Alterations in the gut microbiota and their metabolites in human intestinal epithelial cells of patients with colorectal cancer.

BACKGROUND: The gut microbiota has become one of the main risk factors for the formation and development of colorectal cancer (CRC). CRC intensification may be due to the microbial pathogens' colonization and their released metabolites. Here, we analyzed Bacteroidetes and Clostridia bacteria in CRC patients and studied bacterial metabolome in cancerous tissues compared to their adjacent normal tissues. METHODS AND RESULTS: The population of selected bacteria in biopsy specimens of 30 patients with CRC was studied by RT-qPCR. The mutagenicity and cytotoxicity effects of microbiota metabolites were evaluated by Ames test and MTT Assay, respectively. Moreover, gene expression in carcinogenic pathways was studied by RT-qPCR, and genes with different expressions in tumor and non-tumor tissues were diagnosed. Based on microbiota analysis, the relative abundance of Clostridia and C. difficile was significantly higher in CRC tissue, whereas C. perfringens showed higher relative abundance in normal tissue. AIMES test confirmed the proliferation and mutagenicity effects of the bacterial metabolites in CRC patients. Significant upregulation of C-Myc, GRB2, IL-8, EGFR, PI3K, and AKT and downregulation of ATM were observed in CRC samples compared to the control. CONCLUSIONS: The influence of bacterial metabolites on inflammation and altered expression of genes in the cell signaling pathways was observed. The findings confirm the role gut microbiota composition and bacterial metabolites as key players in CRC onset and development.

Association between opioid abuse and COVID-19 susceptibility: a propensity score matched study.

BACKGROUND: Opioid use disorder (OUD) has been associated with adverse health outcomes, and its potential impact on COVID-19 outcomes is of significant concern. This study aimed to assess the susceptibility and clinical outcomes of hospitalized COVID-19 patients with OUD using a propensity score-matched design. METHODS: A historical cohort study was conducted in Alborz province, Iran, during the early months of the COVID-19 pandemic. Patients aged 18 years and above with confirmed COVID-19 were included in the study. OUD was defined as a compulsive urge to use opioids or opioid-derivative drugs. Non-opioid abusers with COVID-19 were selected as the control group. Data on demographics, clinical characteristics, laboratory factors, comorbidities, and vital signs were collected. Propensity score matching (PSM) was used to balance the groups and assess the impact of OUD on ICU admission, mortality, the need for intubation, and the severity of pulmonary involvement on CT scans. RESULTS: A total of 442 patients were included in the study, with 351 discharged and 34 deceased. The PSM analysis showed that OUD was not significantly associated with ICU admission (OR: 1.87, 95% CI: 0.22-2.91, p = 0.631). However, opium users had an increased risk of mortality (OR: 2.38, 95% CI: 1.30-4.35, p = 0.005) and a higher likelihood of requiring intubation (OR: 3.57, 95% CI: 1.38-9.39, p = 0.009) compared to non-opioid abusers. The severity of pulmonary involvement on CT scans did not show a significant association with OUD. CONCLUSION: OUD among hospitalized COVID-19 patients was associated with an increased risk of mortality and the need for intubation. These findings highlight the importance of addressing OUD as a potential risk factor in the management and treatment of COVID-19 patients. Further research is warranted to explore the underlying mechanisms and develop appropriate interventions to mitigate the impact of OUD on COVID-19 outcomes.

Characterization of vaginal Lactobacillus species as a predictor of fertility among Iranian women with unexplained recurrent miscarriage and fertile women without miscarriage history using machine learning modeling.

