bluuebunny/crossref_metadata_2025_split huggingface dataset:
AMPI-AB validity and reliability: a multidimensional tool in resource-limited primary care settings
Authors: Saraiva Marcos Daniel , Venys Amanda Lagreca , Abdalla Fábio Luiz Pantaleão , Fernandes Mariana Seabra , Pisoli Priscila Henriques , Sousa Danilsa Margareth da Rocha Vilhena , Bianconi Barbara Lobo , Henrique Expedita Ângela , Garcia Vanessa Silva Suller , Maia Lucas Henrique de Mendonça , Suzuki Gisele Sayuri , Serrano Priscila Gonçalves , Hiratsuka Marcel , Szlejf Claudia , Jacob-Filho Wilson , Paschoal Sérgio Márcio Pacheco 
Published: March 2020

Abstract
Background
The early identification of individuals at high risk for adverse outcomes by a Comprehensive Geriatric Assessment (CGA) in resource-limited primary care settings enables tailored treatments, however, the evidence concerning its benefits are still controversial. The main objective of this study was to examine the validity and reliability of the “Multidimensional Assessment of Older People in Primary Care (AMPI-AB)”, a CGA for primary care in resource-limited settings.

Methods
Longitudinal study, with median follow-up time of 16 months. Older adults from a public primary care unit in São Paulo, Brazil, were consecutively admitted. Reliability was tested in a sample from a public geriatric outpatient clinic. Participants were classified by the AMPI-AB score as requiring a low, intermediate or high complexity of care. The Physical Frailty Phenotype was used to explore the AMPI-AB’s concurrent validity. Predictive validity was assessed with mortality, worsening of the functional status, hospitalizations, emergency room (ER) visits and falls. The area under the ROC curve and logistic regression were calculated for binary outcomes, and a Cox proportional hazards model was used for survival analysis.

Results
Older adults (n = 317) with a median age of 80 (74–86) years, 67% female, were consecutively admitted. At the follow-up, 7.1% of participants had died, and increased dependency on basic and instrumental activities of daily living was detected in 8.9 and 41.1% of the participants, respectively. The AMPI-AB score was accurate in detecting frailty (area under the ROC curve = 0.851), predicted mortality (HR = 1.25, 95%CI = 1.13–1.39) and increased dependency on basic (OR = 1.26, 95%CI = 1.10–1.46) and instrumental (OR = 1.22, 95%CI = 1.12–1.34) activities of daily living, hospitalizations (OR = 2.05, 95%CI = 1.04–1.26), ER visits (OR = 1.20, 95%CI = 1.10–1.31) and falls (OR = 1.10, 95%CI = 1.01–1.20), all models adjusted for sex and years of schooling. Reliability was tested in a sample of 52 older adults with a median age of 72 (85–64) years, 63.5% female. The AMPI-AB also had good interrater (ICC = 0.87, 95%CI = 0.78–0.92), test-retest (ICC = 0.86, 95%CI = 0.76–0.93) and proxy reliability (ICC = 0.84, 95%CI = 0.67–0.93). The Cronbach’s alpha was 0.69, and the mean AMPI-AB administration time was 05:44 ± 02:42 min.

Conclusion
The AMPI-AB is a valid and reliable tool for managing older adults in resource-limited primary care settings.
Google Health Trends performance reflecting dengue incidence for the Brazilian states
Authors: Romero-Alvarez Daniel , Parikh Nidhi , Osthus Dave , Martinez Kaitlyn , Generous Nicholas , del Valle Sara , Manore Carrie A. 
Published: March 2020

Abstract
Background
Dengue fever is a mosquito-borne infection transmitted by Aedes aegypti and mainly found in tropical and subtropical regions worldwide. Since its re-introduction in 1986, Brazil has become a hotspot for dengue and has experienced yearly epidemics. As a notifiable infectious disease, Brazil uses a passive epidemiological surveillance system to collect and report cases; however, dengue burden is underestimated. Thus, Internet data streams may complement surveillance activities by providing real-time information in the face of reporting lags.

Methods
We analyzed 19 terms related to dengue using Google Health Trends (GHT), a free-Internet data-source, and compared it with weekly dengue incidence between 2011 to 2016. We correlated GHT data with dengue incidence at the national and state-level for Brazil while using the adjusted R squared statistic as primary outcome measure (0/1). We used survey data on Internet access and variables from the official census of 2010 to identify where GHT could be useful in tracking dengue dynamics. Finally, we used a standardized volatility index on dengue incidence and developed models with different variables with the same objective.

