19 research outputs found
Contraceptive considerations for breastfeeding women within Jewish law
Breast milk has been shown to have multiple benefits to infant health and development. Therefore, it is important that maternal contraceptive choices consider the effects on lactation. Women who observe traditional Jewish law, halakha, have additional considerations in deciding the order of preference of contraceptive methods due to religious concerns including the use of barrier and spermicidal methods. In addition, uterine bleeding, a common side effect of hormonal methods and IUD, can have a major impact on the quality of intimacy and marital life due to the laws of niddah. This body of Jewish laws prohibits any physical contact from the onset of uterine bleeding until its cessation and for an additional week. Health care professionals should understand the issues of Jewish law involved in modern contraceptive methods in order to work in tandem with the halakha observant woman to choose a contraceptive method that preserves the important breastfeeding relationship with her infant and minimizes a negative impact on intimacy with her husband
Automatic Clustering of Flow Cytometry Data with Density-Based Merging
The ability of flow cytometry to allow fast single cell interrogation of a large number of cells has
made this technology ubiquitous and indispensable in the clinical and laboratory setting. A current limit to the potential of this technology is the lack of automated tools for analyzing the resulting data. We describe methodology and software to automatically identify cell populations in flow cytometry data. Our approach advances the paradigm of manually gating sequential two-dimensional projections of the data to a procedure that automatically produces gates based on statistical theory. Our approach is nonparametric and can reproduce nonconvex subpopulations that are known to occur in flow cytometry samples, but which cannot be produced with current parametric model-based approaches. We illustrate the methodology with a sample of mouse spleen and peritoneal cavity cells
The economic trade-offs of large language models: A case study
Contacting customer service via chat is a common practice. Because employing
customer service agents is expensive, many companies are turning to NLP that
assists human agents by auto-generating responses that can be used directly or
with modifications. Large Language Models (LLMs) are a natural fit for this use
case; however, their efficacy must be balanced with the cost of training and
serving them. This paper assesses the practical cost and impact of LLMs for the
enterprise as a function of the usefulness of the responses that they generate.
We present a cost framework for evaluating an NLP model's utility for this use
case and apply it to a single brand as a case study in the context of an
existing agent assistance product. We compare three strategies for specializing
an LLM - prompt engineering, fine-tuning, and knowledge distillation - using
feedback from the brand's customer service agents. We find that the usability
of a model's responses can make up for a large difference in inference cost for
our case study brand, and we extrapolate our findings to the broader enterprise
space.Comment: Paper to be published at the Association for Computational
Linguistics in the Industry Track 202
Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016
Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
BACKGROUND: Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI).
METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate.
FINDINGS: The highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9-78·6) for females and 72·0 years (68·8-75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0-49·5]) and for males was in Lesotho (41·5 years [39·0-44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97-6·48) for both sexes combined. Global HALE increased by 6·04 years (5·74-6·27) for males and 6·49 years (6·08-6·77) for females, whereas HALE at age 65 years increased by 1·78 years (1·61-1·93) for males and 1·96 years (1·69-2·13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2·3% [-5·9 to 0·9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16·1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally.
INTERPRETATION: At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs offset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention efforts, and development assistance for health, including financial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support.
FUNDING: Bill & Melinda Gates Foundation
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Disparities by Race in Pregnancy Care and Clinical Outcomes in Women With Multiple Sclerosis: A Diverse Multicenter Cohort.
BACKGROUND AND OBJECTIVES: Racial disparities exist in both neurologic and obstetric populations, underscoring the importance of evaluating pregnancy outcomes in diverse women with multiple sclerosis (MS). The objective of this multicenter retrospective study was to compare pregnancy care and outcomes between Black and Hispanic (underrepresented) and White women with MS. METHODS: Demographic and clinical data were extracted from medical records of 9 US MS centers for women with MS/clinically isolated syndrome who delivered live births between 2010 and 2021. Sites identified at last 15 consecutive Black/Hispanic women and a matching number of White women. Socioeconomic factors, pregnancy, and MS care/outcomes were compared between groups (underrepresented and White and then Black and Hispanic) using Wilcoxon rank sum (U statistic and effect size r reported), χ2, t tests and logistic regressions as appropriate to data type. Multiple imputation by chained equation was used to account for missing data. RESULTS: Overall, 294 pregnancies resulting in live births were analyzed ( 81 Black, 67 Hispanic, and 146 White mothers). Relative to underrepresented women, White women lived in areas of higher median (interquartile range [IQR]) Child Opportunity Index (79 [45.8] vs 22 [45.8], U = 3,824, r = 0.56, p < 0.0001) and were more often employed (84.9% vs 75%, odds ratio [OR] 2.57, CI 1.46-4.50, p = 0.0008) and privately insured (93.8% vs 56.8%, OR 11.6, CI 5.5-24.5, p < 0.0001) and more received a 14-week ultrasound (98.6% vs 93.9%, OR 4.66, CI 0.99-21.96, p = 0.027). Mode of delivery was significantly different between the three groups (X2(10,294) = 20.38, p = 0.03); notably, Black women had the highest rates of emergency cesarean deliveries, and Hispanic women highest rates of uncomplicated vaginal deliveries. Babies born to underrepresented women had lower median (IQR) birthweights than babies born to White women (3,198 g [435.3 g] vs 3,275 g [412.5 g], U = 9,255, r = 0.12, p = 0.04) and shorter median (IQR) breastfeeding duration (4.5 [3.3] vs 6.0 [4.2] months, U = 8,184, r = 0.21, p = 0.003). While underrepresented women were younger than White women (mean [SD] 30.9 [4.8] vs 33.8 [4.0], t = 1.97, CI 1.96-3.98, p < 0.0001), their median (Q1-Q3, IQR) Expanded Disability Status Scale was higher (1.5 [1-2.5, 1.5] vs 1 [0-1.5, 1.5], U = 7,260, r = 0.29, p < 0.0001) before pregnancy. Finally, medical records were missing more key data for Black women (19.7% missing vs 8.9% missing, OR 2.54, CI 1.25-5.06, p = 0.008). DISCUSSION: In this geographically diverse multicenter cohort, underrepresented women entered pregnancy with higher disability and fewer health care resources. Pregnancy represents a pivotal window where structural factors affect maternal and fetal health and neurologic trajectories; it is a critical period to optimize care and health outcomes