BACKGROUND: Lactobacillus spp. are the predominant bacteria of the vaginal tract, the alteration of which has been previously linked to miscarriage. Here, we investigated differences between selected vaginal Lactobacillus species of women with a history of recurrent miscarriages and fertile women without a history of miscarriage in Iran. METHODS AND RESULTS: Vaginal swabs were taken from 29 fertile and 24 infertile women and quantitative real-time PCR (qPCR) assay was used to determine a selection of vaginal Lactobacillus species in both groups. The logistic regression (LR) model, Naive Bayes (NB) model, support vector machine model (SVM), and neural network model (NN) were developed to predict disease outcome by selected variables. LR analysis was used to construct a nomogram indicating predictions of the risk of miscarriage. The most abundant species among the patients were L. rhamnosus, L. ruminis, and L. acidophilus, while L. gasseri, L. vaginalis, L. fermentum, and L. iners were more abundant in healthy subjects. The distribution of L. ruminis, L. iners, and L. rhamnosus was higher in patients, while L. acidophilus, L. gasseri, and L. fermentum were highly distributed among healthy subjects. Higher AUC in predicting the disease outcome was observed for L. gasseri, L. rhamnosus, L. fermentum, and L. plantarum. CONCLUSION: Our findings provide experimental evidence of vaginal Lactobacillus imbalance in infertile women and a suitable predictor for miscarriage based on the AUC algorithms. Further studies with larger sample size and using high-throughput technologies are needed to boost our understanding of the role of lactobacilli in miscarriage.

Impact of Nutritional Profile on Gut Microbiota Diversity in Patients with Celiac Disease.

The pathogenesis of celiac disease (CD) is significantly influenced by gut microbiota. Daily nutritional profile influences the diversity of gut microbiota. This study was aimed to compare the abundance of gut microbiota in CD patients compared to normal control (NC), and to investigate the impact of nutritional factors on their fecal microbiota diversity. In this study, a selected panel of intestinal bacteria was assessed in 31 confirmed CD patients adhering to gluten-free diet (GFD) for more than 6 months and in 20 NC subjects. Stool samples were collected from each participant, DNA was extracted, and absolute quantitative real-time PCR (qPCR) was carried out. The gut microbiota including Bacteroidetes, Bifidobacterium, Clostridium, Staphylococcus, Enterobacteiaceae, Firmicutes, and Lactobacillus were assessed. The quantities of fruits, vegetables, meat, liquids, sugar and gluten-free candy/bread consumption were evaluated using a questionnaire. The proportion of Bifidobacterium, Firmicutes, and Lactobacillus in CD cases was significantly lower than NC (P < 0.005). Significant correlation coefficients between Bifidobacterium and Lactobacillus (P < 0.001), and also Firmicutes and Lactobacillus (P < 0.001) were recorded. Moreover, a significant association between medium amount of meat and bean consumptions and low abundance of Lactobacillus and Firmicutes (P = 0.024 and P = 0.027, respectively), and also high amount of bean consumptions and low abundance of Lactobacillus (P = 0.027) in CD were observed. The results showed that meat and bean consumptions could reduce the beneficial bacteria including Firmicutes and Lactobacillus in CD patients. Therefore, changes in the gut microbiota abundance may contribute to dietary changes and unimproved CD symptoms.

Trend analysis of disability adjusted life years due to cardiovascular diseases: results from the global burden of disease study 2019.

BACKGROUND: Cardiovascular diseases (CVDs) are the number one cause of global mortality representing about one third of all deaths across the world. The objective of the present study was to model the global trend in disability-adjusted life years (DALY) and its components due to CVD over the past three decades. We also aimed to evaluate the longitudinal relationship between CVD DALY and Human Development Index (HDI) in this period of time. METHODS: The age-standardized rates of years lost due to disability (YLD), years of life lost (YLL) and DALY were extracted for cardiovascular diseases from the Global Burden of Disease (GBD) Study 2019 in years 1990 to 2019. Additionally, the United Nations Development Programme (UNDP) database was used to retrieve HDI values for all world countries at the same period time. The trend analysis was performed using the joinpoint regression model. RESULTS: The obtained revealed a significant downward trend for DALY and its components with the average annual percent change of - 1.0, - 0.3 and - 1.1 per 100,000 population, respectively for DALY, YLD and YLL. We also found that countries with high/very high levels of HDI have remarkably experienced steeper declining slope of trend than those in lower levels of HDI over the study period. CONCLUSIONS: Although the observed decreasing trend of CVD burden is a hopeful message for all world countries, the considerable gap in slope of trend between richer and poorer parts of the world is a serious alarm for health policy makers. Regarding this, there is an urgent need to put more efforts on implementing preventive programs, improving the level of patients' care and providing efficient treatment, especially in regions with lower levels of HDI.

Survival of very preterm infants in the Islamic Republic of Iran: A population-based retrospective cohort study.

