Risk factors related balance disorder for patients with dizziness/vertigo

Abstract Background When dizziness/vertigo patients presented with balance disorder, it will bring severe morbidity. There is currently lack of research to explore risk factor related balance disorder in dizziness patients, especially in those who walk independently. Aim To investigate risk factors related balance disorder in dizziness/vertigo patients who walk independently. Methods Medical data of 1002 dizziness/vertigo patients registered in vertigo/balance disorder registration database were reviewed. The demographic data, medical history, and risk factors for atherosclerosis (AS) were collected. Enrolled dizziness/vertigo patients could walk independently, completed Romberg test, videonystagmography (VNG), and limits of stability (LOS). The subjective imbalance was patient complained of postural symptom when performing Romberg test. Multivariable logistic regression analyzed risk factors related balance disorder. The receiver operating characteristic (ROC) curve evaluated the utility of regression model. Results Five hundred fifty-three dizziness/vertigo patients who walk independently were included in the final analysis. According to LOS, patients were divided into 334 (60%) normal balance and 219 (40%) balance disorder. Compared with normal balance, patients with balance disorder were older (P = 0.045) and had more risk factors for AS (P<0.0001). The regression showed that risk factors for AS (OR 1.494, 95% CI 1.198–1.863), subjective imbalance (OR 4.835, 95% CI 3.047–7.673), and abnormality of optokinetic nystagmus (OR 8.308, 95% CI 1.576–43.789) were related to balance disorder. The sensitivity and specificity of model were 71 and 63% (P<0.0001). The area under the curve (AUC) was 0.721. Conclusions Risk factors for AS, subjective imbalance, and abnormality of optokinetic nystagmus were predictors for balance disorder in patients with dizziness/vertigo who walk independently.

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Risk Factors Related Balance Disorder for Patients With Dizziness/Vertigo

10.21203/rs.3.rs-116637/v1 ◽

2020 ◽

Author(s):

Zhentang Cao ◽

Cuiting Zhu ◽

Yanan Zhou ◽

Yan Wang ◽

Meimei Chen ◽

...

Keyword(s):

Risk Factors ◽

Operating Characteristic ◽

Optokinetic Nystagmus ◽

Demographic Data ◽

Area Under The Curve ◽

Final Analysis ◽

Limits Of Stability ◽

Eyes Open ◽

Balance Disorder ◽

Romberg Test

Abstract Background: When dizziness/vertigo patients presented with balance disorder, it will bring severe morbidity. There is currently lack of research to explore risk factor related balance disorder in dizziness patients, especially in those who walk independently.Aim: To investigate risk factors related balance disorder in dizziness/vertigo patients who walk independently.Methods: Medical data of 1002 dizziness/vertigo patients registered in vertigo/balance disorder registration database were reviewed. The demographic data, medical history, and risk factors for atherosclerosis (AS) were collected. Enrolled dizziness/vertigo patients could walk independently, completed Romberg test, videonystagmography (VNG), and limits of stability (LOS). The subjective imbalance was patient complained of postural symptom when performing Romberg test (whether eyes open or close). Multivariable logistic regression analyzed risk factors related balance disorder. The receiver operating characteristic (ROC) curve evaluated the utility of regression model.Results: 553 dizziness/vertigo patients who walk independently were included in the final analysis. According to LOS, patients were divided into 334 (60%) normal balance and 219 (40%) balance disorder. Compared with normal balance, patients with balance disorder were older (P=0.045) and had more risk factors for AS (P＜0.0001). The regression showed that risk factors for AS (OR 1.494, 95% CI 1.198-1.863), subjective imbalance (OR 4.835, 95% CI 3.047-7.673), and abnormality of optokinetic nystagmus (OR 8.308, 95% CI 1.576-43.789) were related to balance disorder. The sensitivity and specificity of model were 71% and 63% (P＜0.0001). The area under the curve (AUC) was 0.721.Conclusions: Risk factors for AS, subjective imbalance, and abnormality of optokinetic nystagmus were predictors for balance disorder in patients with dizziness/vertigo who walk independently.

