scholarly journals Prevalence, Risk Factors and Residential Variation among HIV/TB co-infected Mortality in Amhara Region, Fenote Selam Hospital: Application of Multilevel Logistic Regression

2022 ◽  
Author(s):  
Berhanu Bekele Debelu
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Nutritional Status ◽  
Functional Status ◽  
Stage Iv ◽  
Multilevel Logistic Regression ◽  
Random Factor ◽  
Risk Of Death ◽  
Cell Counts ◽  
Clinical Stages

The purpose of this study was to identify the factors that affect the mortality among adult HIV/TB co-infected patients and to see the nutritional difference among mortality in residence level. Retrospective cohort studies of 417 patients which fulfill our criteria were included. Multilevel logistic regression models were used. MLwiN and SPSS software are used to estimate the parameter. The variance of the random factor in the empty model was significant which indicates that there were residential differences in TB-HIV co-infected mortality and it shows multilevel analysis was an appropriate approach for further analysis. The prevalence of HIV/TB co-infected patients' death was 12.9% in study time. Functional status, age of patients, WHO clinical stages, nutritional status, CD4 counts, regimen, and BMI were found to be significant determinants of HIV/TB co-infected mortality. In our study, patients with the bedridden category of functional status, the fourth stages of WHO clinical stages (stage IV), patients with higher age, patients whose treatments were second-line regimen and low CD4 cell counts were more at risk of death. The study also revealed that; poor nutritional status increased the risk of mortality among HIV/TB co-infected patients and it varies among the residence of the patients (rural area were more at risk).

scholarly journals Malnutrition among older adults living in Portuguese nursing homes: the PEN-3S study

2018 ◽  
Vol 22 (3) ◽  
pp. 486-497 ◽  
Author(s):  
Teresa Madeira ◽  
Catarina Peixoto-Plácido ◽  
Nuno Sousa-Santos ◽  
Osvaldo Santos ◽  
Violeta Alarcão ◽  
...  
Keyword(s):  
Older Adults ◽  
At Risk ◽  
Logistic Regression ◽  
Nursing Homes ◽  
Nutritional Status ◽  
Functional Status ◽  
Mini Nutritional Assessment ◽  
Computer Assisted ◽  
Depression Symptoms ◽  
Symptoms Of Depression

AbstractObjectiveTo characterise the nutritional status and to identify malnutrition-associated variables of older adults living in Portuguese nursing homes.DesignCross-sectional study. Data on demographic and socio-economic characteristics, self-reported morbidity, eating-related problems, nutritional status, cognitive function, depression symptoms, loneliness feelings and functional status were collected by trained nutritionists through a computer-assisted face-to-face structured interview followed by standardised anthropometric measurements. Logistic regression was used to identify factors associated with being at risk of malnutrition/malnourished.SettingPortuguese nursing homes.SubjectsNationally representative sample of the Portuguese population aged 65 years or over living in nursing homes.ResultsA total of 1186 individuals (mean age 83·4 years; 72·8 % women) accepted to participate. According to the Mini Nutritional Assessment, 4·8 (95 % CI 3·2, 7·3) % were identified as malnourished and 38·7 (95 % CI 33·5, 44·2) % were at risk of malnutrition. These percentages increased with age and were significantly higher for women. Logistic regression showed (OR; 95 % CI) that older adults reporting no or little appetite (6·5; 2·7, 15·3), those revealing symptoms of depression (2·6; 1·6, 4·2) and those who were more dependent in their daily living activities (4·7; 2·0, 11·1) were also at higher odds of being malnourished or at risk of malnutrition.ConclusionsMalnutrition and risk of malnutrition are prevalent among nursing home residents in Portugal. It is crucial to routinely screen for nutritional disorders, as well as risk factors such as symptoms of depression and lower functional status, to prevent and treat malnutrition.

scholarly journals Sex And Functional Status As A Predictor Of Death Of People Living With HIV/AIDS On Arv Therapy In Buleleng Hospital

2020 ◽  
Vol 8 (2) ◽  
pp. 116
Author(s):  
Putu Dian Prima Kusuma Dewi ◽  
Putu Sukma Megaputri ◽  
Ni Ketut Ayu Wulandari ◽  
Ni Made Dwi Yunica Astriani ◽  
Ari Pertama Watiningsih ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Functional Status ◽  
Total Mortality ◽  
Antiretroviral Drugs ◽  
People Living With Hiv ◽  
Risk Of Death ◽  
Gender Based ◽  
Living With Hiv ◽  
Success Of Treatment ◽  
Hiv Aids