Background: Estimation of the survival of very preterm infants is necessary to make decisions and design interventions in order to improve their quality of care. This survey aimed to estimate the survival of very preterm infants born at 23 up to 33 weeks of gestational age (GA) in Iran. Methods: This population-based retrospective cohort study included 8536 infants born before 33 weeks of GA, from March 21st to December 22nd 2013 in Iran. The primary data were extracted from the Iranian national maternal and neonatal registration network (IMAN). All infants who have been discharged alive, followed up by telephone contact up to one year after birth. The Kaplan-Meier and Log-rank tests were performed to estimate survival and to compare survivals, respectively, using SPSS version 26 and R 3.5.2 softwares. Results: The overall survival was estimated at 56.70% (95% C.I: 55.60%-57.80%) at the end of the follow-up period. Total death rate was estimated at 43.30% and was significantly decreased with increasing birth weight (p<0.0001). Survival was increased significantly with increasing GA (p<0.0001), from 5.7% at 23 weeks to 79.6% at 32 weeks. The estimated cumulative proportion of death until the end of the neonatal period had a decreasing trend and then had a steady trend until the end of the follow-up period. The hazard ratio of quadruple or more birth and GA were 1.46 (p=0.021) and 0.83 (p<0.001), respectively. Conclusion: The overall estimated survival of very preterm infants was not high. Even with modern perinatal technology and care, early deaths of very preterm infants were still common.

The Effect of Guided Imagery and Progressive Muscle Relaxation on Sedation in Patients Undergoing Noninvasive Mechanical Ventilation.

Mental imagery and relaxation are noninvasive methods and can easily be used by the patient. Accordingly, this study aimed to detect the effect of guided mental imagery (GI) and progressive muscle relaxation (PMR) on sedation in patients undergoing noninvasive mechanical ventilation (NIV). This clinical trial study was carried out in the Shahid Modarres Hospital in 2022 and encompassed 80 patients with COVID-19 undergoing NIV, who were assigned to two intervention and control groups. The sedation survey scale was used to collect the required data. Before the intervention, the two groups completed the questionnaires, and then the relaxation program was presented during four sessions for the intervention group. This study included 80 patients with a mean age (± SD) of 59.59 ± 9.27 years. The Quade nonparametric ANCOVA revealed the significant impact of intervention on the post values of Total score (p-value < 0.001), Tolerance (p-value < 0.001), Calmness (p-value < 0.001), Ventilator synchrony (p-value < 0.001), face relaxation (p-value < 0.001), Consciousness (p-value = 0.009) and Awakeness (p-value = 0.020). The study findings demonstrated the effectiveness of relaxation program in promoting sedation in patients undergoing NIV. Accordingly, intensive care unit (ICU) nurses at our institution are encouraged to use PMR and GI to sedation of patients under NIV.

Potential efficacy of caffeine ingestion on balance and mobility in patients with multiple sclerosis: Preliminary evidence from a single-arm pilot clinical trial.

OBJECTIVES: Caffeine's potential benefits on multiple sclerosis (MS), as well as on the ambulatory performance of non-MS populations, prompted us to evaluate its potential effects on balance, mobility, and health-related quality of life (HR-QoL) of persons with MS (PwMS). METHODS: This single-arm pilot clinical trial consisted of a 2-week placebo run-in and a 12-week caffeine treatment (200 mg/day) stage. The changes in outcome measures during the study period (weeks 0, 2, 4, 8, and 12) were evaluated using the Generalized Estimation Equation (GEE). The outcome measures were the 12-item Multiple Sclerosis Walking Scale (MSWS-12) for self-reported ambulatory disability, Berg Balance Scale (BBS) for static and dynamic balance, Timed Up and Go (TUG) for dynamic balance and functional mobility, Multiple Sclerosis Impact Scale (MSIS-29) for patient's perspective on MS-related QoL (MS-QoL), and Patients' Global Impression of Change (PGIC) for subjective assessment of treatment efficacy. GEE was also used to evaluate age and sex effect on the outcome measures over time. (Iranian Registry of Clinical Trials, IRCT2017012332142N1). RESULTS: Thirty PwMS were included (age: 38.89 ± 9.85, female: 76.7%). Daily caffeine consumption significantly improved the objective measures of balance and functional mobility (BBS; P-value<0.001, and TUG; P-value = 0.002) at each study time point, and the subjective measure of MS-related QoL (MSIS-29; P-value = 0.005) two weeks after the intervention. Subjective measures of ambulatory disability (MSWS-12) and treatment efficacy (PGIC) did not significantly change. The effect of age and sex on the outcome measures were also assessed; significant sex-time interaction effects were found for MSWS-12 (P-value = 0.001) and PGIC (P-value<0.001). The impact of age on BBS scores increased as time progressed (P-value = 0.006). CONCLUSIONS: Caffeine may enhance balance, functional mobility, and QoL in PwMS. Being male was associated with a sharper increase in self-reported ambulatory disability over time. The effects of aging on balance get more pronounced over time. TRIAL REGISTRATION: This study was registered with the Iranian Registry of Clinical Trials (Registration number: IRCT2017012332142N1), a Primary Registry in the WHO Registry Network.

