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  1. Chase JG, Preiser JC, Dickson JL, Pironet A, Chiew YS, Pretty CG, et al.
    Biomed Eng Online, 2018 Feb 20;17(1):24.
    PMID: 29463246 DOI: 10.1186/s12938-018-0455-y
    Critical care, like many healthcare areas, is under a dual assault from significantly increasing demographic and economic pressures. Intensive care unit (ICU) patients are highly variable in response to treatment, and increasingly aging populations mean ICUs are under increasing demand and their cohorts are increasingly ill. Equally, patient expectations are growing, while the economic ability to deliver care to all is declining. Better, more productive care is thus the big challenge. One means to that end is personalised care designed to manage the significant inter- and intra-patient variability that makes the ICU patient difficult. Thus, moving from current "one size fits all" protocolised care to adaptive, model-based "one method fits all" personalised care could deliver the required step change in the quality, and simultaneously the productivity and cost, of care. Computer models of human physiology are a unique tool to personalise care, as they can couple clinical data with mathematical methods to create subject-specific models and virtual patients to design new, personalised and more optimal protocols, as well as to guide care in real-time. They rely on identifying time varying patient-specific parameters in the model that capture inter- and intra-patient variability, the difference between patients and the evolution of patient condition. Properly validated, virtual patients represent the real patients, and can be used in silico to test different protocols or interventions, or in real-time to guide care. Hence, the underlying models and methods create the foundation for next generation care, as well as a tool for safely and rapidly developing personalised treatment protocols over large virtual cohorts using virtual trials. This review examines the models and methods used to create virtual patients. Specifically, it presents the models types and structures used and the data required. It then covers how to validate the resulting virtual patients and trials, and how these virtual trials can help design and optimise clinical trial. Links between these models and higher order, more complex physiome models are also discussed. In each section, it explores the progress reported up to date, especially on core ICU therapies in glycemic, circulatory and mechanical ventilation management, where high cost and frequency of occurrence provide a significant opportunity for model-based methods to have measurable clinical and economic impact. The outcomes are readily generalised to other areas of medical care.
    Matched MeSH terms: Cohort Studies
  2. Kumar N, Sheikh Ghadzi SM, Rajpoot PL, Thanganadar H, Hashmi FK, Noor A, et al.
    J Infect Dev Ctries, 2024 Feb 29;18(2):177-187.
    PMID: 38484345 DOI: 10.3855/jidc.18313
    INTRODUCTION: Hypertension significantly contributes to the severity and mortality of COVID-19 patients. It has also been a risk factor for prolonged hospitalization and the need for intensive care. However, the data is still evolving. Therefore, this study investigated the predictors of mortality among hypertensive COVID-19 patients.

    METHODOLOGY: A single-center cohort study was performed at Indus Hospital and Health Network, Karachi, Pakistan, between April 1, 2021, and October 31, 2021. This study included 333 hospitalized hypertensive COVID-19 patients and evaluated their clinical characteristics and survival outcomes. A multivariate logistic regression model was applied in IBM SPSS 27.0 to determine the predictors of mortality.

    RESULTS: The majority of patients were females (54.7%), the median age was 62 [55-70] years, with co-existing diabetes (56.5%) and severely ill (52.6%). The independent predictors of mortality identified were age ≥ 65 years (aOR 20.89, 95% CI, 5.81-75.15; p < 0.001), pulse rate (aOR 1.03, 95% CI 1.01-1.63; p = 0.006), serum creatinine (aOR 1.34, 95% CI 1.11-1.63; p = 0.002), use of antibiotics (aOR 3.40, 95% CI 1.29-8.98; p = 0.014)), corticosteroid (aOR 49.68, 95% CI 1.83-1350.31; p = 0.020), and who needed high flow oxygen supply (aOR 13.08, 95% CI 1.70-100.54; p < 0.001), non-invasive mechanical ventilation (aOR 229.01, 95% CI 29.30-1789.71; p < 0.001) and invasive mechanical ventilation (aOR 379.54, 95% CI 36.60-3935.87; p < 0.001).

