Abstract 255: Analysis of Out-of-Hospital Cardiac Arrest in Infants, Children and Adolescents in the Kyushu Area in Japan by Locally Obtained Data

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Masao Yoshinaga ◽  
Shiro Ishikawa ◽  
Masanori Shida ◽  
Kiyomi Hoshiko ◽  
Shunichi Mochinaga ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cardiac Arrest ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Pediatric Population ◽  
The Elderly ◽  
Sudden Infant ◽  
Screening Programs ◽  
Hospital Cardiac Arrest ◽  
At Home

Background: The Fire and Disaster Management Agency of Japan launched a population-based cohort study of patients suffering from OHCA in 2005. However, more detailed data on each OHCA case may be required to determine any confounders present in each area to prevent locally occurring OHCA. Methods and Results: The Council for School-Based Screening Programs of the Kyushu Medical Associations started to obtain data of each case of out-of-hospital cardiac arrest (OHCA) <20 years of age from school boards, school physicians, and local fire departments in the Kyushu area in 2012 using a questionnaire. The questionnaire asked information used in the Utstein form and more detailed situations about OHCA cases. In logistic regression analysis, age, sex, the location of OHCA (at home or not at home), the timing of OHCA (during sleep or not during sleep), the presence of resuscitation, and the use of an AED were used as dependent variables. Sixty-seven cases of OHCA were obtained in 2002 and 2003. The prevalence of OHCA in each Prefecture corresponded to 0.29 to 4.17 per 100,000 subjects (Okamoto et al. Circ J, 2013), indicating that less than half of the annual cases in Kyushu area were obtained. Of 67 cases of OHCA, 20, 7, 13, and 27 cases occurred in those aged 0, 1-5, 6-12, and 13-18 years, respectively. Of 40 cases of OHCA that occurred at home, 37 (93%) were fatal. Among 20 infant cases, 16 (80%) occurred during sleeping. Of 27 young adolescent cases, 5 were found dead in the bath. In logistic regression analysis, OHCA occurring at home was a sole predictive factor for death (p=0.000, 95% confidence interval: 4.4-73.1). Conclusions: To improve the prevalence and outcome of OHCA cases in the pediatric population, information on resuscitation should be provided to parents. New strategies for sudden infant death during sleeping should be examined, such as electrocardiographic screening at 1 month old (Schwartz PJ, et al. Circulation, 2009: Yoshinaga M, et al. Circ Arrhythm Electrophysiol, 2013). Bathing is at high risk of OHCA, not only in the elderly population, but also in the young population.

scholarly journals Cross-Sectional Association between Hypercholesterolemia and Knee Pain in the Elderly with Radiographic Knee Osteoarthritis: Data from the Korean National Health and Nutritional Examination Survey

2021 ◽  
Vol 10 (5) ◽  
pp. 933
Author(s):  
Byung Woo Cho ◽  
Du Seong Kim ◽  
Hyuck Min Kwon ◽  
Ick Hwan Yang ◽  
Woo-Suk Lee ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Knee Pain ◽  
Logistic Regression Analysis ◽  
National Health ◽  
Large Scale ◽  
Metabolic Diseases ◽  
The Elderly ◽  
Cross Sectional ◽  
Ordinal Logistic Regression Analysis

Few studies have reported the relationship between knee pain and hypercholesterolemia in the elderly population with osteoarthritis (OA), independent of other variables. The aim of this study was to reveal the association between knee pain and metabolic diseases including hypercholesterolemia using a large-scale cohort. A cross-sectional study was conducted using data from the Korea National Health and the Nutrition Examination Survey (KNHANES-V, VI-1; 2010–2013). Among the subjects aged ≥60 years, 7438 subjects (weighted number estimate = 35,524,307) who replied knee pain item and performed the simple radiographs of knee were enrolled. Using multivariable ordinal logistic regression analysis, variables affecting knee pain were identified, and the odds ratio (OR) was calculated. Of the 35,524,307 subjects, 10,630,836 (29.9%) subjects experienced knee pain. Overall, 20,290,421 subjects (56.3%) had radiographic OA, and 8,119,372 (40.0%) of them complained of knee pain. Multivariable ordinal logistic regression analysis showed that among the metabolic diseases, only hypercholesterolemia was positively correlated with knee pain in the OA group (OR 1.24; 95% Confidence Interval 1.02–1.52, p = 0.033). There were no metabolic diseases correlated with knee pain in the non-OA group. This large-scale study revealed that in the elderly, hypercholesterolemia was positively associated with knee pain independent of body mass index and other metabolic diseases in the OA group, but not in the non-OA group. These results will help in understanding the nature of arthritic pain, and may support the need for exploring the longitudinal associations.