16S rRNA sequencing analysis of the oral and fecal microbiota in colorectal cancer positives versus colorectal cancer negatives in Iranian population.

BACKGROUND: Colorectal cancer (CRC) poses a significant healthcare challenge, accounting for nearly 6.1% of global cancer cases. Early detection, facilitated by population screening utilizing innovative biomarkers, is pivotal for mitigating CRC incidence. This study aims to scrutinize the fecal and salivary microbiomes of CRC-positive individuals (CPs) in comparison to CRC-negative counterparts (CNs) to enhance early CRC diagnosis through microbial biomarkers. MATERIAL AND METHODS: A total of 80 oral and stool samples were collected from Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran, encompassing both CPs and CNs undergoing screening. Microbial profiling was conducted using 16S rRNA sequencing assays, employing the Nextera XT Index Kit on an Illumina NovaSeq platform. RESULTS: Distinct microbial profiles were observed in saliva and stool samples of CPs, diverging significantly from those of CNs at various taxonomic levels, including phylum, family, and species. Saliva samples from CPs exhibited abundance of Calothrix parietina, Granulicatella adiacens, Rothia dentocariosa, and Rothia mucilaginosa, absent in CNs. Additionally, Lachnospiraceae and Prevotellaceae were markedly higher in CPs' feces, while the Fusobacteria phylum was significantly elevated in CPs' saliva. Conversely, the non-pathogenic bacterium Akkermansia muciniphila exhibited a significant decrease in CPs' fecal samples compared to CNs. CONCLUSION: Through meticulous selection of saliva and stool microbes based on Mean Decrease GINI values and employing logistic regression for saliva and support vector machine models for stool, we successfully developed a microbiota test with heightened sensitivity and specificity for early CRC detection.

Atorvastatin Effect on COVID-19 Outcomes: A Propensity Score Matched Study on Hospitalized Patients.

BACKGROUND: This study investigated the association of atorvastatin use on survival, need for intensive care unit (ICU) admission, and length of hospital stay (LOS) among COVID-19 inpatients. MATERIALS AND METHODS: A retrospective study was conducted between March 20th, 2020, and March 18th, 2021, on patients with confirmed COVID-19 admitted to three hospitals in Tehran, Iran. The unadjusted and adjusted effects of atorvastatin on COVID-19 prognosis were investigated. Propensity score matching (PSM) was used to achieve a 1:1 balanced dataset with a caliper distance less than 0.1 and the nearest neighbor method without replacement. RESULTS: Of 4322 COVID-19 patients, 2136 (49.42%) were treated with atorvastatin. After PSM, 1245 atorvastatin inpatients and 1245 controls were included with a median age of 62.0 (interquartile range [IQR]: 51.0, 76.0) and 63.0 (IQR: 51.0, 75.0) years, respectively. The standardized mean differences were less than 0.1 for all confounders, suggesting a good covariate balance. The use of atorvastatin was associated with decreased COVID-19 mortality (HR: 0.80; 95% CI: 0.68-0.95), whereas no relationship was found between atorvastatin and the need for ICU admission (HR: 1.21; 95% CI: 0.99-1.47). LOS was significantly higher in the atorvastatin cohort than controls (Atorvastatin vs. others: 7 [5, 11] vs. 6 [4, 10] days; p = 0.003). The survival rate was higher in combination therapy of atorvastatin plus enoxaparin than in those who received atorvastatin alone (p-value=0.001). CONCLUSION: Atorvastatin may reduce the risk of COVID-19 in-hospital mortality and could be a beneficial option for an add-on therapy. Randomized trials are warranted to confirm the results of the current observational studies.