    CONCLUSIONS: Our study suggests that older age, elevated pulse rate, serum creatinine, use of antibiotics and corticosteroids, and the need for mechanical ventilation predict mortality among hypertensive COVID-19.

    Matched MeSH terms: Cohort Studies
  3. Fortner RT, Sarink D, Schock H, Johnson T, Tjønneland A, Olsen A, et al.
    BMC Med, 2017 02 08;15(1):26.
    PMID: 28173834 DOI: 10.1186/s12916-017-0786-8
    BACKGROUND: Circulating osteoprotegerin (OPG), a member of the receptor activator of nuclear factor kappa-B (RANK) axis, may influence breast cancer risk via its role as the decoy receptor for both the RANK ligand (RANKL) and tumor necrosis factor-related apoptosis-inducing ligand (TRAIL). Circulating OPG and breast cancer risk has been examined in only one prior study.

    METHODS: A case-control study was nested in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. A total of 2008 incident invasive breast cancer cases (estrogen receptor (ER)+, n = 1622; ER-, n = 386), matched 1:1 to controls, were included in the analysis. Women were predominantly postmenopausal at blood collection (77%); postmenopausal women included users and non-users of postmenopausal hormone therapy (HT). Serum OPG was quantified with an electrochemiluminescence assay. Relative risks (RRs) and 95% confidence intervals (CIs) were calculated using conditional logistic regression.

    RESULTS: The associations between OPG and ER+ and ER- breast cancer differed significantly. Higher concentrations of OPG were associated with increased risk of ER- breast cancer (top vs. bottom tertile RR = 1.93 [95% CI 1.24-3.02]; p trend = 0.03). We observed a suggestive inverse association for ER+ disease overall and among women premenopausal at blood collection. Results for ER- disease did not differ by menopausal status at blood collection (p het = 0.97), and we observed no heterogeneity by HT use at blood collection (p het ≥ 0.43) or age at breast cancer diagnosis (p het ≥ 0.30).

    CONCLUSIONS: This study provides the first prospective data on OPG and breast cancer risk by hormone receptor subtype. High circulating OPG may represent a novel risk factor for ER- breast cancer.

    Matched MeSH terms: Cohort Studies
  4. Papadimitriou N, Muller D, van den Brandt PA, Geybels M, Patel CJ, Gunter MJ, et al.
    Eur J Nutr, 2020 Oct;59(7):2929-2937.
    PMID: 31705265 DOI: 10.1007/s00394-019-02132-z
    PURPOSE: The evidence from the literature regarding the association of dietary factors and risk of prostate cancer is inconclusive.

    METHODS: A nutrient-wide association study was conducted to systematically and comprehensively evaluate the associations between 92 foods or nutrients and risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cox proportional hazard regression models adjusted for total energy intake, smoking status, body mass index, physical activity, diabetes and education were used to estimate hazard ratios and 95% confidence intervals for standardized dietary intakes. As in genome-wide association studies, correction for multiple comparisons was applied using the false discovery rate (FDR cohort, the Netherlands Cohort Study (NLCS).

    RESULTS: A total of 5916 and 3842 incident cases of prostate cancer were diagnosed during a mean follow-up of 14 and 20 years in EPIC and NLCS, respectively. None of the dietary factors was associated with the risk of total prostate cancer in EPIC (minimum FDR-corrected P, 0.37). Null associations were also observed by disease stage, grade and fatality, except for positive associations observed for intake of dry cakes/biscuits with low-grade and butter with aggressive prostate cancer, respectively, out of which the intake of dry cakes/biscuits was replicated in the NLCS.

    CONCLUSIONS: Our findings provide little support for an association for the majority of the 92 examined dietary factors and risk of prostate cancer. The association of dry cakes/biscuits with low-grade prostate cancer warrants further replication given the scarcity in the literature.

    Matched MeSH terms: Cohort Studies
  5. Lin H, Lee HW, Yip TC, Tsochatzis E, Petta S, Bugianesi E, et al.
    JAMA, 2024 Apr 16;331(15):1287-1297.
    PMID: 38512249 DOI: 10.1001/jama.2024.1447
    IMPORTANCE: Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently the most common chronic liver disease worldwide. It is important to develop noninvasive tests to assess the disease severity and prognosis.

