attention should be paid to reducing CVD death to improve survival.

Bioinformatic profiling identifies the glutaminase to be a potential novel cuproptosis-related biomarker for glioma.

Glioma is the most common tumour of the central nervous system, with a poor prognosis and an increasing trend of incidence in recent years; it is also beginning to affect younger age groups more. Added to this, cuproptosis is a new form of cell death. Indeed, when a certain amount of copper accumulates in a cell, it affects specific mitochondrial metabolic enzymes in that cell and leads to cell death-a phenomenon known as cuproptosis. In this study, we applied bioinformatics analysis, and, according to the results of the study analysis and Gene Ontology (GO), as well as the Kyoto Encyclopedia of Genes and Genomes KyotoEncyclopediaofGenesandGenomes, the glutaminase (GLS) genes affect the prognosis and tumour mutation of glioma patients through cuproptosis. Interestingly, however, GLS is not involved in the immune escape of glioma. Glutaminase genes are a class of glucose metabolism-related genes that are involved in the tricarboxylic acid cycle of cells. At the same time, the expression of the glutaminase gene was positively correlated with the degree of immune cell infiltration and the expression of various immune cell markers, and thus affected the prognosis of glioma patients. Therefore, we believe that the cuproptosis-related glutaminase gene can be an important factor in determining the prognosis of glioma patients.

Spending and Hospital Stay for Melanoma in Hunan, China.

Objective: This study aimed to describe the economic burden of Chinese patients with melanoma in Hunan province of China, and to investigate the factors for hospitalization spending and length of stay (LOS) in patients undergoing melanoma surgery. Methods: Data was extracted from the Chinese National Health Statistics Network Reporting System database in Hunan province during 2017-2019. Population and individual statistics were presented, and nonparametric tests and quantile regression were used to analyze the factors for spending and LOS. Result: A total of 2,644 hospitalized patients with melanoma in Hunan were identified. During 2017-2019, the total hospitalization spending was $5,247,972, and out-of-pocket payment (OOP) was $1,817,869, accounting for 34.6% of the total expenditure. The median spending was $1,123 [interquartile range (IQR): $555-2,411] per capita, and the median LOS was 10 days (IQR: 5-18). A total of 1,104 patients who underwent surgery were further analyzed. The non-parametric tests and quantile regression showed that women were associated with less spending and LOS than men. In general, patients aged 46-65 and those with lesions on the limbs had higher hospitalization costs and LOS than other subgroups. Conclusion: Melanoma causes heavy economic burdens on patients in Hunan, such that the median spending is close to 60% of the averagely annual disposable income. Middle-aged men patients with melanoma on the limbs present the highest financial burden of melanoma.

Cardiovascular and Other Competing Causes of Death in Male Breast Cancer Patients: A Population-Based Epidemiologic Study.

PURPOSE: Male breast cancer (MBC) is a rare disease that tends to occur in elderly men. Little is known about the causes of death in MBC because of the small sample size of most studies. This study aimed to investigate the causes of death in MBC patients. PATIENTS AND METHODS: MBC patient data were obtained from the Surveillance, Epidemiology, and End Results database (1975-2016). Time trends of MBC mortality in the US population were analyzed using Joinpoint software. We calculated the proportion of each cause of death in the overall cohort and in different patient subgroups. Competing risk models were used to calculate cumulative mortality at different follow-up times. The risk of cardiovascular death (CVD) in MBC patients was compared to that of the age-matched general population by calculating standardized mortality ratio (SMR). RESULTS: In total, 6426 patients were included in the analysis. MBC mortality rate increased between 2004 and 2019 (annual percentage change=1.16, 95% confidence interval [CI]: 0.50, 1.80). There were 1757 patients (27.3%) who died of non-breast cancer causes. CVD was the leading cause of death in patients who were elderly or had localized disease. MBC patients had a 6.58-fold higher risk of CVD than the general population (SMR=6.58, 95% CI: 6.14, 7.05). CONCLUSION: Non-breast cancer death accounts for the majority of deaths in MBC patients who are elderly or have localized cancer. Compared to the general population, MBC patients have an increased risk of CVD. These results highlight the importance of monitoring cardiovascular comorbidities in MBC patients.

Prognostic Impacts of Tumour Size on Patients With Primary Cardiac Sarcoma.