Classification and Diagnostic Prediction of Colorectal Cancer Mortality Based on Machine Learning Algorithms: A Multicenter National Study.

INTRODUCTION: Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths. This study aimed to predict survival outcomes of CRC patients using machine learning (ML) methods. MATERIAL AND METHODS: A retrospective analysis included 1853 CRC patients admitted to three prominent tertiary hospitals in Iran from October 2006 to July 2019. Six ML methods, namely logistic regression (LR), Naïve Bayes (NB), Support Vector Machine (SVM), Neural Network (NN), Decision Tree (DT), and Light Gradient Boosting Machine (LGBM), were developed with 10-fold cross-validation. Feature selection employed the Random Forest method based on mean decrease GINI criteria. Model performance was assessed using Area Under the Curve (AUC). RESULTS: Time from diagnosis, age, tumor size, metastatic status, lymph node involvement, and treatment type emerged as crucial predictors of survival based on mean decrease GINI. The NB (AUC = 0.70, 95% Confidence Interval [CI] 0.65-0.75) and LGBM (AUC = 0.70, 95% CI 0.65-0.75) models achieved the highest predictive AUC values for CRC patient survival. CONCLUSIONS: This study highlights the significance of variables including time from diagnosis, age, tumor size, metastatic status, lymph node involvement, and treatment type in predicting CRC survival. The NB model exhibited optimal efficacy in mortality prediction, maintaining a balanced sensitivity and specificity. Policy recommendations encompass early diagnosis and treatment initiation for CRC patients, improved data collection through digital health records and standardized protocols, support for predictive analytics integration in clinical decisions, and the inclusion of identified prognostic variables in treatment guidelines to enhance patient outcomes.

Ovarian Cancer in Iran: National Based Study.

Background: Ovarian cancer (OC) is the 7th most common cancer, with 239,000 new cases per year. In Iran, it is the 8th most common cancer, with an ASIR of 3.9/100,000 women. The 5-year overall survival in Iran based on previous studies is about 61% which in comparison with eastern countries has better survival. Methods: The study included patients from the Iran National Cancer Registry from 2009-2014. Several steps were taken to control data quality. This study used a Kaplan-Meier survival curve to compare OC survival rates across geographical, pathological, and other variables. All analyses were done in R (4.02) and SPSS (26), with a 0.05 P-value considered statistically significant. Results: The study enrolled 7977 cases of OC. OC's ASIR was 4.10/100,000. In epithelial and non-specific OC, ASIR was >0.5. Five-year survival was 55% and 10-year survival was 45%. Conclusion: OC is the 8th most common cancer in Iran, with lower age-specific incidence and better overall survival than East Asia and North America. In Iran, as in Eastern Europe, OC incidence correlated with reduced total fertility rate and population aging. Five and 10-year overall survival rates were 55% and 44%, respectively, higher than the West. This may be because late stage OC patients are excluded from pathology and classified as "undiagnosed" in death certificates or hospitalization files.

Spatiotemporal variations in childhood lymphoma cancer incidence and its survival rate in Iran, 2005-2015: a cross-sectional study.

BACKGROUND: Childhood lymphoma is the second leading cause of cancer in children under 15 years of age in Iran. The aim of this study was to investigate the spatial and time variations in lymphoma incidence as well as the children's survival time in Iran. METHOD: This cross-sectional study was conducted using lymphoma cases (children under 14 years of age) from 2005 to 2015, and the data were obtained from the National Cancer Registry Center. The frequency, age-standardised incidence rate (ASIR), spatial clustering in national level and the survival rate (1 year and 5 years) using Kaplan-Meier method were evaluated. We used Spatial and Temporal Scan statistics software in order to detect statistically significant clusters in spatial analysis. RESULTS: A total number of 746 girls and 1610 boys were diagnosed with lymphoma during a 10-year period. ASIRs (per 100 000 people) for girls ranged from 0 in Ilam to 3.47 in Yasuj, and it ranged from 0.19 in Ilam to 5.91 in Yazd for boys from 2005 to 2015. Spatial analysis result showed a large statistically significant cluster (the most likely cluster) for both boys (relative risk (RR)=2.37) and girls (RR=2.49) located in the northwest of Iran. Fortunately, survival rate for both boys and girls was over 95.5%. CONCLUSION: Lymphoma incidence rates had heterogeneous geographical distribution, and some significant clusters were identified which strengthens the role of possible aetiological factors, and further studies are needed to clarify this ambiguity. Fortunately, the survival rate of this cancer in Iran was good and it was similar to the high-income countries.