scholarly journals Spondyloarthritis in a Pediatric Population: Risk Factors for Sacroiliitis

2010 ◽  
Vol 37 (11) ◽  
pp. 2402-2408 ◽  
Author(s):  
MATTHEW L. STOLL ◽  
RAFIA BHORE ◽  
MOLLY DEMPSEY-ROBERTSON ◽  
MARILYNN PUNARO
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Physical Examination ◽  
Logistic Regression Analysis ◽  
Pediatric Population ◽  
Hip Arthritis ◽  
Magnetic Resonance Imaging Mri ◽  
Juvenile Spondyloarthritis ◽  
Texas Scottish Rite Hospital

Objective.Pediatric rheumatologists may have an opportunity to diagnose sacroiliitis in its early stages, prior to the development of irreversible radiographic changes. Early diagnosis frequently requires magnetic resonance imaging (MRI), the use of which is limited by expense and requirement for sedation. We set out to identify features of juvenile spondyloarthritis (SpA) associated with the highest risk of sacroiliitis, to identify patients who may be candidates for routine MRI-based screening.Methods.We reviewed the charts of 143 children seen at Texas Scottish Rite Hospital for Children diagnosed with SpA based on the International League of Associations for Rheumatology criteria for enthesitis-related arthritis or the Amor criteria for SpA. We performed logistic regression analysis to identify risk factors for sacroiliitis.Results.A group of 143 children were diagnosed with SpA. Consistent with the diagnosis of SpA, 16% had psoriasis, 43% had enthesitis, 9.8% had acute anterior uveitis, and 70% were HLA-B27+. Fifty-three children had sacroiliitis, of which 11 cases were identified by imaging studies in the absence of suggestive symptoms or physical examination findings. Logistic regression analysis revealed that hip arthritis was a positive predictor of sacroiliitis, while dactylitis was a negative predictor.Conclusion.Children with SpA are at risk for sacroiliitis, which may be present in the absence of suggestive symptoms or physical examination findings. The major risk factor for sacroiliitis is hip arthritis, while dactylitis may be protective. Routine screening by MRI should be considered in patients at high risk of developing sacroiliitis.

Abstract 349: Target Temperature Management After Return of Spontaneous Circulation Did Not Ameliorate Mid-term (30 to 90-day) Neurological Improvement in Out-of-hospital Cardiac Arrest Patients

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Hiromichi Naito ◽  
Takashi Yorifuji ◽  
Tetsuya Yumoto ◽  
Tsuyoshi Nojima ◽  
Noritomo Fujisaki ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cardiac Arrest ◽  
Regression Analysis ◽  
Spontaneous Circulation ◽  
Temperature Management ◽  
Multivariable Logistic Regression Analysis ◽  
Return Of Spontaneous Circulation ◽  
Neurological Improvement ◽  
Hospital Cardiac Arrest