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Prediction of anemia at delivery

Scientific Reports ◽

10.1038/s41598-021-85622-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Enav Yefet ◽

Avishag Yossef ◽

Zohar Nachum

Keyword(s):

Risk Factors ◽

Operating Characteristic ◽

Complete Blood Count ◽

Characteristic Curve ◽

Secondary Analysis ◽

Area Under The Curve ◽

Iron Supplement ◽

Independent Risk Factors ◽

Operating Characteristic Curve ◽

Study Database

AbstractWe aimed to assess risk factors for anemia at delivery by conducting a secondary analysis of a prospective cohort study database including 1527 women who delivered vaginally ≥ 36 gestational weeks. Anemia (Hemoglobin (Hb) < 10.5 g/dL) was assessed at delivery. A complete blood count results during pregnancy as well as maternal and obstetrical characteristics were collected. The primary endpoint was to determine the Hb cutoff between 24 and 30 gestational weeks that is predictive of anemia at delivery by using the area under the curve (AUC) of the receiver operating characteristic curve. Independent risk factors for anemia at delivery were assessed using stepwise multivariable logistic regression. Hb and infrequent iron supplement treatment were independent risk factors for anemia at delivery (OR 0.3 95%CI [0.2–0.4] and OR 2.4 95%CI [1.2–4.8], respectively; C statistics 83%). Hb 10.6 g/dL was an accurate cutoff to predict anemia at delivery (AUC 80% 95%CI 75–84%; sensitivity 75% and specificity 74%). Iron supplement was beneficial to prevent anemia regardless of Hb value. Altogether, Hb should be routinely tested between 24 and 30 gestational weeks to screen for anemia. A flow chart for anemia screening and treatment during pregnancy is proposed in the manuscript.Trial registration: ClinicalTrials.gov Identifier: NCT02434653.

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Violence among female stalkers

Psychological Medicine ◽

10.1017/s0033291711001498 ◽

2011 ◽

Vol 42 (3) ◽

pp. 545-555 ◽

Cited By ~ 23

Author(s):

S. Strand ◽

T. E. McEwan

Keyword(s):

Risk Factors ◽

Gender Difference ◽

Operating Characteristic ◽

Psychotic Disorders ◽

Area Under The Curve ◽

Roc Curves ◽

Psychotic Symptoms ◽

Initial Support ◽

Women Violence ◽

Similar Risk

BackgroundFemale stalkers account for 10–25% of all stalking cases, yet little is known about risk factors for female stalking violence. This study identifies risk factors for female stalking violence and contrasts these with risk factors for male stalking violence.MethodSeventy-one female and 479 male stalkers presenting to police in Sweden and a specialist stalking clinic in Australia were investigated. Univariate comparisons of behaviour by gender, and comparisons between violent and non-violent female stalkers, were undertaken. Logistic regression was then used to develop a predictive model for stalking violence based on demographic, offence and clinical characteristics.ResultsRates of violence were not significantly different between genders (31% of males and 23% of females). For both men and women, violence was associated with a combination of a prior intimate relationship with the victim, threats and approach behaviour. This model produced receiver operating characteristic (ROC) curves with area under the curve (AUC)=0.80 for female stalkers and AUC=0.78 for male stalkers. The most notable gender difference was significantly higher rates of personality disorder among women. High rates of psychotic disorder were found in both genders. Stalking violence was directly related to psychotic symptoms for a small number of women.ConclusionsSimilar risk factors generally predict stalking violence between genders, providing initial support for a similar approach to risk assessment for all stalkers. The most notable gender difference was the prevalence of personality and psychotic disorders among female stalkers, supporting an argument for routine psychiatric assessment of women charged with stalking.

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Association Between Serum Procalcitonin Levels and Disseminated Intravascular Coagulation in Patients With Septic Shock

10.21203/rs.3.rs-136390/v1 ◽

2021 ◽

Author(s):

Guang Fu ◽

Xi-si He ◽

Xiao-peng Cao ◽

Hao-li Li ◽

Hai-chao Zhan ◽

...

Keyword(s):