Epidemiology of pediatric sarcoma in Iran.

BACKGROUND: Pediatric sarcomas are divided into two major groups of soft-tissue sarcomas (STSs) and malignant bone tumors (MBTs). AIMS: The aim of the present study was to determine the incidence and survival rate of STSs and MBTs in the Iranian population based on diagnosis date, gender, age, and histological types. METHODS AND RESULTS: Data was retrieved from Iran National Cancer Registry between 2008 and 2015. The dataset was classified according to the third edition of the International Classification of Childhood Cancer. The survival information was merely available for 291 (21% of total data), including 142 (49%) MBTs and 149 (51%) STSs. The age-standardized incidence rates (ASIRs) and five-year survival rates were calculated. CONCLUSION: The present study is the first comprehensive study of pediatric sarcomas in Iran, in which a lower incidence and survival rate of MBTs and STSs compared with high-income countries were found. However, the survival rates of these malignancies were higher in high-income countries compared to Iran. This study showed the need to improve the quantity and quality of the population-based registry in Iran for acquiring progress in the prevention and control of sarcomas.

Global long-term trends and spatial cluster analysis of pancreatic cancer incidence and mortality over a 30-year period using the global burden of disease study 2019 data.

INTRODUCTION: Pancreatic cancer (PC) is one of the most fatal malignancies, and its incidence and mortality rates are growing annually throughout the world. In this research, we aimed to investigate the time trends and identify the spatial clusters of incidence and mortality on a global scale over the last 30 years, using the Global Burden of Disease (GBD) study 2019 data. METHODS: Age-standardized incidence and mortality data due to PC were extracted from the GBD study, which was carried out from 1990 to 2019. A Joinpoint regression analysis was utilized to examine trends in the incidence and mortality of PC over the past three decades. As such, spatial analyses were undertaken to detect the spatial distribution and clustering of the metrics globally. RESULTS: It was observed that both the incidence and mortality rates were higher in males than in females worldwide. The global mortality and incidence rates significantly increased by 0.8% per year over the time of follow-up period (p<0.05). By spatial cluster analysis for mortality, European and North African countries, as well as Greenland were explored as hot spots; while South African and Southeast Asian countries were explored as cold spots. Regarding incidence, hot spots were found in European countries, Southern America, and Greenland; whilst cold spots were determined in Southern Africa and Madagascar. CONCLUSIONS: Collectively, the temporal trends disclosed a gradual rise in PC incidence and mortality rates over the period 1990-2019, reflecting the global health concern. We further found geographical variations in the patterns and identified high- and low-risk areas for incidence and mortality. These findings facilitate the design and implementation of more resource-efficient and geographically targeted treatments. Given the results of the current study, a practical approach to minimizing the future PC burden involves planned population-wide interventions, as well as primary prevention through healthier lifestyles.

Characteristics of headaches attributed to SARS-CoV-2 vaccination and factors associated with its frequency and prolongation: a cross-sectional cohort study.