Results
From the 19 terms explored with GHT, only seven were able to consistently track dengue. From the 27 states, only 12 reported an adjusted R squared higher than 0.8; these states were distributed mainly in the Northeast, Southeast, and South of Brazil. The usefulness of GHT was explained by the logarithm of the number of Internet users in the last 3 months, the total population per state, and the standardized volatility index.

Conclusions
The potential contribution of GHT in complementing traditional established surveillance strategies should be analyzed in the context of geographical resolutions smaller than countries. For Brazil, GHT implementation should be analyzed in a case-by-case basis. State variables including total population, Internet usage in the last 3 months, and the standardized volatility index could serve as indicators determining when GHT could complement dengue state level surveillance in other countries.
Joint modelling of longitudinal and time-to-event data: an illustration using CD4 count and mortality in a cohort of patients initiated on antiretroviral therapy
Authors: Mchunu Nobuhle N. , Mwambi Henry G. , Reddy Tarylee , Yende-Zuma Nonhlanhla , Naidoo Kogieleum 
Published: March 2020

Abstract
Background
Modelling of longitudinal biomarkers and time-to-event data are important to monitor disease progression. However, these two variables are traditionally analyzed separately or time-varying Cox models are used. The former strategy fails to recognize the shared random-effects from the two processes while the latter assumes that longitudinal biomarkers are exogenous covariates, resulting in inefficient or biased estimates for the time-to-event model. Therefore, we used joint modelling for longitudinal and time-to-event data to assess the effect of longitudinal CD4 count on mortality.

Methods
We studied 4014 patients from the Centre for the AIDS Programme of Research in South Africa (CAPRISA) who initiated ART between June 2004 and August 2013. We used proportional hazards regression model to assess the effect of baseline characteristics (excluding CD4 count) on mortality, and linear mixed effect models to evaluate the effect of baseline characteristics on the CD4 count evolution over time. Thereafter, the two analytical approaches were amalgamated to form an advanced joint model for studying the effect of longitudinal CD4 count on mortality. To illustrate the virtues of the joint model, the results from the joint model were compared to those from the time-varying Cox model.

Results
Using joint modelling, we found that lower CD4 count over time was associated with a 1.3-fold increase in the risk of death, (HR: 1.34, 95% CI: 1.27-1.42). Whereas, results from the time-varying Cox model showed lower CD4 count over time was associated with a 1.2-fold increase in the risk of death, (HR: 1.17, 95% CI: 1.12-1.23).

Conclusions
Joint modelling enabled the assessment of the effect of longitudinal CD4 count on mortality while correcting for shared random effects between longitudinal and time-to-event models. In the era of universal test and treat, the evaluation of CD4 count is still crucial for guiding the initiation and discontinuation of opportunistic infections prophylaxis and assessment of late presenting patients. CD4 count can also be used when immunological failure is suspected as we have shown that it is associated with mortality.
Methicillin-resistant Staphylococcus aureus nasal colonization among HIV-infected patients in Taiwan: prevalence, molecular characteristics and associated factors with nasal carriage
Authors: Hsu Yi-Yu , Wu David , Hung Chien-Ching , Huang Shie-Shian , Yuan Fang-Hsueh , Lee Ming-Hsun , Huang Ching-Tai , Shie Shian-Sen , Huang Po-Yen , Yang Chien-Chang , Cheng Chun-Wen , Leu Hsieh-Shong , Wu Ting-Shu , Huang Yhu-Chering 
Published: March 2020

Abstract
Background
To evaluate nasal carriage, antibiotic susceptibility and molecular characteristics of methicillin-resistant Staphylococcus aureus (MRSA), as well as the risk factors of MRSA colonization, in human immunodeficiency virus (HIV)-infected patients in northern Taiwan.

Methods
From September 2014 to November 2015, HIV-infected patients seeking outpatient care at four hospitals were eligible for this study. A nasal specimen was obtained from each subject for the detection of S. aureus and a questionnaire was completed by each subject. MRSA isolates once identified were characterized.

