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Archives of Razi Institute Feb 2022In prediabetes, blood glucose levels are higher than normal; however, they remain below the diabetes threshold. Studies conducted on biomarkers for this disease result...
In prediabetes, blood glucose levels are higher than normal; however, they remain below the diabetes threshold. Studies conducted on biomarkers for this disease result in controlling diabetes mellitus (DM) or reducing the risk of developing complications. Lipid profile parameters are considered important predictors of DM. Therefore, this study was conducted on three groups of normoglycemic (n=30), pre-diabetics (n=125), and diabetics (n=30) to recognize the predictive role of lipid parameters in the transition from pre-diabetes to diabetes. In this experiment, in addition to total cholesterol and triglycerides, very-low-density lipoprotein (VLDL), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride/HDL ratio, and fasting triglyceride-fasting blood glucose (FBG) index were measured. Based on the results, medians for total cholesterol, LDL, HDL, LDL/HDL ratio, cholesterol/HDL ratio, and LDL/HDL ratio did not differ significantly across the groups of normoglycemia, prediabetes, and diabetes. For triglyceride, the medians were significantly higher in pre-diabetes and also diabetes, compared to normoglycemia (i.e., 127.9 and 129.1 vs. 94.5 mg/dL, respectively [<0.001]). Moreover, the same results were observed in the case of VLDL (i.e., 25.6 and 30.9 vs. 18.9 mg/dL, respectively). The triglyceride/HDL ratio significantly increased pre-diabetics and diabetics, compared to normoglycemic (2.72 and 2.67 vs. 2.18, respectively). Moreover, the median of the triglyceride-FBG index significantly had an increase in pre-diabetics and diabetics, compared to normoglycemic (8.89 and 9.38 vs. 8.22, respectively). The importance of triglyceride, VLDL, triglyceride/HDL ratio, and triglyceride-FBG index in distinguishing between pre-diabetes and normoglycemia was verified by a receiver operating characteristic curve analysis of the results. Logistic regression analysis confirmed the risk effects of the four parameters on pre-diabetes and diabetes. Therefore, triglyceride, VLDL, triglyceride-FBG index, and triglyceride/HDL ratio are considered promising biomarkers used to predict pre-diabetes and DM in the general population.
Topics: Biomarkers; Blood Glucose; Cholesterol; Cholesterol, LDL; Diabetes Mellitus; Prediabetic State; Triglycerides; Humans
PubMed: 35891716
DOI: 10.22092/ARI.2021.356465.1846 -
Blood Cancer Journal Mar 2024Induction regimens for multiple myeloma (MM) commonly include bortezomib, which has typically been administered twice weekly despite studies demonstrating comparable...
Induction regimens for multiple myeloma (MM) commonly include bortezomib, which has typically been administered twice weekly despite studies demonstrating comparable efficacy and less peripheral neuropathy (PN) with once-weekly bortezomib. We aimed to analyze the real-world prevalence and efficacy of once-weekly versus twice-weekly bortezomib regimens in newly diagnosed MM. We analyzed 2497 US patients aged 18-70 years treated with commercial first-line bortezomib using nationwide Flatiron Health electronic health record-derived data, including 910 (36.4%) patients who received twice-weekly and 1522 (63.2%) who received once-weekly bortezomib. Once-weekly bortezomib use increased over time, from 57.7% in 2017 to 73.1% in 2022. Multivariate analysis identified worsened performance status and more recent year of diagnosis with higher odds of receiving once-weekly bortezomib. Real-world progression-free survival (median 37.2 months with once-weekly versus 39.6 months with twice-weekly, p = 0.906) and overall survival (medians not reached in either cohort, p = 0.800) were comparable. PN rates were higher in patients receiving twice-weekly bortezomib (34.7% versus 18.5%, p < 0.001). In conclusion, once-weekly bortezomib is clearly associated with similar efficacy and fewer toxicities compared to twice-weekly bortezomib. Our findings support once-weekly bortezomib as a standard-of-care regimen for newly diagnosed patients with MM.