Introduction: Mid/long-term outcomes of out-of-hospital cardiac arrest (OHCA) survivors have not been extensively studied. Targeted temperature management (TTM) after return of spontaneous circulation is one known therapeutic approach to ameliorate short-term neurological improvement of OHCA patients; however, the prognostic significance of TTM in the mid/long-term clinical setting have not been defined. Hypothesis: TTM would confer additional improvement of OHCA patients’ mid-term neurological outcomes. Methods: Retrospective study using the Japanese Association for Acute Medicine OHCA Registry (Jun 2014 - Dec 2017): a nationwide multicenter registry. Patients who did not survive 30 days after OHCA, those with missing 30-day Cerebral Performance Category (CPC) scores, and those < 18 years old were excluded. Primary endpoint was alteration of neurological function evaluated with 30-day and 90-day CPC. Association between application of TTM (33-36°C) and mid-term CPC alteration was evaluated. Multivariable logistic regression analysis was used for the primary outcome; results are expressed with odds ratio (OR) and 95% confidence interval (CI). Results: We included 2,905 in the analysis. Patient characteristics were: age: 67 [57 - 78] years old, male gender: 70.8%, witnessed collapse: 81.4%, dispatcher instruction for CPR: 51.6%, initial shockable rhythm: 67.0%, and estimated cardiac origin: 76.5%. TTM was applied to 1,352/2,905 (46.5%) patients. Thirty-day CPC values in surviving patients were: CPC 1: 1,155/2,905 (39.8%), CPC 2: 321/2,905 (11.1%), CPC 3: 497/2,905 (17.1%), and CPC 4: 932/2,905 (32.1%), respectively. Ninety-day CPC values were: CPC 1: 866/1,868 (46.4%), CPC 2: 154/1,868 (8.2%), CPC 3: 224/1,868 (12.0%), CPC 4: 392/1,868 (20.1%), and CPC 5: 232/1,868 (12.4%), respectively. Of 1,636 patients with 90-day survival, 28 (1.7%) demonstrated improved CPC at 90 days, whereas, 133 (8.1%) showed worsened CPC at 90 days compared with 30-day CPC, respectively. Multivariable logistic regression analysis revealed TTM did not result in favorable mid-term neurological changes (adjusted OR: 1.44, 95% CI: 0.48 - 4.31). Conclusions: TTM may not contribute to the beneficial effect on OHCA patients’ mid-term neurological changes.

scholarly journals Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014

2019 ◽  
Vol 16 (16) ◽  
pp. 2847 ◽  
Author(s):  
Qilin Zhang ◽  
Yanli Wu ◽  
Tiankuo Han ◽  
Erpeng Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Binary Logistic Regression Analysis ◽  
Chinese Elderly

Background: The cognitive function of the elderly has become a focus of public health research. Little is known about the changes of cognitive function and the risk factors for cognitive impairment in the Chinese elderly; thus, the purposes of this study are as follows: (1) to describe changes in cognitive function in the Chinese elderly from 2005–2014 and (2) to explore risk factors for cognitive impairment of the Chinese elderly. Design and setting: A total of 2603 participants aged 64 years and above participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and were followed up from 2005 to 2014. Cognitive function and cognitive impairment were assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Binary logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence intervals (CI) of cognitive impairment. Results: Results revealed that the cognitive function of the Chinese elderly shows diversified changes: deterioration (55.09%), unchanged (17.21%) and improvement (27.70%). In addition, there are significant demographic differences in gender, age, education, marriage and other aspects when it comes to the changes of cognitive function in Chinese elderly. In the binary logistic regression analysis, female, increased age, lower education level, no spouse, less income, worse PWB (psychological well-being), less fresh fruit and vegetable intake, more activities of daily living (ADL) limitations, lower social engagement were significantly associated with higher odds for cognitive impairment. Conclusions: Various interventions should be implemented to maintain cognitive function in Chinese elderly.

5227Effects of witness status and time to cardiopulmonary resuscitation by emergency medical services on neurological outcomes in out-of-hospital cardiac arrest patients with non-shockable rhythm

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Funada ◽  
Y Goto ◽  
H Okada ◽  
T Maeda ◽  
M Takamura
Keyword(s):  
Logistic Regression ◽  
Cardiac Arrest ◽  
Regression Analysis ◽  
Cardiopulmonary Resuscitation ◽  
Multivariate Logistic Regression Analysis ◽  
Emergency Call ◽  
Multivariate Logistic Regression ◽  
Shockable Rhythm ◽  
Neurologically Intact ◽  
Hospital Cardiac Arrest