BACKGROUND: Primary cardiac sarcoma (PCS) is a deadly disease. The impacts of tumour size on prognosis and surgical outcomes in PCS patients remains unclear. Here, we evaluate the impact of tumour size on overall survival (OS) and cancer-specific survival (CSS) of PCS patients to provide a reference for the surgical treatment. METHODS: A total of 261 PCS participants enrolled from 1983 to 2016 were identified from the Surveillance, Epidemiology, and End Results database. Using the X-tile program, we classified the tumour size into 2 subgroups: ≤ 4.0 cm and > 4.0 cm. The Kaplan-Meier method was used to determine OS and CSS. Univariate and multivariate Cox regression analyses were used to identify the independent prognostic impacts of tumour size and surgery in the 2 subgroups (≤ 4.0 cm vs > 4.0 cm). RESULTS: With the use of 4.0 cm as a cutoff value, tumour size seemed to be an independent prognostic factor for OS (P = 0.009) and CSS (P = 0.014) of PCS patients. Surgery improved the OS (P = 0.017) and CSS (P = 0.040) in PCS patients with tumour size > 4.0 cm but not in with tumour size ≤ 4.0 cm (both P > 0.05). CONCLUSIONS: Tumour size of > 4.0 cm is an independent predictor of poor prognosis and is associated with the surgical outcomes in PCS patients. Surgery significantly improves the prognosis in PCS patients with tumour size > 4.0 cm. Our findings have the potential to assist clinicians to better evaluate the prognosis of PCS patients and develop optimal therapeutic strategies.

Increased Risk of Cardiovascular Death in Breast Cancer Patients Without Chemotherapy or (and) Radiotherapy: A Large Population-Based Study.

BACKGROUND: Cardiovascular death (CVD) in breast cancer patients without chemotherapy (CT) or (and) radiotherapy (RT) has not been studied yet. This study evaluates the correlation between breast cancer and CVD risk independent of chemotherapy or (and) radiotherapy. METHODS: Data of female breast cancer patients without receiving CT or RT were retrieved from the Surveillance, Epidemiology, and End Result (SEER) database (2004-2015). Data were divided into two cohorts: tumor resection cohort and no resection cohort. The CVD risk in patients was expressed as standardized mortality ratios (SMRs). A 1:1 propensity score matching (PSM) was applied to balance inter-group bias, and competing risk regressions were utilized to evaluate the impact of tumor resection on CVD. RESULTS: The CVD risk was significantly higher (SMR = 2.196, 95% CI: 2.148-2.245, P<0.001) in breast cancer patients who did not receive CT or RT compared to the general population. Breast cancer patients without tumor resection showed higher CVD risk than patients who underwent tumour resection (tumor resection SMR = 2.031, 95% CI: 1.983-2.079, P<0.001; no resection SMR = 5.425, 95% CI: 5.087-5.781, P<0.001). After PSM, the CVD risk among patients without tumor resection indicated an increase of 1.165-fold compared to patients with tumor resection (HR=1.165, 95% CI: 1.039-1.306, P=0.009). CONCLUSIONS: Female breast cancer patients are at higher risk of CVD despite unexposure to cardio-toxic CT or RT. However, female breast cancer patients subjected to tumor resection have decreased CVD risk. These results indicated that monitoring female breast cancer patients not receiving RT or CT might serve as a preventative measure against CVD.

Nomograms and risk classification systems predicting overall and cancer-specific survival in primary malignant cardiac tumor.

BACKGROUND: Primary malignant cardiac tumors (PMCTs) are fatal, but up to now, there is still a lack of survival prediction model for prognosis evaluation. We developed nomograms to predict overall survival (OS) and cancer-specific survival (CSS) for PMCTs by the Surveillance, Epidemiology, and End Result (SEER) database. METHODS: A total of 506 PMCTs participants were identified in the SEER database from 1973 to 2014 and were randomly assigned into the training cohort (N = 354) and the validation cohort (N = 152). The prognostic factors for PMCTs were identified by Kaplan-Meier and multivariate Cox analysis and further incorporated to build OS and CSS nomograms. The nomograms were internally and externally validated via concordance indexes (C-index) and calibration curves. RESULTS: The independent prognostic factors for OS and CSS in PMCTs were associated with age at diagnosis, histopathology, tumor stage, cancer-directed surgery, and chemotherapy (all P < .05). In the internal validation, the C-index values were 0.71 (95% confidence interval [CI]: 0.68-0.75) for OS nomogram, and 0.70 (95% CI: 0.67-0.74) for CSS nomogram. In the external validation, the C-index values were 0.71 (95% CI: 0.66-0.77) for OS nomogram, and 0.71 (95% CI: 0.65-0.77) for CSS nomogram. The calibration curves of internal and external validation showed consistency between the nomograms and the actual observation. The risk stratification of PMCTs was significant distinction (P < .05). CONCLUSION: We developed and validated credible nomograms to predict OS and CSS in PMCTs. These nomograms can be offered to clinicians to more precisely estimate the survival and identify risk stratification of PMCTs.