<pre><span>Cases of death in HIV / AIDS are still a benchmark for the success of treatment. Studies of predictors of death in people with HIV in the general population are still very limited. Longitudinal analytic with a retrospective approach using cohort data of patients receiving antiretroviral drugs at Buleleng General Hospital in the period 2006-2015. Analysis uses logistic regression with SPSS version 17. Results show a total of 1204 that the incidence of total mortality rate is 3 per 100 person years. 50% of deaths occurred at 0.14 years of observation. Men and the general functional status of employment were predictors of death in PLHAs. Men have a risk of death 2.12 times higher than that of women (aOR 2.12 (p 0.01 CI 1.28-3.51). Functional status of beds increases the risk of death aOR 2.14 (CI 1.39-3.29 p 0.01).Men have a risk of death evaluation of the success of antiretroviral therapy considers studies and differences in needs between women and men.The functional status of beds shows a poor clinical condition that increases the risk of death in people with HIV. Evaluation of regularity of treatment and the incidence of gender-based deaths should be done more intensively.</span></pre>

Do logistic regression and signal detection identify different subgroups at risk? Implications for the design of tailored interventions.

2001 ◽  
Vol 6 (1) ◽  
pp. 35-48 ◽  
Author(s):  
Michaela Kiernan ◽  
Helena C. Kraemer ◽  
Marilyn A. Winkleby ◽  
Abby C. King ◽  
C. Barr Taylor
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Signal Detection ◽  
Tailored Interventions

Facility of Origin Predicts Mortality After Colonic Perforation

2020 ◽  
pp. 000313482097162
Author(s):  
Samuel D. Butensky ◽  
Emma Gazzara ◽  
Gainosuke Sugiyama ◽  
Gene F. Coppa ◽  
Antonio Alfonso ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Chronic Care ◽  
Care Facility ◽  
Colonic Perforation ◽  
Risk Of Death ◽  
Increased Risk ◽  
Chronic Care Facility ◽  
Partial Colectomy ◽  
Emergent Surgery ◽  
Perforated Viscus

Introduction Colonic perforation often requires emergent intervention and carries high morbidity and mortality. The objective of this study was to determine whether nonclinical factors, such as transition of care from outpatient facilities to inpatient settings, are associated with increased risk of mortality in patients who underwent emergent surgical intervention for colonic perforation. Materials and Methods Using the 2006-2015 ACS National Surgical Quality Improvement Program database, we identified adult patients who underwent emergent partial colectomy with primary anastomosis ± protecting ostomy or partial colectomy with ostomy with intraoperative finding of wound class III or IV for a diagnosis of perforated viscus. The outcome of interest was 30-day postoperative mortality. Univariate and multivariate analyses using logistic regression were performed. Results 4705 patients met criteria, of which 841 (17.9%) died. Univariate analysis showed that patients who died after emergent surgery for perforated viscus were more likely to present from a chronic care facility (13.4% vs. 4.4%, P < .0001) and had longer time from admission to undergoing surgery (mean 4.1 vs. 2.0 days, P < .0001. Logistic regression demonstrated that septic shock vs. none (OR 3.60, P < .0001), sepsis vs. none (OR 1.57, P = .00045), transfer from chronic care facility vs. home (OR 1.87, P < .0001), and increased time from admission vs. operation (OR 1.01, P = .0055) were independently associated with increased risk of death. Discussion Transfer from a chronic care facility was independently associated with increased mortality in patients undergoing emergent surgery for perforated viscus.

scholarly journals 630. A 5-mRNA host response whole-blood classifier trained using patients with non-COVID-19 viral infections accurately predicts severity of COVID-19

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S375-S376
Author(s):  
ljubomir Buturovic ◽  
Purvesh Khatri ◽  
Benjamin Tang ◽  
Kevin Lai ◽  
Win Sen Kuan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Respiratory Failure ◽  
Viral Infections ◽  
Lamp Assay ◽  
Training Data ◽  
Diagnostic Tools ◽  
Severe Respiratory Failure ◽  
Proof Of Concept ◽  
Risk Of Death ◽  
Qpcr Platform