Abstract Background Data on the effects of witness status and time from an emergency call to initiation of cardiopulmonary resuscitation (CPR) by emergency medical service (EMS) providers on neurological outcome in out-of-hospital cardiac arrest (OHCA) patients with non-shockable rhythm according to the first documented rhythm are limited. Purpose We aimed to determine the effects of witness status and time from an emergency call to CPR initiation by EMS providers on neurologically intact survival in OHCA patients according to the type of non-shockable rhythm (pulseless electrical activity [PEA] and asystole). Methods We analysed the records of 583,431 adult OHCA patients with non-shockable rhythm (191,905 bystander-witnessed arrest and 391,526 unwitnessed arrest). Data were derived from the prospectively recorded All-Japan OHCA registry between 2011 and 2016. Call to EMS-CPR interval was defined as the time from an emergency call to CPR initiation by EMS providers. The primary outcome was 1-month neurologically intact survival (cerebral performance category 1 or 2; CPC 1–2) and secondary outcome was presence of PEA. Results The rates of 1-month CPC 1–2 were 1.21% (2,326/191,905) for bystander-witnessed arrest and 0.24% (959/391,526) for unwitnessed arrest. When divided into 4 groups based on witness status and initial documented rhythm, these rates were 2.42% (1,869/77,190) for bystander-witnessed arrest with PEA (group A), 0.40% (457/114,715) for bystander-witnessed arrest with asystole (group B), 1.51% (679/44,926) for unwitnessed arrest with PEA (group C) and 0.08% (280/346,600) for unwitnessed arrest with asystole (group D). Multivariate logistic regression analysis revealed each 1-min delay of Call to EMS-CPR interval to be significantly associated with decreased chances of 1-month CPC 1–2 for groups A, B and D (adjusted odds ratio [OR]: 0.95, 0.91 and 0.96, respectively; 95% confidence interval [CI]: 0.93–0.96, 0.88–0.94 and 0.93–0.99, respectively). However, for group C, there was no significant relationship between these variables (adjusted OR: 1.00; 95% CI: 0.98–1.02). The proportion of PEA was 40.2% (77,190/191,905) for bystander-witnessed arrest and 11.5% (44,926/391,526) for unwitnessed arrest. Multivariate logistic regression analysis revealed that, as Call to EMS-CPR interval lengthened (per 1-min delay), the number of OHCA patients with PEA decreased for bystander-witnessed arrest (adjusted OR: 0.94; 95% CI: 0.93–0.94) and for unwitnessed arrest (adjusted OR: 0.96; 95% CI: 0.96–0.97). Conclusions The 1-month CPC 1–2 rate differed by witness status and initial documented rhythm in OHCA patients with non-shockable rhythm. Shortening of Call to EMS-CPR interval is crucial for improving 1-month CPC 1–2 rate and sustaining PEA, particularly in bystander-witnessed arrest.

scholarly journals A study of correlations between metabolic syndrome factors and osteosarcopenic adiposity

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yu-Hsiang Su ◽  
Yu-Ming Chang ◽  
Chih-Ying Kung ◽  
Chiu-Kuei Sung ◽  
Wei-Shin Foo ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Health Management ◽  
Multinomial Logistic Regression ◽  
The Elderly ◽  
Simultaneous Occurrence ◽  
Multinomial Logistic Regression Analysis ◽  
Significant Difference

Abstract Background Aging reduces the quality and strength of bones and muscles and increases body fat, which can lead to the simultaneous occurrence of sarcopenia, osteopenia, and adiposity, a condition referred to as OsteoSarcopenic Adiposity (OSA). While previous studies have demonstrated that metabolic syndrome is associated with sarcopenia, osteopenia, and adiposity, the relationship between metabolic syndrome and OSA remains largely unknown. Methods We analyzed data for a sample of middle-aged individuals from a Health Management Center database, which was collected in 2016–2018. There are 2991 cases of people over 50 years from a physical examination center in a hospital in Taiwan during 2016–2018. In addition to descriptive statistics, chi-squared test, analysis of variance, and multinomial logistic regression analysis were conducted to examine OSA risk and associated factors. Results Based on multinomial logistic regression analysis, in different OSA severity level (1–3 more serious), those who are with metabolic syndrome has increased the 2.49–2.57 times risk of OSA (p < 0.001) in OSA = 2 and 3 groups while there is no significant difference in OSA =1 group. Conclusion The prevalence of OSA may impair the health and quality of life in the elderly group, especially those diagnosed with metabolic syndrome, increasing the risk of OSA. These results can help promote early diagnosis and treatment of OSA in clinical settings, particularly among aging individuals with abnormal physical function, the group with the highest OSA incidence.

scholarly journals Early prognostication of neurological outcome by heart rate variability in adult patients with out-of-hospital sudden cardiac arrest