Risk Factors ◽

Intensive Care Unit ◽

Septic Shock ◽

Electronic Medical Records ◽

Disseminated Intravascular Coagulation ◽

Medical Records ◽

Operating Characteristic ◽

Early Stage ◽

Area Under The Curve ◽

Intravascular Coagulation

Abstract Objectives: To investigated the relationships between procalcitonin (PCT) and disseminated intravascular coagulation (DIC) during septic shock. Methods: A retrospective study was performed, which included septic shock patients admitted into intensive care unit (ICU) from January 1, 2015 to December 31, 2018. DIC was defined as international society of thrombosis and homeostasis criteria (ISTH≥5). PCT was based on the first value after admission into ICU and the routine biochemical coagulation data based on the worst value extracted from electronic medical records within 24 hours on admission into ICU.Results: Among 2156 patients screened, 164 patients with septic shock were included in the finally analysis and 35.4% (58/164) of whom developed DIC after admission. PCT level was significantly higher in septic shock patients who developed DIC than those who did not (54.6[13.6-200] vs12.6[2.4-53.3] ng/ml, P <0.001). Multivariable logistic regression revealed that PCT (OR=1.011, 95% CI 1.006- 1.016, P<0.001) was associated with DIC during septic shock. Curve fitting showed a positive correlation between PCT and DIC. The Receiver Operating characteristic (ROC) curve suggested that the cut-off point for PCT to predict DIC during septic shock was 42.1ng/ml, with sensitivity 60.34%, specificity72.74% and the area under the curve (AUC) 0.701(95% CI [0.619-0.784], P<0.001). Interestingly, PCT increased early detection of DIC during septic shock compared with other risk factors(P=0.012)Conclusions: Our data suggest that PCT level over 42.1ng/ml on admission is associated with DIC during septic shock, and PCT is a potential predictive factor of DIC induced by septic shock at early stage.

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Defining Accelerometer Thresholds for Physical Activity in Girls Using ROC Analysis

Journal of Physical Activity and Health ◽

10.1123/jpah.7.1.45 ◽

2010 ◽

Vol 7 (1) ◽

pp. 45-53 ◽

Cited By ~ 10

Author(s):

Sofiya Alhassan ◽

Thomas N. Robinson

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Roc Analysis ◽

Operating Characteristic ◽

Risk Measures ◽

Area Under The Curve ◽

Screening Tests ◽

Cvd Risk Factors ◽

Cvd Risk ◽

Using Data

Background:Receiver operating characteristic (ROC) analysis is a common method used in diagnostic and screening tests to define thresholds levels of a factor that discriminates between 2 levels of another factor. The purpose of this analysis was to use ROC analysis to determine the optimal accelerometer-measured physical activity (PA) thresholds for predicting selective cardiovascular disease (CVD) risk factors.Methods:ROC was performed using data from Stanford Girls Health Enrichment Multisite Studies trial. PA was assessed for multiple days using accelerometers. CVD variables were overweight, elevated triglyceride, reduced HDL-C, hypertension, impaired fasting glucose, fasting insulin, and clustering of multiple CVD risk factors.Results:A sample of 261 girls participated, of which 208 had complete CVD risk measures (mean ± SD age = 9.4 ± 0.9yrs, BMI = 20.7 ± 4.8kg/m2). An average of ≥11.1 minutes/day at ≥2,600 counts/min was the maximally sensitive and specific threshold for discriminating girls who were overweight, ≥16.6 minutes/day at ≥2,000 counts/min for hyperinsulinemia or with ≥2 CVD risk factors. The Area Under the Curve for overweight, hyperinsulinemia, and ≥2 CVD risk factors was of 0.66, 0.58, and 0.60, respectively. The sensitivity and specificity associated with overweight, hyperinsulinemia, and ≥2 CVD risk factors were 60.3% and 72.9%, 53.3% and 83.9%, 44.0% and 84.7%, respectively.Conclusion:Empirically-derived thresholds of PA to optimally discriminate between girls with and without CVD risk were lower in this sample than generally recommended. This ROC approach should be repeated in other populations to determine optimal PA thresholds with clinical validity for research, surveillance and program evaluation.

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Multivariate model for the assessment of risk of fetal loss in goat herds

Polish Journal of Veterinary Sciences ◽

10.2478/v10181-011-0116-6 ◽

2012 ◽

Vol 15 (1) ◽

pp. 67-75

Author(s):

M. Czopowicz ◽

J. Kaba ◽

O. Szaluś-Jordanow ◽

M. Nowicki ◽

L. Witkowski ◽

...