    OBJECTIVE: To study the prognostic implications of baseline levels and dynamic changes of the vibration-controlled transient elastography (VCTE)-based scores developed for the diagnosis of advanced fibrosis (Agile 3+) and cirrhosis (Agile 4) in patients with MASLD.

    DESIGN, SETTING, AND PARTICIPANTS: This cohort study included data from a natural history cohort of patients with MASLD who underwent VCTE examination at 16 tertiary referral centers in the US, Europe, and Asia from February 2004 to January 2023, of which the data were collected prospectively at 14 centers. Eligible patients were adults aged at least 18 years with hepatic steatosis diagnosed by histologic methods (steatosis in ≥5% of hepatocytes) or imaging studies (ultrasonography, computed tomography or magnetic resonance imaging, or controlled attenuation parameter ≥248 dB/m by VCTE).

    MAIN OUTCOMES AND MEASURES: The primary outcome was liver-related events (LREs), defined as hepatocellular carcinoma or hepatic decompensation (ascites, variceal hemorrhage, hepatic encephalopathy, or hepatorenal syndrome), liver transplant, and liver-related deaths. The Agile scores were compared with histologic and 8 other noninvasive tests.

    RESULTS: A total of 16 603 patients underwent VCTE examination at baseline (mean [SD] age, 52.5 [13.7] years; 9600 [57.8%] were male). At a median follow-up of 51.7 (IQR, 25.2-85.2) months, 316 patients (1.9%) developed LREs. Both Agile 3+ and Agile 4 scores classified fewer patients between the low and high cutoffs than most fibrosis scores and achieved the highest discriminatory power in predicting LREs (integrated area under the time-dependent receiver-operating characteristic curve, 0.89). A total of 10 920 patients (65.8%) had repeated VCTE examination at a median interval of 15 (IQR, 11.3-27.7) months and were included in the serial analysis. A total of 81.9% of patients (7208 of 8810) had stable Agile 3+ scores and 92.6% of patients (8163 of 8810) had stable Agile 4 scores (same risk categories at both assessments). The incidence of LREs was 0.6 per 1000 person-years in patients with persistently low Agile 3+ scores and 30.1 per 1000 person-years in patients with persistently high Agile 3+ scores. In patients with high Agile 3+ score at baseline, a decrease in the score by more than 20% was associated with substantial reduction in the risk of LREs. A similar trend was observed for the Agile 4 score, although it missed more LREs in the low-risk group.

    CONCLUSIONS AND RELEVANCE: Findings of this study suggest that single or serial Agile scores are highly accurate in predicting LREs in patients with MASLD, making them suitable alternatives to liver biopsy in routine clinical practice and in phase 2b and 3 clinical trials for steatohepatitis.

    Matched MeSH terms: Cohort Studies
  6. Li ZB, Lv JJ, Lu W, Yin MY, Li XY, Yang CH
    Psychiatry Res, 2024 Jun;336:115889.
    PMID: 38621309 DOI: 10.1016/j.psychres.2024.115889
    BACKGROUND: Depression is a highly prevalent and disabling mental health condition among adolescents. The epidemiology of depression in adolescents has been changing over time, reflecting changes in risk factors as well as disease concepts and diagnosis. However, few studies have characterized the longitudinal epidemiology of depression in adolescents. Understanding trends of disease burden provides key insights to improve resource allocation and design targeted interventions for this vulnerable population. The Western Pacific Region (WPR) is home to over 1.3 billion people with tremendous diversity in culture and socioeconomic development. The epidemiology of adolescent depression in WPR remains largely unknown. In this study, we aimed to estimate trends of disease burden attributable to depressive disorders among adolescents aged 10-24 years in WPR countries between 1990 and 2019, and to investigate period and cohort effects using the Global Burden of Disease (GBD) study database.

    METHODS: The study utilized data from the Global Burden of Disease, Injuries, and Risk Factors Study 2019, concentrating on adolescents aged 10 to 24 years with depression. We conducted an in-depth analysis of depression, including its age-standardized prevalence, incidence, and Disability-Adjusted Life Years (DALYs), across diverse demographics such as regions, ages, genders, and socio-demographic indexes, spanning from 1990 to 2019.