Topics: Humans; Bortezomib; Multiple Myeloma; Drug Administration Schedule; Treatment Outcome; Disease-Free Survival; Antineoplastic Combined Chemotherapy Protocols; Dexamethasone
PubMed: 38519476
DOI: 10.1038/s41408-024-01034-6 -
Annals of Oncology : Official Journal... Feb 2019Recent published studies have shown meaningful discrepancies between local investigator and blinded, independent, central review (BICR) assessed median progression-free...
BACKGROUND
Recent published studies have shown meaningful discrepancies between local investigator and blinded, independent, central review (BICR) assessed median progression-free survival (PFS). When the local review but not BICR shows progression, generally, no further assessments are carried out and patients are censored in the BICR analysis, leading to violation of the statistical assumptions of independence between censoring and outcome used in survival analysis methods.
METHODS
We carried out a simulation study to assess methodological reasons behind these discrepancies and corroborated our findings in a case study of three BRCA-mutated ovarian cancer trials. We briefly outline possible methodological solutions that may lead to improved estimation of the BICR medians.
RESULTS
The Kaplan-Meier (KM) curve for the BICR PFS can often be exaggerated. The degree of bias is largest when there is reasonably strong correlation between BICR and local PFS, especially when PFS is long compared with assessment frequency. This can result in an exaggeration of the medians and their difference; however, the hazard ratio (HR) is much less susceptible to bias. Our simulation shows that when the true BICR median PFS was 19 months, and patients assessed every 12 weeks, the estimated KM curves were materially biased whenever the correlation between BICR and local PFS was 0.4 or greater. This was corroborated by case studies where, in the active arm, the BICR median PFS was between 6 and 11 months greater than the local median PFS. Further research is required to find improved methods for estimating BICR survival curves.
CONCLUSIONS
In general, when there is a difference between local and BICR medians, the true BICR KM curve is likely to be exaggerated and its true median will probably lie somewhere between the observed local and BICR medians. Presentation of data should always include both BICR and local results whenever a BICR is carried out.
Topics: BRCA1 Protein; Computer Simulation; Disease Progression; Female; Humans; Mutation; Ovarian Neoplasms; Poly(ADP-ribose) Polymerase Inhibitors; Progression-Free Survival; Single-Blind Method; Survival Rate
PubMed: 30475951
DOI: 10.1093/annonc/mdy514 -
BMC Bioinformatics May 2018Recently, Pereira Zanetti, Biller and Meidanis have proposed a new definition of a rearrangement distance between genomes. In this formulation, each genome is...
BACKGROUND
Recently, Pereira Zanetti, Biller and Meidanis have proposed a new definition of a rearrangement distance between genomes. In this formulation, each genome is represented as a matrix, and the distance d is the rank distance between these matrices. Although defined in terms of matrices, the rank distance is equal to the minimum total weight of a series of weighted operations that leads from one genome to the other, including inversions, translocations, transpositions, and others. The computational complexity of the median-of-three problem according to this distance is currently unknown. The genome matrices are a special kind of permutation matrices, which we study in this paper. In their paper, the authors provide an [Formula: see text] algorithm for determining three candidate medians, prove the tight approximation ratio [Formula: see text], and provide a sufficient condition for their candidates to be true medians. They also conduct some experiments that suggest that their method is accurate on simulated and real data.
RESULTS
In this paper, we extend their results and provide the following: Three invariants characterizing the problem of finding the median of 3 matrices A sufficient condition for uniqueness of medians that can be checked in O(n) A faster, [Formula: see text] algorithm for determining the median under this condition A new heuristic algorithm for this problem based on compressed sensing A [Formula: see text] algorithm that exactly solves the problem when the inputs are orthogonal matrices, a class that includes both permutations and genomes as special cases.
CONCLUSIONS
Our work provides the first proof that, with respect to the rank distance, the problem of finding the median of 3 genomes, as well as the median of 3 permutations, is exactly solvable in polynomial time, a result which should be contrasted with its NP-hardness for the DCJ (double cut-and-join) distance and most other families of genome rearrangement operations. This result, backed by our experimental tests, indicates that the rank distance is a viable alternative to the DCJ distance widely used in genome comparisons.