Background: Headache is the most frequent neurological adverse event following SARS-CoV-2 vaccines. We investigated the frequency, characteristics, and factors associated with post-vaccination headaches, including their occurrence and prolongation (≥ 48 h). Methods: In this observational cross-sectional cohort study, retrospective data collected between April 2021-March 2022 were analyzed. Univariate and multivariate logistic regressions were used to evaluate the effect of clinicodemographic factors on the odds of post-vaccination headache occurrence and prolongation. Results: Of 2,500 people who were randomly sent the questionnaire, 1822 (mean age: 34.49 ± 11.09, female: 71.5%) were included. Headache prevalence following the first (V1), second (V2), and third (V3) dose was 36.5, 23.3, and 21.7%, respectively (p < 0.001). Post-vaccination headaches were mainly tension-type (46.5%), followed by migraine-like (36.1%). Headaches were mainly bilateral (69.7%), pressing (54.3%), moderate (51.0%), and analgesic-responsive (63.0%). They mainly initiated 10 h [4.0, 24.0] after vaccination and lasted 24 h [4.0, 48.0]. After adjusting for age and sex, primary headaches (V1: aOR: 1.32 [95%CI: 1.08, 1.62], V2: 1.64 [1.15, 2.35]), post-COVID-19 headaches (V2: 2.02 [1.26, 3.31], V3: 2.83 [1.17, 7.47]), headaches following the previous dose (V1 for V2: 30.52 [19.29, 50.15], V1 for V3: 3.78 [1.80, 7.96], V2 for V3: 12.41 [4.73, 35.88]), vector vaccines (V1: 3.88 [3.07, 4.92], V2: 2.44 [1.70, 3.52], V3: 4.34 [1.78, 12.29]), and post-vaccination fever (V1: 4.72 [3.79, 5.90], V2: 6.85 [4.68, 10.10], V3: 9.74 [4.56, 22.10]) increased the odds of post-vaccination headaches. Furthermore, while primary headaches (V1: 0.63 [0.44, 0.90]) and post-COVID-19 headaches (V1: 0.01 [0.00, 0.05]) reduced the odds of prolonged post-vaccination headaches, psychiatric disorders (V1: 2.58 [1.05, 6.45]), headaches lasting ≥48 h following the previous dose (V1 for V2: 3.10 [1.08, 10.31]), and migraine-like headaches at the same dose (V3: 5.39 [1.15, 32.47]) increased this odds. Conclusion: Patients with primary headaches, post-COVID-19 headaches, or headaches following the previous dose, as well as vector-vaccine receivers and those with post-vaccination fever, were at increased risk of post-SARS-CoV-2-vaccination headaches. Primary headaches and post-COVID-19 headaches reduced the odds of prolonged post-vaccination headaches. However, longer-lasting headaches following the previous dose, migraine-like headaches at the same dose, and psychiatric disorders increased this odd.

Epidemiology and Histopathology of Nasopharyngeal Neoplasms in Iran.

Introduction: This study aimed to study the trend, histologic pattern, geographical distribution, and characteristics of nasopharyngeal carcinoma (NPC) and nasopharyngeal neoplasms (NPN) from 2003 to 2017 in Iran. Materials and Methods: The Ministry of Health and Medical Education collected NPN cases from the corresponding university in each province and stored them in Iran National Cancer Registry (INCR) database. The Joinpoint program calculated the average annual percent change (AAPC) and its 95% confidence interval (CI). The jump model minimized the interfering effect of INCR transformation. Results: 3653 NPN cases were reported between 2003-2010 and 2014-2017, with a mean age of 49.04 ± 18.31 years and a male-to-female ratio of 2.15. The age-standardized incidence rate (ASIR) per 100,000 person-years was 0.30 for females and 0.68 for males in 2017. Although the ASIR/100,000 of NPN raised from 0.35 to 0.49 during 2003-2017, the trend was constant with an AAPC of -2% (95% CI: -4.8% to 0.9%). The age-specific incidence rate was highest in the older than 70 population (1.56/100,000). NPC formed 77.1% of NPNs and showed a constant pattern (AAPC CI: -5.7% to 0.2%), in contrast to the significant increase of non-keratinizing squamous cell carcinoma (AAPC CI: 2.3%to 24.5%). Conclusions: Nasopharynx cancer is rare in Iran, and NPC incidence remained constant from 2003 to 2017, unlike previously reported rising trend. However, non-keratinizing squamous cell carcinoma exhibited a significant increase, and future studies are needed to examine the role of the Epstein-Barr virus on this growth rate.

Descriptive Epidemiology and Survival Rate of Osteosarcoma: The First National Population-Based Study in the Middle East (2008-2014).