    RESULTS: The analysis found decreasing trends in the prevalence, incidence, and DALYs of adolescent depression in the WPR between 1990-2019, although some countries like Australia and Malaysia showed increases. Specifically, the prevalence of adolescent depression in the region decreased from 9,347,861.6 cases in 1990 to 5,551,341.1 cases in 2019. The incidence rate declined from 2,508.6 per 100,000 adolescents in 1990 to 1,947.9 per 100,000 in 2019. DALYs decreased from 371.9 per 100,000 in 1990 to ASR 299.7 per 100,000 in 2019.

    CONCLUSION: This study found an overall decreasing trend in adolescent depression burden in the Western Pacific Region between 1990 and 2019, with heterogeneity across countries. For 30 years, the 20-24 age group accounted for the majority of depression among adolescents Widening inequality in depression burden requires policy attention. Further analysis of risk factors contributing to epidemiological trends is warranted to inform prevention strategies targeting adolescent mental health in the region.

    Matched MeSH terms: Cohort Studies
  7. Rohana J, Boo NY, Chandran V, Sarvananthan R
    Malays J Med Sci, 2011 Oct;18(4):58-62.
    PMID: 22589673 MyJurnal
    Developmental disabilities have been reported in infants with persistent pulmonary hypertension of the newborn (PPHN) treated with inhaled nitric oxide (INO) or intravenous magnesium sulphate (MgSO(4)) and/or extracorporeal membrane oxygenation. This paper reports the rate of developmental disabilities at 2 years of age in a cohort of survivors of PPHN treated with INO, MgSO(4), or both during the neonatal period.
    Matched MeSH terms: Cohort Studies
  8. Shekh Ibrahim SA, Hamzah N, Abdul Wahab AR, Abdullah JM, Nurul Hashimah Ahamed Hassain Malim, Sumari P, et al.
    Malays J Med Sci, 2020 Jul;27(4):1-8.
    PMID: 32863741 DOI: 10.21315/mjms2020.27.4.1
    Universiti Sains Malaysia has started the Big Brain Data Initiative project since the last two years as brain mapping techniques have proven to be important in understanding the molecular, cellular and functional mechanisms of the brain. This Big Brain Data Initiative can be a platform for neurophysicians and neurosurgeons, psychiatrists, psychologists, cognitive neuroscientists, neurotechnologists and other researchers to improve brain mapping techniques. Data collection from a cohort of multiracial population in Malaysia is important for present and future research and finding cure for neurological and mental illness. Malaysia is one of the participant of the Global Brain Consortium (GBC) supported by the World Health Organization. This project is a part of its contribution via the third GBC goal which is influencing the policy process within and between high-income countries and low- and middle-income countries, such as pathways for fair data-sharing of multi-modal imaging data, starting with electroencephalographic data.
    Matched MeSH terms: Cohort Studies
  9. Nafeeza MI, Isa MR, Kudva MV, Ishak MS, Mazlam MZ, Haron A, et al.
    Malays J Med Sci, 2000 Jan;7(1):22-6.
    PMID: 22844211 MyJurnal
    The objective of the study was to determine the prevalence of H. pylori in functional dyspepsia among the three main races in Malaysia. Gastric antral biopsies from 233 (98 males, 135 females; age range: 17-75 years, mean age 39.5 years) patients attending the Universiti Kebangsaan Malaysia (UKM) gastroenterology clinic were assessed for the presence of H. pylori by culture and histology. About a third of the cases (79 of 233 (34%); 34 males, 45 females; mean age 42.6 yrs) were positive for H. pylori. The presence of H. pylori was always associated with antral gastritis. Malay