Keyword(s):

Risk Factors ◽

Neospora Caninum ◽

Fetal Loss ◽

Area Under The Curve ◽

Final Analysis ◽

Multivariate Model ◽

Frequent Occurrence ◽

Face To Face ◽

Study Population ◽

The Relationship

Multivariate model for the assessment of risk of fetal loss in goat herds The observational study was carried out in a population of Polish breeding goats in 2007 to determine the prevalence of fetal loss and identify risk factors contributing to its occurrence. The multivariate model allowing to predict the risk of the occurrence of fetal loss in a herd in a study population was developed. Data on the occurrence of fetal loss, as well as of 28 hypothesized risk factors were collected from goat owners using standardized questionnaire during face-to-face reviews on farms. Moreover, data on the herd-level seroprevalence of four abortifacient infections - Chlamydophila abortus, Leptospira spp., BVDV-1 and Neospora caninum - were included in the final analysis. Fetal loss was reported as occurring often in 12 of 49 goat herds (24.5%). The relationship between the hypothesized risk factors and the occurrence of fetal loss was verified in the multivariate logistic regression (α=0.05). Final analysis yielded four risk factors: regular veterinary supervision at least twice a year (OR 0.188; CI 95% 0.054 - 0.656), frequent occurrence of injuries and fractures (OR 3.172; CI 95% 1.081 - 9.310), frequent occurrence of respiratory signs in adult goats (OR 4.848; CI 95% 1.353 - 17.377) and presence of antibodies to C. abortus in a herd (OR 58.116; CI 95% 1.369 - 2466.438). The accuracy of the multivariate model was analyzed using receiver operating characteristic (ROC) curve technique. Area under the curve was 0.895 (CI 95% 0.801-0.981). For optimal cut-off value of 0.20-0.35 the multivariate model had sensitivity of 75.00% and specificity of 89.19% in predicting fetal loss in a herd.

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Violence in stalking situations

Psychological Medicine ◽

10.1017/s0033291708004996 ◽

2009 ◽

Vol 39 (9) ◽

pp. 1469-1478 ◽

Cited By ~ 52

Author(s):

T. E. McEwan ◽

P. E. Mullen ◽

R. D. MacKenzie ◽

J. R. P. Ogloff

Keyword(s):

Risk Factors ◽

Potential Risk ◽

Operating Characteristic ◽

Area Under The Curve ◽

Relationship Type ◽

Logistic Regression Models ◽

Receiver Operating Characteristic Curves ◽

Increased Risk ◽

Different Types ◽

Potential Risk Factors

BackgroundStalking is often viewed as a precursor to violence, but determining which stalkers might attack is a difficult task. This study overcomes shortfalls in previous investigations by adopting a pseudo-prospective design and examining potential risk factors for different types of stalker.MethodDemographic, behavioural and diagnostic information was collected from stalkers referred to a community forensic mental health service (n=211). Potential risk factors for stalking violence were identified using odds ratios and χ2 tests, and entered into logistic regression models. Model utility was assessed using receiver operating characteristic curves.ResultsAmongst Rejected ex-intimate stalkers, violence was best predicted by previous violence, making threats and being employed (area under the curve=0.75), while for stalkers with other motives and relationships to the victim, being aged less than 30 years, substance use at the time of stalking and prior violence best predicted stalking violence (area under the curve=0.80).ConclusionsStalkers at increased risk of violence can be accurately identified by examining motivational and relationship type in conjunction with specific relevant risk factors. Previous violence is a particularly important risk factor, as are threats amongst ex-intimate stalkers. Approach behaviours and psychosis were shown to be less useful in predicting violence.

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Risk factors for falls in multiple sclerosis: an observational study

Multiple Sclerosis Journal ◽

10.1177/1352458513488233 ◽

2013 ◽

Vol 19 (14) ◽

pp. 1913-1922 ◽

Cited By ~ 81

Author(s):

Hilary Gunn ◽

Siobhan Creanor ◽

Bernhard Haas ◽

Jonathan Marsden ◽

Jennifer Freeman

Keyword(s):

Risk Factors ◽

Multiple Sclerosis ◽

Rating Scale ◽

Demographic Data ◽

Predictive Ability ◽

Final Analysis ◽

C Statistic ◽

Increased Risk ◽

And Performance ◽

Risk Factors For Falls

Background: People with multiple sclerosis (MS) experience frequent falls, which are associated with impairments and limitations to activities and participations. Objective: The objective of this paper is to evaluate falls risk factors using robust clinical measures. Methods: A total of 150 individuals (confirmed MS diagnosis, Expanded Disability Status Scale (EDSS) 3.5–6.5) were recruited, with 148 participants included in the final analysis. Demographic data were collected and performance assessed in eight predictor measures (Physiological Profile Assessment (PPA), Brief Ataxia Rating scale, Ashworth scale (Ashworth), Modified Falls Efficacy scale, Symbol Digit Modalities Test, dual-task interference, lying/standing blood pressure, static/dynamic visual acuity). Participants prospectively recorded falls over three months using a daily diary. People were classified as “fallers” based on reports of ≥ two falls. Results: A total of 104 participants recorded 672 falls; 78 (52.7%) reported ≥ two falls. Continence issues, previous falls history and use of prescribed medications were each associated with increased risk of being a “faller”. Ashworth and PPA risk score contributed significantly to a logistic regression model predicting faller/non-faller classification. The reduced model (Ashworth, PPA, EDSS) showed fair-to-good predictive ability (ROC c-statistic 0.73, sensitivity 70%, specificity 69%). Conclusion: This study confirms the high prevalence of falls in ambulant people with MS. Important potentially modifiable risk factors are identified, suggesting aspects to target in falls interventions.