Topics: Algorithms; Computer Simulation; Databases, Genetic; Gene Rearrangement; Genome; Genomics; Models, Genetic; Mutation
PubMed: 29745865
DOI: 10.1186/s12859-018-2131-4 -
Archives of Clinical Neuropsychology :... Jul 2021The increasing ethnic diversity in the European Union (EU) calls for adaptations to neuropsychological assessment practices. The aims of this study were to examine the...
OBJECTIVE
The increasing ethnic diversity in the European Union (EU) calls for adaptations to neuropsychological assessment practices. The aims of this study were to examine the current state of cross-cultural neuropsychological assessment in EU-15 countries and to provide recommendations for researchers and policy makers.
METHOD
Twelve experts from nine EU-15 countries participated in a Delphi consensus study involving two sequential rounds of web-based questionnaires and an in-person consensus meeting. The experts individually rated Delphi topics on the basis of importance (scale 1-10). The degree of consensus was determined by assessing first and third quartiles (Q1 and Q3) and medians.
RESULTS
Consensus outcomes showed the following priorities: (a) the development of tests (median importance rating 10, Q1-Q3: 9-10), (b) the collection of normative data (median importance rating 9, Q1-Q3: 8-10), and (c) more training, awareness, and knowledge regarding cross-cultural assessment among neuropsychologists in the EU (median importance rating 9, Q1-Q3: 8-10). Whereas memory tests were often available, tests measuring social cognition (median 9, Q1-Q3: 8-10) and language (median 9, Q1-Q3: 7-10) are particularly lacking. Recommendations were made regarding essential skills and knowledge necessary for cross-cultural neuropsychological assessment.
CONCLUSIONS
This study in a small group of experts suggests that the development and availability of cross-cultural tests and normative data should be prioritized, as well as the development and implementation of training initiatives. Furthermore, EU guidelines could be established for working with interpreters during neuropsychological assessment. Before implementing these recommendations, follow-up studies are recommended that include more minority neuropsychologists and community stakeholders.
Topics: Consensus; Cross-Cultural Comparison; European Union; Humans; Memory; Neuropsychological Tests
PubMed: 33043958
DOI: 10.1093/arclin/acaa083 -
The Journals of Gerontology. Series A,... Oct 2021Deficit accumulation frailty indices (FIs) are widely used to characterize frailty. FIs vary in number and composition of items; the impact of this variation on...
BACKGROUND
Deficit accumulation frailty indices (FIs) are widely used to characterize frailty. FIs vary in number and composition of items; the impact of this variation on reliability and clinical applicability is unknown.
METHOD
We simulated 12 000 studies using a set of 70 candidate deficits in 12 080 community-dwelling participants 65 years and older. For each study, we varied the number (5, 10, 15, 25, 35, 45) and composition (random selection) of items defining the FI and calculated descriptive and predictive estimates: frailty score, prevalence, frailty cutoff, mortality odds ratio, predicted probability of mortality for FI = 0.28 (prevalence threshold), and FI cutoff predicting 10% mortality over the follow-up. We summarized the estimates' medians and spreads (0.025-0.975 quantiles) by number of items and calculated intraclass correlation coefficients (ICCs).
RESULTS
Medians of frailty scores were 0.11-0.12 with decreasing spreads from 0.04-0.24 to 0.10-0.14 for 5-item and 45-item FIs. The median cutoffs identifying 15% as frail was 0.19-0.20 and stable; the spreads decreased with more items. However, medians and spreads for the prevalence of frailty (median: 11%-3%), mortality odds ratio (median: 1.24-2.19), predicted probability of mortality (median: 8%-17%), and FI cutoff predicting 10% mortality (median: 0.38-0.20) varied markedly. ICC increased from 0.19 (5-item FIs) to 0.84 (45-item FIs).
CONCLUSIONS
Variability in the number and composition of items of individual FIs strongly influences their reliability. Estimates using FIs may not be sufficiently stable for generalizing results or direct application. We propose avenues to improve the development, reporting, and interpretation of FIs.