patients were least likely to be positive for H. pylori (10 of 88 (11.4%); 5 males, 5 females; mean age 35.7 yrs) compared to the Chinese (43 of 95 (45%); 19 males; 24 females; mean age 40.2 yrs) and Indian patients (23 of 41 (56%); 10 males, 13 females; mean age 48.1 yrs). We found that H. pylori were most common among Chinese followed by Indians. However, the relative risk for the Indians was 8.58 and 6.29 for the Chinese compared to Malays. We conclude that the prevalence of H. pylori in patients with functional dyspepsia differs considerably with respect to ethnic groups.
    Matched MeSH terms: Cohort Studies
  10. Alwi ZB
    Malays J Med Sci, 2005 Jul;12(2):4-12.
    PMID: 22605952
    Pharmacogenomics is the study of how genetic makeup determines the response to a therapeutic intervention. It has the potential to revolutionize the practice of medicine by individualisation of treatment through the use of novel diagnostic tools. This new science should reduce the trial-and-error approach to the choice of treatment and thereby limit the exposure of patients to drugs that are not effective or are toxic for them. Single Nucleotide Polymorphisms (SNPs) holds the key in defining the risk of an individual's susceptibility to various illnesses and response to drugs. There is an ongoing process of identifying the common, biologically relevant SNPs, in particular those that are associated with the risk of disease. The identification and characterization of large numbers of these SNPs are necessary before we can begin to use them extensively as genetic tools. As SNP allele frequencies vary considerably across human ethnic groups and populations, the SNP consortium has opted to use an ethnically diverse panel to maximize the chances of SNP discovery. Currently most studies are biased deliberately towards coding regions and the data generated from them therefore are unlikely to reflect the overall distribution of SNPs throughout the genome. The SNP consortium protocol was designed to identify SNPs without any bias towards these coding regions. Most pharmacogenomic studies were carried out in heterogeneous clinical trial populations, using case-control or cohort association study designs employing either candidate gene or Linkage disequilibrium (LD) mapping approaches. Concerns about the required patient sample sizes, the extent of LD, the number of SNPs needed in a map, the cost of genotyping SNPs, and the interpretation of results are some of the challenges that surround this field. While LD mapping is appealing in that it is an unbiased approach and allows a comprehensive genome-wide survey, the challenges and limitations are significant. An alternative such as the candidate gene approach does offer several advantages over LD mapping. Ultimately, as all human genes are discovered, the need for random SNP markers diminishes and gene-based SNP approaches will predominate. The challenges will then be to demonstrate convincing links between genetic variation and drug responses and to translate that information into useful pharmacogenomic tests.
    Matched MeSH terms: Cohort Studies
  11. Hou WH, Moo CC, Kuo TL, Kuo CL, Chu SY, Wu KF, et al.
    J Psychosom Res, 2022 Nov;162:111033.
    PMID: 36115193 DOI: 10.1016/j.jpsychores.2022.111033
    OBJECTIVE: Few studies have assessed the sex-specific and age-specific risk of aspiration pneumonia (AP) in patients with stroke and evaluated whether mental disorders may increase this risk. In this population-based cohort study, we investigated the sex-specific and age-specific risk of AP in association with stroke and the joint effects of stroke and mental disorders on the risk of AP.