Critical Care ◽  
2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Hiroshi Endoh ◽  
Natuo Kamimura ◽  
Hiroyuki Honda ◽  
Masakazu Nitta
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Logistic Regression ◽  
Cardiac Arrest ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Neurological Outcome ◽  
Sudden Cardiac Arrest ◽  
Poor Outcome ◽  
Hrv Analysis

Abstract Background Most deaths of comatose survivors of out-of-hospital sudden cardiac arrest result from withdrawal of life-sustaining treatment (WLST) decisions based on poor neurological prognostication and the family’s intention. Thus, accurate prognostication is crucial to avoid premature WLST decisions. However, targeted temperature management (TTM) with sedation or neuromuscular blockade against shivering significantly affects early prognostication. In this study, we investigated whether heart rate variability (HRV) analysis could prognosticate poor neurological outcome in comatose patients undergoing hypothermic TTM. Methods Between January 2015 and December 2017, adult patients with out-of-hospital sudden cardiac arrest, successfully resuscitated in the emergency department and admitted to the intensive care unit of the Niigata University in Japan, were prospectively included. All patients had an initial Glasgow Coma Scale motor score of 1 and received hypothermic TTM (at 34 °C). Twenty HRV-related variables (deceleration capacity; 4 time-, 3 geometric-, and 7 frequency-domain; and 5 complexity variables) were computed based on RR intervals between 0:00 and 8:00 am within 24 h after return of spontaneous circulation (ROSC). Based on Glasgow Outcome Scale (GOS) at 2 weeks after ROSC, patients were divided into good outcome (GOS 1–2) and poor outcome (GOS 3–5) groups. Results Seventy-six patients were recruited and allocated to the good (n = 22) or poor (n = 54) outcome groups. Of the 20 HRV-related variables, ln very-low frequency (ln VLF) power, detrended fluctuation analysis (DFA) (α1), and multiscale entropy (MSE) index significantly differed between the groups (p = 0.001), with a statistically significant odds ratio (OR) by univariate logistic regression analysis (p = 0.001). Multivariate logistic regression analysis of the 3 variables identified ln VLF power and DFA (α1) as significant predictors for poor outcome (OR = 0.436, p = 0.006 and OR = 0.709, p = 0.024, respectively). The area under the receiver operating characteristic curve for ln VLF power and DFA (α1) in predicting poor outcome was 0.84 and 0.82, respectively. In addition, the minimum value of ln VLF power or DFA (α1) for the good outcome group predicted poor outcome with sensitivity = 61% and specificity = 100%. Conclusions The present data indicate that HRV analysis could be useful for prognostication for comatose patients during hypothermic TTM.

scholarly journals Modifiable Risk Factor Possession Patterns of Dementia in Elderly with MCI: A 4-Year Repeated Measures Study

2020 ◽  
Vol 9 (4) ◽  
pp. 1076
Author(s):  
Osamu Katayama ◽  
Sangyoon Lee ◽  
Seongryu Bae ◽  
Keitaro Makino ◽  
Yohei Shinkai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Repeated Measures ◽  
Missing Values ◽  
The Elderly ◽  
Community Dwelling ◽  
Low Risk ◽  
Modifiable Risk Factors

This study clarified the patterns of possessing modifiable risk factors of dementia that can be corrected by the elderly who were primarily determined to have mild cognitive impairment (MCI), and then determined the relationship between retention patterns and outcomes from MCI through a 4-year follow-up study. The participants were 789 community-dwelling elders who were ≥65 years old with MCI at baseline. After 4 years, participants were classified into reverters and nonreverters, according to their cognitive function. Repeated measures analysis was performed after imputing missing values due to dropout. Nine modifiable risk factors at baseline were classified by latent class analysis. Subsequently, we performed binomial logistic regression analysis. The reversion rate of 789 participants was 30.9%. The possession patterns of modifiable risk factors among the elderly with MCI were classified into five patterns: low risk, psychosocial, health behavior, educational, and smoking factors. According to logistic regression analysis, the low risk factors class was more likely to recover from MCI to normal cognitive than the other classes (p < 0.05). These results may provide useful information for designing interventions to prevent cognitive decline and dementia in individuals with MCI.

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