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Ten-Year Review of Candidemia in a Canadian Tertiary Care Centre: Predominance of Non-albicans CandidaSpecies

Canadian Journal of Infectious Diseases and Medical Microbiology ◽

10.1155/2013/929717 ◽

2013 ◽

Vol 24 (3) ◽

pp. e65-e68 ◽

Cited By ~ 12

Author(s):

Ghada N Al-Rawahi ◽

Diane L Roscoe

Keyword(s):

Risk Factors ◽

Demographic Data ◽

Tertiary Care ◽

Retrospective Chart Review ◽

Final Analysis ◽

Antibiotic Use ◽

Care Centre ◽

Tertiary Care Centre ◽

Medical Diagnoses ◽

Associated Risk Factors

OBJECTIVE: To review the epidemiology and associated risk factors for candidemia at a tertiary care centre, in view of recent reports on the changing epidemiology of bloodstream infection due toCandidaspecies.METHODS: Between January 2000 and December 2009, patients with blood culture samples positive forCandidaspecies were identified using the microbiology laboratory information system. Patient data were collected by retrospective chart review of clinical characteristics including demographic data, underlying medical diagnoses and risk factors.RESULTS: A total of 266 candidemia episodes were included in the final analysis. Fifty-nine per cent of these episodes occurred in males and 51% were in patients >60 years of age. The most common risk factor for candidemia was previous antibiotic use (85%). The most frequent species wasCandida albicans(49%), followed byCandida glabrata(30%).C albicanswas the predominant species in all study years with the exception of 2002, in whichC glabratawas more frequent. The likelihood of recovering a non-albicans Candidaspecies was found to be significantly associated with previous antifungal therapy (P=0.0004), immunosuppressive therapy (P=0.002), abdominal surgery (P=0.003) and malignancy (P=0.05). Mixed candidemia was found in 10 episodes (4%); 80% grewC albicansandC glabrata. Risk factors for mixed candidemia were not significantly different from those with monomicrobial candidemia.CONCLUSION:C albicansremains the most commonly isolated species in this setting, consistent with findings from other Canadian centres. However, non-albicans Candidaspecies were overall predominant. Mixed-species candidemia does not appear to be more prevalent in patients with identified risk factors.

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Thyroidopathy and Age-Related Macular Degeneration: Is There Any Correlation

Biomedicine Hub ◽

10.1159/000454706 ◽

2017 ◽

Vol 2 (1) ◽

pp. 1-3 ◽

Cited By ~ 3

Author(s):

Irini Chatziralli ◽

Panagiotis G. Mitropoulos ◽

Dimitrios Niakas ◽

Georgios Labiris

Keyword(s):

Risk Factors ◽

Macular Degeneration ◽

Potential Risk ◽

Demographic Data ◽

Medical Data ◽

Age Related Macular Degeneration ◽

Age Related ◽

Significant Difference ◽

Potential Risk Factors ◽

Walking Exercise

Purpose: The purpose of this study was to evaluate whether inherent sociodemographic parameters, lifestyle features, as well as medical data may be potential risk factors for the presence of age-related macular degeneration (AMD). Methods: Participants in our study were 114 patients with AMD, 63 males and 51 females, and 100 control subjects without any ocular disease. Demographic data, lifestyle data, medical history, and comorbidities were recorded and analyzed as potential risk factors for the presence of AMD. Results: There was no statistically significant difference between patients and controls regarding age, gender, smoking, alcohol consumption, walking, exercise, presence of hypertension, diabetes mellitus, myoskeletal problems, migraine, and cancer. Marital status, higher educational level, cardiovascular disorders, and thyroidopathy were found to be significantly associated with AMD. Conclusions: Apart from already reported risk factors for AMD, thyroidopathy was associated with AMD.

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