    METHODS: We included 23,288 patients with incident stroke admitted between 2005 and 2017 and 68,675 matched nonstroke controls. Information on mental disorders was obtained from medical claims data within the 3 years before the stroke incidence. Cox proportional hazards models considering death as a competing risk event were constructed to estimate the hazard ratio of AP incidence by the end of 2018 associated with stroke and selected mental disorders.

    RESULTS: After ≤14 years of follow-up, AP incidence was higher in the patients with stroke than in the controls (11.30/1000 vs. 1.51/1000 person-years), representing a covariate-adjusted subdistribution hazard ratio (sHR) of 3.64, with no significant sex difference. The sHR significantly decreased with increasing age in both sexes. Stratified analyses indicated schizophrenia but not depression or bipolar affective disorder increased the risk of AP in the patients with stroke.

    CONCLUSION: Compared with their corresponding counterparts, the patients with schizophrenia only, stroke only, and both stroke and schizophrenia had a significantly higher sHR of 4.01, 5.16, and 8.01, respectively. The risk of AP was higher in younger stroke patients than those older than 60 years. Moreover, schizophrenia was found to increase the risk of AP in patients with stroke.

    Matched MeSH terms: Cohort Studies
  12. Miller V, Jenkins DA, Dehghan M, Srichaikul K, Rangarajan S, Mente A, et al.
    Lancet Diabetes Endocrinol, 2024 May;12(5):330-338.
    PMID: 38588684 DOI: 10.1016/S2213-8587(24)00069-X
    BACKGROUND: The association between the glycaemic index and the glycaemic load with type 2 diabetes incidence is controversial. We aimed to evaluate this association in an international cohort with diverse glycaemic index and glycaemic load diets.

    METHODS: The PURE study is a prospective cohort study of 127 594 adults aged 35-70 years from 20 high-income, middle-income, and low-income countries. Diet was assessed at baseline using country-specific validated food frequency questionnaires. The glycaemic index and the glycaemic load were estimated on the basis of the intake of seven categories of carbohydrate-containing foods. Participants were categorised into quintiles of glycaemic index and glycaemic load. The primary outcome was incident type 2 diabetes. Multivariable Cox Frailty models with random intercepts for study centre were used to calculate hazard ratios (HRs).

    FINDINGS: During a median follow-up of 11·8 years (IQR 9·0-13·0), 7326 (5·7%) incident cases of type 2 diabetes occurred. In multivariable adjusted analyses, a diet with a higher glycaemic index was significantly associated with a higher risk of diabetes (quintile 5 vs quintile 1; HR 1·15 [95% CI 1·03-1·29]). Participants in the highest quintile of the glycaemic load had a higher risk of incident type 2 diabetes compared with those in the lowest quintile (HR 1·21, 95% CI 1·06-1·37). The glycaemic index was more strongly associated with diabetes among individuals with a higher BMI (quintile 5 vs quintile 1; HR 1·23 [95% CI 1·08-1·41]) than those with a lower BMI (quintile 5 vs quintile 1; 1·10 [0·87-1·39]; p interaction=0·030).

    INTERPRETATION: Diets with a high glycaemic index and a high glycaemic load were associated with a higher risk of incident type 2 diabetes in a multinational cohort spanning five continents. Our findings suggest that consuming low glycaemic index and low glycaemic load diets might prevent the development of type 2 diabetes.

    FUNDING: Full funding sources are listed at the end of the Article.

    Matched MeSH terms: Cohort Studies
  13. Bauer M, Glenn T, Alda M, Andreassen OA, Angelopoulos E, Ardau R, et al.
    Eur. Psychiatry, 2015 Jan;30(1):99-105.
    PMID: 25498240 DOI: 10.1016/j.eurpsy.2014.10.005
    PURPOSE: Two common approaches to identify subgroups of patients with bipolar disorder are clustering methodology (mixture analysis) based on the age of onset, and a birth cohort analysis. This study investigates if a birth cohort effect will influence the results of clustering on the age of onset, using a large, international database.

    METHODS: The database includes 4037 patients with a diagnosis of bipolar I disorder, previously collected at 36 collection sites in 23 countries. Generalized estimating equations (GEE) were used to adjust the data for country median age, and in some models, birth cohort. Model-based clustering (mixture analysis) was then performed on the age of onset data using the residuals. Clinical variables in subgroups were compared.

    RESULTS: There was a strong birth cohort effect. Without adjusting for the birth cohort, three subgroups were found by clustering. After adjusting for the birth cohort or when considering only those born after 1959, two subgroups were found. With results of either two or three subgroups, the youngest subgroup was more likely to have a family history of mood disorders and a first episode with depressed polarity. However, without adjusting for birth cohort (three subgroups), family history and polarity of the first episode could not be distinguished between the middle and oldest subgroups.

    CONCLUSION: These results using international data confirm prior findings using single country data, that there are subgroups of bipolar I disorder based on the age of onset, and that there is a birth cohort effect. Including the birth cohort adjustment altered the number and characteristics of subgroups detected when clustering by age of onset. Further investigation is needed to determine if combining both approaches will identify subgroups that are more useful for research.