Results
Of 553 patients surveyed, methicillin-susceptible S. aureus (MSSA) was detected in 119 subjects (21.5%) and MRSA in 19 subjects (3.4%). Female gender, injection drug use, smoking, hepatitis C virus carrier, cancer and antibiotic use within 1 year were positively associated with MRSA colonization. By multivariate analysis, only cancer (adjust odds ratio (aOR) 7.78, [95% confidence interval (CI), 1.909–31.731]) and antibiotic use within 1 year (aOR 3.89, [95% CI, 1.219–12.433]) were significantly associated with MRSA colonization. Ten isolates were characterized as sequence type (ST) 59/staphylococcal chromosome cassette (SCC) IV or VT, endemic community strains in Taiwan, four isolates as ST 8/SCCmec IV (USA 300) and one isolate as ST 239/SCCmec IIIA, a hospital strain. All the community-associated MRSA isolates were susceptible to trimethoprim-sulfamethoxazole (TMP-SMX).

Conclusions
Nasal MRSA carriage in HIV-infected patients seeking outpatient care was low (3.4%) in northern Taiwan. Most of the colonizing isolates were genetically endemic community strains and exhibited high susceptibility to TMP-SMX and fluoroquinolones. Cancer and antibiotic use within 1 year were associated with MRSA colonization.
Identification of novel biomarkers in ischemic stroke: a genome-wide integrated analysis
Authors: Xie Qizhi , Zhang Xiaoyun , Peng Sijia , Sun Jingjing , Chen Xiao , Deng Yuanfei , Yi Li 
Published: March 2020

Abstract
Background
Ischemic Stroke (IS) is the most common neurological emergency disease and has become the second most frequent cause of death after coronary artery disease in 2015. Owing to its high fatality rate and narrow therapeutic time window, early identification and prevention of potential stroke is becoming increasingly important.

Methods
We used meta-analysis and bioinformatics mining to explore disease-related pathways and regulatory networks after combining messengerRNA (mRNA) and miRNA expression analyses. The purpose of our study was to screen for candidate target genes and microRNA(miRNA) for early diagnosis of potential stroke.

Results
Five datasets were collected from the Gene Expression Omnibus (GEO) database by systematical retrieval, which contained three mRNA datasets (102 peripheral blood samples in total) and two miRNA dataset (59 peripheral blood samples). Approximately 221 different expression(DE) mRNAs (155 upregulated and 66 downregulated mRNAs) and 185 DE miRNAs were obtained using the metaDE package and GEO2R tools. Further functional enrichments of DE-mRNA, DE-miRNA and protein-protein interaction (PPI) were performed and visualized using Cytoscape.

Conclusion
Our study identified six core mRNAs and two regulated miRNAs in the pathogenesis of stroke, and we elaborated the intrinsic role of systemic lupus erythematosus (SLE) and atypical infections in stroke, which may aid in the development of precision medicine for treating ischemic stroke. However, the role of these novel biomarkers and the underlying molecular mechanisms in IS require further fundamental experiments and further clinical evidence.
Obesity-related loci in TMEM18, CDKAL1 and FAIM2 are associated with obesity and type 2 diabetes in Chinese Han patients
Authors: Kang Jing , Guan Ren-Chu , Zhao Ying , Chen Yan 
Published: March 2020

Abstract
Background
Several obesity susceptibility loci in genes, including GNPDA2, SH2B1, TMEM18, MTCH2, CDKAL1, FAIM2, and MC4R, have been identified by genome-wide association studies. The purpose of this study was to investigate whether these loci are associated with the concurrence of obesity and type 2 diabetes in Chinese Han patients.

Methods
Using the SNaPshot technique, we genotyped seven single nucleotide polymorphisms (SNPs) in 439 Chinese patients living in Northeast China who presented at The Second Hospital of Jilin University. We analyzed the associations between these seven alleles and clinical characteristics.

Results
Risk alleles near TMEM18 (rs6548238) were associated with increased waist circumference, waist/hip ratio, body mass index (BMI), fasting plasma glucose, hemoglobin A1c, diastolic blood pressure, triglycerides, total cholesterol, and low-density lipoprotein-cholesterol; risk alleles of CDKAL1 (rs7754840) were associated with increased waist circumference and waist/hip ratio; and FAIM2 (rs7138803) risk alleles were linked to increased BMI, diastolic blood pressure, and triglycerides (all P < 0.05). After adjusting for sex and age, loci near TMEM18 (rs6548238) and FAIM2 (rs7138803), but not SH2B1 (rs7498665), near GNPDA2 (rs10938397), MTCH2 (rs10838738) and near MC4R (rs12970134), were associated with increased risk for type 2 diabetes in obese individuals.

