https://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(02)08336-8.pdf

Health consequences of intimate partner violence.

Socioeconomic status (SES) is consistently associated with health outcomes, yet little is known about the psychosocial and behavioral mechanisms that might explain this association. Researchers usually control for SES rather than examine it. When it is studied, only effects of lower, poverty-level SES are generally examined. However, there is evidence of a graded association with health at all levels of SES, an observation that requires new thought about domains through which SES may exert its health effects. Variables are highlighted that show a graded relationship with both SES and health to provide examples of possible pathways between SES and health end points. Examples are also given of new analytic approaches that can better illuminate the complexities of the SES-health gradient.

Socioeconomic status and health: The challenge of the gradient.

Purpose—The aim of this guideline is to present current and comprehensive recommendations for the diagnosis and treatment of aneurysmal subarachnoid hemorrhage (aSAH). Methods—A formal literature s...

Guidelines for the Management of Aneurysmal Subarachnoid Hemorrhage A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association

ContextEvaluation of trends in organ dysfunction in critically ill patients
may help predict outcome.ObjectiveTo determine the usefulness of repeated measurement the Sequential Organ
Failure Assessment (SOFA) score for prediction of mortality in intensive care
unit (ICU) patients.DesignProspective, observational cohort study conducted from April 1 to July
31, 1999.SettingA 31-bed medicosurgical ICU at a university hospital in Belgium.PatientsThree hundred fifty-two consecutive patients (mean age, 59 years) admitted
to the ICU for more than 24 hours for whom the SOFA score was calculated on
admission and every 48 hours until discharge.Main Outcome MeasuresInitial SOFA score (0-24), Δ-SOFA scores (differences between
subsequent scores), and the highest and mean SOFA scores obtained during the
ICU stay and their correlations with mortality.ResultsThe initial, highest, and mean SOFA scores correlated well with mortality.
Initial and highest scores of more than 11 or mean scores of more than 5 corresponded
to mortality of more than 80%. The predictive value of the mean score was
independent of the length of ICU stay. In univariate analysis, mean and highest
SOFA scores had the strongest correlation with mortality, followed by Δ-SOFA
and initial SOFA scores. The area under the receiver operating characteristic
curve was largest for highest scores (0.90; SE, 0.02; P<.001 vs initial score). When analyzing trends in the SOFA score
during the first 96 hours, regardless of the initial score, the mortality
rate was at least 50% when the score increased, 27% to 35% when it remained
unchanged, and less than 27% when it decreased. Differences in mortality were
better predicted in the first 48 hours than in the subsequent 48 hours. There
was no significant difference in the length of stay among these groups. Except
for initial scores of more than 11 (mortality rate >90%), a decreasing score
during the first 48 hours was associated with a mortality rate of less than
6%, while an unchanged or increasing score was associated with a mortality
rate of 37% when the initial score was 2 to 7 and 60% when the initial score
was 8 to 11.ConclusionsSequential assessment of organ dysfunction during the first few days
of ICU admission is a good indicator of prognosis. Both the mean and highest
SOFA scores are particularly useful predictors of outcome. Independent of
the initial score, an increase in SOFA score during the first 48 hours in
the ICU predicts a mortality rate of at least 50%.

https://jamanetwork.com/journals/jama/articlepdf/194262/JCE00056.pdf

Serial evaluation of the SOFA score to predict outcome in critically ill patients.

Objective: To determine the influence of type 2 diabetes mellitus on the risk of dementia and AD. Background: Both dementia and diabetes are frequent disorders in elderly people. Methods: Prospective population-based cohort study among 6,370 elderly subjects. At baseline study participants were examined for presence of diabetes mellitus. Nondemented participants were followed up, on average, for 2.1 years. Incident dementia was diagnosed using a three-step screening and comprehensive diagnostic workup. To complete the follow-up, medical files were studied of persons who could not be reexamined. We estimated relative risks with proportional hazard regression, adjusting for age, sex, and possible confounders. Results: During the follow-up, 126 patients became demented, of whom 89 had AD. Diabetes mellitus almost doubled the risk of dementia (relative risk [RR] 1.9 [1.3 to 2.8]) and AD (RR 1.9 [1.2 to 3.1]). Patients treated with insulin were at highest risk of dementia (RR 4.3 [1.7 to 10.5]). Conclusion: The diabetes attributable risk for dementia of 8.8% suggests that diabetes may have contributed to the clinical syndrome in a substantial proportion of all dementia patients.

Diabetes mellitus and the risk of dementia The Rotterdam Study

Of 2,712 Board certified orthopedic surgeons selected from the directory of the American Academy of Orthopaedic Surgery, 1,683 (621%) responded to a mailed questionnaire concerning their preferred treatment for osteoarthritis of the hip in a specified active 53-year-old man A Muller total hip arthroplasty was the most frequently performed operation in 1973; only 23 per cent of the respondents considered osteotomy the preferred treatment

Osteoarthritis of the hip. A survey of treatment.

/pdf/preventing-low-back-pain-in-industry-reply-13i9azlgtk.pdf

Preventing low back pain in industry - Reply

Multiple Organ Failure After Trauma: By the Time You Predict It, It's Already There!

The arrival of a new type of high-performance racing design motorcycle coincided with an unusually large increase in fatal motorcycle crashes in California from 1983 to 1986. This report compares driver, vehicle, and crash characteristics among crashes involving motorcycles of different designs using California crash data for 1985. No systematic evidence that injury crashes involving racing and street design motorcycles differed by time, day, or location of occurence was found, and motorcycles did not appear to have different exposure miles by either design type.

Features of fatal- and severe-injury motorcycle crashes according to vehicle design type, california 1985

A nested case-control study of oxytocin and sudden infant death syndrome

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Jess F. Kraus

Author Tools

Chat about Author