Abstract Background While major progress has been made to establish diagnostic tools for the diagnosis of SARS-CoV-2 infection, determining the severity of COVID-19 remains an unmet medical need. With limited hospital resources, gauging severity would allow for some patients to safely recover in home quarantine while ensuring sicker patients get needed care. We discovered a 5 host mRNA-based classifier for the severity of influenza and other acute viral infections and validated the classifier in COVID-19 patients from Greece. Methods We used training data (N=705) from 21 retrospective clinical studies of influenza and other viral illnesses. Five host mRNAs from a preselected panel were applied to train a logistic regression classifier for predicting 30-day mortality in influenza and other viral illnesses. We then applied this classifier, with fixed weights, to an independent cohort of subjects with confirmed COVID-19 from Athens, Greece (N=71) using NanoString nCounter. Finally, we developed a proof-of-concept rapid, isothermal qRT-LAMP assay for the 5-mRNA host signature using the QuantStudio 6 qPCR platform. Results In 71 patients with COVID-19, the 5 mRNA classifier had an AUROC of 0.88 (95% CI 0.80-0.97) for identifying patients with severe respiratory failure and/or 30-day mortality (Figure 1). Applying a preset cutoff based on training data, the 5-mRNA classifier had 100% sensitivity and 46% specificity for identifying mortality, and 88% sensitivity and 68% specificity for identifying severe respiratory failure. Finally, our proof-of-concept qRT-LAMP assay showed high correlation with the reference NanoString 5-mRNA classifier (r=0.95). Figure 1. Validation of the 5-mRNA classifier in the COVID-19 cohort. (A) Expression of the 5 genes used in the logistic regression model in patients with (red) and without (blue) mortality. (B) The 5-mRNA classifier accurately distinguishes non-severe and severe patients with COVID-19 as well as those at risk of death. Conclusion Our 5-mRNA classifier demonstrated very high accuracy for the prediction of COVID-19 severity and could assist in the rapid, point-of-impact assessment of patients with confirmed COVID-19 to determine level of care thereby improving patient management and healthcare burden. Disclosures ljubomir Buturovic, PhD, Inflammatix Inc. (Employee, Shareholder) Purvesh Khatri, PhD, Inflammatix Inc. (Shareholder) Oliver Liesenfeld, MD, Inflammatix Inc. (Employee, Shareholder) James Wacker, n/a, Inflammatix Inc. (Employee, Shareholder) Uros Midic, PhD, Inflammatix Inc. (Employee, Shareholder) Roland Luethy, PhD, Inflammatix Inc. (Employee, Shareholder) David C. Rawling, PhD, Inflammatix Inc. (Employee, Shareholder) Timothy Sweeney, MD, Inflammatix, Inc. (Employee)

scholarly journals Impact of Rehabilitation Dose on Nutritional Status at Discharge from a Convalescent Rehabilitation Ward in Malnourished Patients with Hip Fracture

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 722
Author(s):  
Yusuke Ito ◽  
Hidetaka Wakabayashi ◽  
Shinta Nishioka ◽  
Shin Nomura ◽  
Ryo Momosaki
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hip Fracture ◽  
Nutritional Status ◽  
Logistic Regression Analysis ◽  
Short Form ◽  
Mini Nutritional Assessment ◽  
Functional Independence ◽  
Rehabilitation Ward ◽  
The Impact

The object of this study is to determine the impact of the rehabilitation dose on the nutritional status at discharge from a convalescent rehabilitation ward in malnourished patients with hip fracture. This retrospective case-control study involved malnourished patients with hip fracture aged 65 years or older who had been admitted to a convalescent rehabilitation ward and whose data were registered in the Japan Rehabilitation Nutrition Database. The primary outcome was nutritional status at discharge. Patients were classified according to whether nutritional status was improved or not at discharge, according to the Mini Nutritional Assessment-Short Form® (MNA-SF) score. The association between improved nutritional status and rehabilitation dose was assessed by a logistic regression analysis. Data were available for 145 patients (27 men, 118 women; mean age 85.1 ± 7.9 years). Daily rehabilitation dose was 109.5 (median 94.6–116.2) min and the MNA-SF score at admission was 5 (median 4–6). Nutritional status was improved in 97 patients and not improved in 48. Logistic regression analysis showed the following factors to be independently associated with nutritional status at discharge: Functional Independence Measure score (OR 1.042, 95% CI 1.016–1.068), energy intake (OR 1.002 CI 1.000–1.004), daily rehabilitation dose (OR 1.023, 95% CI 1.002–1.045), and length of hospital stay (OR 1.026, 95% CI 1.003–1.049). The daily rehabilitation dose in malnourished patients with hip fracture may positively impact nutritional status at discharge.