Conclusion
We found that loci near TMEM18 (rs6548238), CDKAL1 (rs7754840), and FAIM2 (rs7138803) may be associated with obesity-related indicators, and loci near TMEM18 (rs6548238) and FAIM2 (rs7138803) may increase susceptibility of concurrent type 2 diabetes associated with obesity.
Association between the IL-10 and IL-6 polymorphisms and brucellosis susceptibility: a meta-analysis
Authors: Jin Xiaochun , Wu Yueyuan , Yin Shuzhou , Chen Xu , Zhang Youtao 
Published: March 2020

AbstractBackgroundBrucellosis is a quite normal zoonotic infection, which is caused by immediate contact with animals infected with Brucella or its products. IL-10 (− 1082 G/A, − 819 C/T, − 592C/A) and IL-6 -174 G/C polymorphisms have a great relationship with IL-10 and IL-6 production, which brings about Brucellosis pathogenesis and development. So far, the results of published literatures were controversial. Now, we perform a meta-analysis in different ethnic populations to get a more precise estimate of above polymorphisms with Brucellosis susceptibility.MethodsBoth OR and corresponding 95%CI were enrolled to make an assessment of the association strength through extracting genotyping frequency of cases and controls. The χ2-test based Q-statistic and I2statistics were applied. If there was no evident heterogeneity, the fixed-effects model would be applied. If not, the random-effects model would be used.ResultsThe significant associations were only found in Asian population of − 819 loci under three genetic models as follows: (Allele model: OR = 0.60, 95%CI = 0.44–0.82,P = 0.001), (homozygote comparison: OR = 0.24, 95%CI = 0.09–0.62,P = 0.003), (recessive genetic model: OR = 0.22, 95%CI = 0.05–0.91,P = 0.036).ConclusionIn conclusion, IL-10 − 819 loci polymorphism contributes no risk to Caucasian population but may be associated with decreased risk in Asian population. And IL-10 -1082 G/A, 592 loci and IL-6 -174 G/C polymorphism are not associated with Brucellosis risk.
Prevalence of postpartum depression and associated factors among postnatal care attendees in Debre Berhan, Ethiopia, 2018
Authors: Wubetu Abate Dargie , Engidaw Nigus Alemnew , Gizachew Kefyalew Dagne 
Published: March 2020

Abstract
Background
Postpartum depression explains various groups of depressive symptoms and syndromes that can take place during the first 6 weeks following birth. The postpartum period is a critical time where both mild and severe mood disorders can occur. The familiar forms are baby blues and postpartum depression. Understanding the prevalence and associated factors of postpartum depression is mandatory for early detection and treatment.

Methods
Institution based cross-sectional study was conducted from 1st May to June 30, 2018. The study participants were eligible women who came to Debre Berhan referral hospital and health centers for postnatal care and vaccination service. The Edinburgh postnatal depression scale was used to assess postpartum depression. A systematic random sampling technique was used to collect the data after determining the skip fraction (k = 2). The collected data were coded and entered into Epi-info version 7 and transported to SPSS version 20 for analysis. Both bivariate and multivariate binary logistic regression were done to identify associated factors. During bivariate analysis, variables with p-value < 0.05 were included in multivariate analysis. Odds ratios and their 95% confidence intervals were computed and variables with p-value less than 0.05 were considered to declare significantly associated factors (multivariate analysis).

Results
A total of 308 mothers who attended postpartum care we're included, which was a 100% response rate. The prevalence of postpartum depression was found to be 15.6% (95%CI = 11.7, 19.8). Being widowed/widower, having poor social support, having a current hospitalized child, and experienced a death of family member or close relative were significantly associated with postpartum depression.

Conclusions
The prevalence of postpartum depression was lower than most studies done in different areas. Major life events and traumas are associated with an increased risk of postpartum depression. Health professionals should be aware of the mother’s circumstances during the puerperium, they should initiate support to reduce the risk of depression in the postpartum period. Health care professionals working postpartum care clinics should give special attention to mothers who are widowed/widower, have poor social support, have a current hospitalized children, and experienced a death of family member or close relative.
Trends of stillbirth among reproductive-age women in Ethiopia based on Ethiopian demographic and health surveys: a multivariate decomposition analysis
Authors: Tesema Getayeneh Antehunegn , Gezie Lemma Derseh , Nigatu Solomon Gedlu 
Published: March 2020

Abstract
Background
Despite the effort to reduce stillbirth, Ethiopia remains one of the countries with the highest rate in the world. Therefore, this study aimed to analyze the trends of stillbirth among births from reproductive age women over time based on Ethiopian Demographic and Health Surveys (EDHSs).