Topics: Aged; Aging; Canada; Frail Elderly; Frailty; Humans; Longitudinal Studies; Reproducibility of Results
PubMed: 34097017
DOI: 10.1093/gerona/glab161 -
Tropical Medicine & International... Jun 2013To assess progress in improving use of medicines in developing and transitional countries by reviewing empirical evidence, 1990-2009, concerning patterns of primary care... (Review)
Review
OBJECTIVE
To assess progress in improving use of medicines in developing and transitional countries by reviewing empirical evidence, 1990-2009, concerning patterns of primary care medicine use and intervention effects.
METHODS
We extracted data on medicines use, study setting, methodology and interventions from published and unpublished studies on primary care medicine use. We calculated the medians of six medicines use indicators by study year, country income level, geographic region, facility ownership and prescriber type. To estimate intervention impacts, we calculated greatest positive (GES) and median effect sizes (MES) from studies meeting accepted design criteria.
RESULTS
Our review comprises 900 studies conducted in 104 countries, reporting data on 1033 study groups from public (62%), and private (mostly for profit) facilities (26%), and households. The proportion of treatment according to standard treatment guidelines was 40% in public and <30% in private-for-profit sector facilities. Most indicators showed suboptimal use and little progress over time: Average number of medicines prescribed per patient increased from 2.1 to 2.8 and the percentage of patients receiving antibiotics from 45% to 54%. Of 405 (39%) studies reporting on interventions, 110 (27%) used adequate study design and were further analysed. Multicomponent interventions had larger effects than single component ones. Median GES was 40% for provider and consumer education with supervision, 17% for provider education alone and 8% for distribution of printed education materials alone. Median MES showed more modest improvements.
CONCLUSIONS
Inappropriate medicine use remains a serious global problem.
Topics: Developing Countries; Humans; Inappropriate Prescribing; Pharmaceutical Preparations; Practice Patterns, Physicians'; Primary Health Care
PubMed: 23648177
DOI: 10.1111/tmi.12123 -
The Tokai Journal of Experimental and... Sep 2022The worldwide pandemic of SARS-CoV-2 and its B.1.1.529 variant, Omicron, remain a threat to health. In Japan, self-isolation in a room at home has been recommended in...
OBJECTIVE
The worldwide pandemic of SARS-CoV-2 and its B.1.1.529 variant, Omicron, remain a threat to health. In Japan, self-isolation in a room at home has been recommended in some prefectures to reduce the burden on hospitals. With the aim of preventing the infection of family members in other rooms, this study quantified the risk of infection by airborne transmission to mask-wearing, non-infected members of the household.
METHODS
A mathematical modeling approach was used to estimate the risk of airborne infection.
RESULTS
For pre-SARS-CoV-2 variants of concern (VOC), the risk of infection of non-mask-wearing family members had an LN distribution with GM of 0.11, GD of 5.38, and median of 0.11; whereas that of mask-wearing members had an LN distribution with GM of 0.05, GD of 5.46, and median of 0.05. For Delta variant, the risk of infection of non-mask-wearing family members had an LN distribution with GM of 0.39, GD of 76.30, and median of 0.40, and that of mask-wearing members had an LN distribution with GM of 0.18, GD of 76.30, and median of 0.18. The difference of these medians was 0.22, which suggests that family members wearing masks is effective for preventing infection, even for highly infectious variants.
Topics: COVID-19; Humans; Patient Isolation; Respiratory Aerosols and Droplets; SARS-CoV-2
PubMed: 36073286
DOI: No ID Found -
Vaccine Mar 2022Our objective was to describe and compare self-reported side effects ofCOVID-19 vaccinesin theUSA.
INTRODUCTION
Our objective was to describe and compare self-reported side effects ofCOVID-19 vaccinesin theUSA.
METHODS
Aweb-basedregistry enrolled volunteers who received a COVID-19 vaccine between March 19-July 15, 2021. We collected self-reported short-term side effects, medical consultation, hospitalization, and quality of life impact following completed vaccination regimens (Pfizer, Moderna, J&J).