Objectives: The epidemiology of osteosarcoma (OS), the most common primary bone sarcoma, was not evaluated in the Middle East. Therefore, this study aimed to examine the incidence, demographic characteristics, epidemiology, and survival rate of patients with different subtypes of OS, based on data derived from the Iran National Cancer Registry (INCR) to evaluate the influence of ethnicity and race. Methods: All OS patients registered in the INCR between March 20, 2008, and March 20, 2014, were enrolled in this study, and information such as age, gender, cancer location, OS subtype, and survival time were evaluated statistically. Results: The Age-Standardized Incidence Rate (ASIR) for OS was 3.02 per million person-years, with a mean age of 25.6 years and a male-female ratio of 1.54:1. Not Otherwise Specified (NOS) OS, chondroblastic OS, and central OS had the highest frequencies among the subtypes of OS. The overall one-, three-, and five-year survival rates were 87%, 61%, and 49%, respectively, with a mean duration of 6.16 years. Conclusion: The ASIR of OS in our country was similar to that in the US and higher than that in China. The peak frequency was between 15-19 years old. The male-female ratio in our patients was higher than the OS gender ratio in most series. Although it was not statistically significant, older age at the time of diagnosis, axial location, and male gender were the poorest prognosis factors.

Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models.

Background: Breast cancer (BC) survival prediction can be a helpful tool for identifying important factors selecting the effective treatment reducing mortality rates. This study aims to predict the time-related survival probability of BC patients in different molecular subtypes over 30 years of follow-up. Materials and methods: This study retrospectively analyzed 3580 patients diagnosed with invasive breast cancer (BC) from 1991 to 2021 in the Cancer Research Center of Shahid Beheshti University of Medical Science. The dataset contained 18 predictor variables and two dependent variables, which referred to the survival status of patients and the time patients survived from diagnosis. Feature importance was performed using the random forest algorithm to identify significant prognostic factors. Time-to-event deep-learning-based models, including Nnet-survival, DeepHit, DeepSurve, NMLTR and Cox-time, were developed using a grid search approach with all variables initially and then with only the most important variables selected from feature importance. The performance metrics used to determine the best-performing model were C-index and IBS. Additionally, the dataset was clustered based on molecular receptor status (i.e., luminal A, luminal B, HER2-enriched, and triple-negative), and the best-performing prediction model was used to estimate survival probability for each molecular subtype. Results: The random forest method identified tumor state, age at diagnosis, and lymph node status as the best subset of variables for predicting breast cancer (BC) survival probabilities. All models yielded very close performance, with Nnet-survival (C-index=0.77, IBS=0.13) slightly higher using all 18 variables or the three most important variables. The results showed that the Luminal A had the highest predicted BC survival probabilities, while triple-negative and HER2-enriched had the lowest predicted survival probabilities over time. Additionally, the luminal B subtype followed a similar trend as luminal A for the first five years, after which the predicted survival probability decreased steadily in 10- and 15-year intervals. Conclusion: This study provides valuable insight into the survival probability of patients based on their molecular receptor status, particularly for HER2-positive patients. This information can be used by healthcare providers to make informed decisions regarding the appropriateness of medical interventions for high-risk patients. Future clinical trials should further explore the response of different molecular subtypes to treatment in order to optimize the efficacy of breast cancer treatments.

On-admission and dynamic trend of laboratory profiles as prognostic biomarkers in COVID-19 inpatients.

This large-scale study aimed to investigate the trend of laboratory tests of patients with COVID-19. Hospitalized confirmed and probable COVID-19 patients in three general hospitals were examined from March 20, 2020, to June 18, 2021. The confirmed and probable COVID-19 patients with known outcomes and valid laboratory results were included. The least absolute shrinkage and selection operator (LASSO) and Cox regression were used to select admittance prognostic features. Parallel Pairwise Comparison of mortality versus survival was used to examine the trend of markers. In the final cohort, 11,944 patients were enrolled, with an in-hospital mortality rate of 21.8%, mean age of 59.4 ± 18.0, and a male-to-female ratio of 1.3. Abnormal admittance level of white blood cells, neutrophils, lymphocytes, mean cellular volume, urea, creatinine, bilirubin, creatine kinase-myoglobin binding, lactate dehydrogenase (LDH), Troponin, c-reactive protein (CRP), potassium, and creatinine phosphokinase reduced the survival of COVID-19 inpatients. Moreover, the trend analysis showed lymphocytes, platelet, urea, CRP, alanine transaminase (ALT), and LDH have a dissimilar trend in non-survivors compared to survived patients. This study proposed a novel approach to find serial laboratory markers. Serial examination of platelet count, creatinine, CRP, LDH, and ALT can guide healthcare professionals in finding patients at risk of deterioration.