Methods
Secondary data analysis was conducted based on the Ethiopian Demographic Health Surveys (EDHSs) conducted in 2005, 2011 and 2016. A total weighted sample of 12,037, 10,588, and 11,375 in 2005, 2011 and 2016 respectively were included for analysis. Trend and Logistic based decomposition analysis technique was used for analyzing the trends of stillbirth over time and factors contributing to the change in stillbirth rate. STATA 14 was employed for data management and analyses. All analyses presented in this paper were weighted for the sampling probabilities and non-response. Complex sampling procedures were also considered during testing of statistical significance.

Results
Among women of reproductive age, the stillbirth rate declined from 13.3/1000 births in 2005 to 9.2 per 1000 births in 2016 with the annual rate of reduction of 3.1%. The study found that the stillbirth rate has been declined over time concerning the place of residence, region, antenatal care, education and place of delivery. The decomposition analysis indicated that about 82.3% of the overall change stillbirth rate was due to the difference in women’s composition. Particularly, an increase in women’s urban place of residence, health facility delivery, and cesarean delivery were significant predictors for the decline in stillbirth rate over the surveys.

Conclusions
The stillbirth rate has been declined over time. More than 3/4th of the decrease in stillbirth rate was due to the difference in characteristics of women over the surveys. The increase in women’s urban place of residence, an increase in cesarean delivery and health facility delivery significantly contributed to the decrease in stillbirth rate over time. Public health interventions targeting rural resident women, strengthening emergency obstetric services and health facility delivery would help to maintain the decreasing trend of stillbirth rate in Ethiopia.
Evaluation of cinnamon extract effects on clbB gene expression and biofilm formation in Escherichia coli strains isolated from colon cancer patients
Authors: Kosari Faezah , Taheri Mohammad , Moradi Abbas , Hakimi Alni Reza , Alikhani Mohammad Yousef 
Published: March 2020

Abstract
Background
Colon cancer is one of the most common malignancies and the fourth leading cause of cancer-related mortality in the world. Colibactin, which is synthesized by the pks genomic island of E. coli interfere with the eukaryotic cell cycle. Cinnamon has an antimicrobial effect and considered as a colon cancer-preventing agent. The aim of the study was to evaluate the effects of cinnamon extract and cinnamaldehyde on clbB gene expression and biofilm formation in clinical isolates of E. coli.

Methods
Thirty E. coli carrying pks gene were isolated from the colon cancer patients, inflammatory bowel disease and healthy subjects. Antibiotic susceptibility was evaluated by disk diffusion method and the minimum inhibitory concentration of cinnamon essential oil and cinnamaldehyde by microdilution broth method. In vitro biofilm formation of E.coli isolates was monitored using a microtiter plate method. The presence of clbB, clbA and clbQ genes in E.coli isolates were evaluated by PCR. The effect of cinnamaldehyde and cinnamon essential oil on clbB gene expression was evaluated by Real-Time PCR.

Results
The highest antibiotic resistance was obtained with 94.4% for ticarcillin-clavulanic acid, azithromycin, amoxicillin, and amikacin. The MIC for all clinical isolates was 32 μl/ml of cinnamon essential oil and the MIC of cinnamaldehyde was between 0.00002 to 0.03 μl/ml. After exposure of isolates to cinnamon extract and cinnamaldehyde, 40 and 13.3% were weakly biofilm producers, respectively. The frequencies of clbB, clbA, and clbQ genes were 23.3, 23.3, and 26.7%, respectively. The expression of clbB gene in the presence of the Sub-MIC concentration of cinnamon essential oil and cinnamaldehyde was decreased in 8 isolates compared to untreated isolates (p-value < 0.05).

Conclusions
The antibacterial activity of cinnamaldehyde and cinnamon essential oil allows the use of these herbal compounds for treatment or supplements in infections caused by E. coli and in patients with suspected colorectal cancer.