RESULTS
We recruited 6,966 volunteers who completed their full course of vaccination (median age 48 years, IQR 35.0-62.0; 83.6% female): Pfizer 3,486; Moderna 2,857; J&J 623. Few (3.1%) sought medical care for post-vaccination side effects. Hospitalization (n = 17; 0.3%) and severe allergic reactions (n = 39; 0.6%) also were rare. Those with autoimmune disease or lung disease were approximately twice as likely to seek medical care (adjusted odds ratio (aOR) 2.01, 95% CI:1.39; 2.92 and aOR 1.70, 95% CI: 1.12; .58 respectively). 92.4% of participantsreported ≥ 1side effect (median 3), with injection site reactions (78.9%), fatigue (70.3%), headache (49.0%) reported most frequently. More side effects were reported after the second dose of two-dose vaccines (medians: 1 vs. 2 for Pfizer and 1 vs. 3 for Moderna for first and second doses respectively) versus 3 for J&J's single-dose vaccine. For the employed, the median number of workdays missed was one. Diabetics and those vaccinated against influenza were substantially less likely to report 3 or more symptoms (aOR 0.68, 95% CI: 0.56;0.82] and aOR 0.82, 95% CI: 0.73;0.93, respectively).
DISCUSSION
The total side effect burden was, not unexpectedly, greater with two-dose regimens but all three vaccines appear relatively safe. Very few subjects reported side effects serious enough to warrant medical care or reported post-vaccination hospitalization. While these findings do not address possible long-term effects, they do inform on their short-term safety and tolerability and will hopefully provide some reassurance and positively inform the benefit-risk and pharmacoeconomic assessment for all three vaccines. See Clinicaltrials.gov NCT04368065.
Topics: COVID-19; COVID-19 Vaccines; Female; Humans; Male; Middle Aged; Quality of Life; SARS-CoV-2; Vaccination
PubMed: 35177299
DOI: 10.1016/j.vaccine.2021.12.072 -
Archives of Public Health = Archives... Feb 2021Along with a nutritional transition in Sub-Saharan Africa, the prevalence of non-communicable diseases is increasing rapidly. We assess the association between food...
BACKGROUND
Along with a nutritional transition in Sub-Saharan Africa, the prevalence of non-communicable diseases is increasing rapidly. We assess the association between food intake and cardiometabolic risk factors in a rural population in Uganda.
METHODS
The present study was based on data from a household-based case-control study of diabetic and non-diabetic households in Southwestern Uganda, 2012-2013. We analysed food intake in 359 individuals age ≥ 13 years from 87 households, using a household food frequency questionnaire, and measures of glycated haemoglobin (HbA1c), height and weight. We used multinomial logistic regression to model abnormal HbA1c (≥5.7%) and weight status (underweight, normal weight and overweight) as an outcome of total food intake and by nine food groups. Results were reported as odds ratios (OR) with 95% confidence intervals (CI). Models were adjusted for three nested sets of covariates.
RESULTS
The diet primarily consisted of staple food (cassava and plantain). High-Glycaemic Index staple food was the most consumed food group (median = 14 servings/week, p25-p75: 11-17). Milk, meat, fish and vegetables were the least consumed food groups (medians: 0-3 servings/week). Median intake of sugary food was 6 servings/week (p25-p75: 2-9). The OR of having abnormal HbA1c or being overweight increased with every weekly serving of food (1.02, 95% CI: 1.00-1.04 and 1.01 95% CI: 1.00-1.03, respectively). Of specific food groups, each weekly serving of meat increased the OR of being overweight with 33% (95% CI: 1.08-1.64), and fruit intake decreased the OR of abnormal HbA1c (0.94, 95% CI: 0.88-1.00), though this latter association was attenuated after adjustment for weight status, aerobic capacity, and socioeconomic status.
CONCLUSION
Diet was monotonous, mainly consisting of cassava and plantain, and increasing food intake was associated with abnormal HbA1c and overweight. To prevent non-communicable diseases a diet with higher intake of fish and vegetables, and less sugary food is recommended.
PubMed: 33632319
DOI: 10.1186/s13690-021-00547-x