    Matched MeSH terms: Cohort Studies
  14. Wahab NA, Razak NZ, Sukor N, Zainudin S, Razali AM, Mustafa N, et al.
    Arch Iran Med, 2015 Feb;18(2):89-93.
    PMID: 25644796 DOI: 015182/AIM.006
    Acute ischemic stroke is a stressful condition where there is marked increase in the production of cortisol. In the past, adrenal insufficiency in critically ill patients had been shown to be associated with significant morbidity and mortality. To date, there have been no studies performed to determine its prevalence among patients with acute ischemic stroke. 
    Matched MeSH terms: Cohort Studies
  15. Bamia C, Lagiou P, Jenab M, Aleksandrova K, Fedirko V, Trichopoulos D, et al.
    Br. J. Cancer, 2015 Mar 31;112(7):1273-82.
    PMID: 25742480 DOI: 10.1038/bjc.2014.654
    BACKGROUND: Vegetable and/or fruit intakes in association with hepatocellular carcinoma (HCC) risk have been investigated in case-control studies conducted in specific European countries and cohort studies conducted in Asia, with inconclusive results. No multi-centre European cohort has investigated the indicated associations.

    METHODS: In 486,799 men/women from the European Prospective Investigation into Cancer and nutrition, we identified 201 HCC cases after 11 years median follow-up. We calculated adjusted hazard ratios (HRs) for HCC incidence for sex-specific quintiles and per 100 g d(-1) increments of vegetable/fruit intakes.

    RESULTS: Higher vegetable intake was associated with a statistically significant, monotonic reduction of HCC risk: HR (100 g d(-1) increment): 0.83; 95% CI: 0.71-0.98. This association was consistent in sensitivity analyses with no apparent heterogeneity across strata of HCC risk factors. Fruit intake was not associated with HCC incidence: HR (100 g d(-1) increment): 1.01; 95% CI: 0.92-1.11.

    CONCLUSIONS: Vegetable, but not fruit, intake is associated with lower HCC risk with no evidence for heterogeneity of this association in strata of important HCC risk factors. Mechanistic studies should clarify pathways underlying this association. Given that HCC prognosis is poor and that vegetables are practically universally accessible, our results may be important, especially for those at high risk for the disease.
    Matched MeSH terms: Cohort Studies
  16. Abdollahi F, Zarghami M, Sazlina SG, Lye MS
    Early intervention in psychiatry, 2017 Feb;11(1):57-62.
    PMID: 25582677 DOI: 10.1111/eip.12215
    AIM: Prolonged depression during the post-partum period is associated with maternal and infant mortality and morbidity. Less attention has been given to factors that predict the persistence of depression beyond the first 3 months post-partum.
    METHODS: From a longitudinal cohort of 2279 women who attended Mazandaran's primary health centres in 2009, 478 women with an Edinburgh Postnatal Depression Scale (EPDS) score of 12 or greater in the third trimester of pregnancy were recruited. Persistently depressed women (depressed at all three occasions: during pregnancy, and at 2 and 12 weeks post-partum) were compared with those without depression to determine demographic, cultural, obstetric and biopsychosocial predictors for persistence of depression. Data were analysed using chi-square test, t-test and logistic regression models.
    RESULTS: The stability of depression was found in 193 (46.2 %) of 418 depressed cases who were followed up over the study period. Of those mothers who scored more than the threshold of 12 during the third trimester of pregnancy, 277 (66.3%) and 221 (52.9%) had high EPDS at 2 and 12 weeks post-partum. Psychological distress (based upon the General Health Questionnaire), low maternal parental self-efficacy (based upon the Parental Expectation Survey) and perceived social isolation (based upon the Network Orientation Scale) were independent predictors of persistent depression.
    CONCLUSION: Fewer depressed mothers in this study were found to recover during the first 3 months after giving birth. Psychosocial factors predicted sustained depression from pregnancy to 3 months post-partum. The findings highlight the significance of support in enhancing maternal mental health.
    Matched MeSH terms: Cohort Studies
  17. Dujaili JA, Sulaiman SA, Hassali MA, Awaisu A, Blebil AQ, Bredle JM
    Int J Infect Dis, 2015 Feb;31:4-8.
    PMID: 25486011 DOI: 10.1016/j.ijid.2014.12.004
    To determine how tuberculosis (TB) treatment affects the health-related quality of life (HRQL) of patients with pulmonary TB and to identify the predictors of favourable TB treatment outcomes in Baghdad, Iraq.
    Matched MeSH terms: Cohort Studies
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