Dental Caries Severity and Nutritional Status of Nigerian Preschool Children

2021 ◽  
pp. 238008442110021
Author(s):  
O.O. Olatosi ◽  
A.A. Alade ◽  
T. Naicker ◽  
T. Busch ◽  
A. Oyapero ◽  
...  
Keyword(s):  
Early Childhood ◽  
Dental Caries ◽  
Nutritional Status ◽  
Early Childhood Caries ◽  
Z Score ◽  
Cross Sectional ◽  
Risk Of Death ◽  
Malnourished Children ◽  
Z Scores ◽  
Childhood Caries

Introduction: Malnutrition in children is one of the most prevalent global health challenges, and malnourished children have a higher risk of death from childhood diseases. Early childhood caries (ECC) is the most common chronic disease of childhood. Complications from ECC such as pain, loss of tooth/teeth, and infection can undermine a child’s nutrition and growth. Aim: This study aims to evaluate the severity of decay, missing, and filled tooth (dmft) by nutritional status using the z scores of the anthropometric measurements: height for age (HFA), weight for age (WFA), weight for height (WFH), and body mass index for age (BMIA) among children with ECC in Nigeria. Study Design: This is a cross-sectional study conducted in 5 local government areas (LGAs) in Lagos State, Nigeria. A multistage sampling technique was used. Results: A total of 273 cases of ECC were included in the analyses (mean age 4.19 ± 0.96 y). Overall, the mean dmft was 3.04 ± 2.28, and most (96%) were accounted for by untreated decay. The distribution of dmft within the different z score categories of BMIA (<–3 = severely wasted, –2 to –3 = wasted, –2 to +2 = normal, +2 to +3 = overweight and >+3 = obese) showed the highest dmft scores among the combined severely wasted and wasted groups, lowest among children with normal z scores, and intermediate in the overweight and obese groups. There was a significant negative correlation between BMIA z score, WFH z score, and dmft ( r = −0.181, P < 0.05 and r = −0.143, P < 0.05, respectively). However, the correlations between HFA z score, WFA z score, and dmft were positive but not significant ( r = 0.048, P = 0.44 and r = 0.022, P = 0.77, respectively). Conclusion: Our study showed an increased severity of dental caries among severely wasted or wasted children with ECC compared to those of normal or overweight. Knowledge Transfer Statement: The results from this study will raise awareness among clinicians and policy makers on the need for a primary prevention program for early childhood caries in countries with high burden of malnutrition and limited resources. Also, it will help draw the attention of clinicians to the caries status of malnourished children that can be managed to improve the nutritional outcomes.

A High Masticatory Muscle Tone Predicts the Risk of Malnutrition and Frailty in Inpatient Older Adults: A Cross-Sectional Study

Gerontology ◽  
2021 ◽  
pp. 1-7
Author(s):  
Yin-Hwa Shih ◽  
Zhen-Rong Hong ◽  
Shih-Min Hsia ◽  
Shang-Yu Yang ◽  
Tzong-Ming Shieh
Keyword(s):  
Older Adults ◽  
At Risk ◽  
Nutritional Status ◽  
Masseter Muscle ◽  
Muscle Tone ◽  
Handgrip Strength ◽  
Muscle Performance ◽  
Masticatory Muscle ◽  
Masticatory Performance ◽  
Poor Nutritional Status

<b><i>Introduction:</i></b> The prevalence of malnutrition among inpatient older adults is as high as 20∼50%. Masticatory performance is known to affect the nutritional status of individuals. However, an objective measurement to reflect the real status of masticatory muscle performance is lacking at the bedside. <b><i>Methods:</i></b> This pilot study analyzed the masticatory performance using surface electromyography (sEMG) of masticatory muscles that measures both muscle strength and muscle tone at the bedside. The nutritional status was measured using the Mini Nutritional Assessment tool. The handgrip strength was measured using a hand dynamometer. The statistical data were analyzed using SPSS 25 software. <b><i>Results:</i></b> The data revealed that female inpatient older adults more frequently had substandard handgrip strength (<i>p</i> = 0.028), an at-risk and poor nutritional status (<i>p</i> = 0.005), and a higher masseter muscle tone (<i>p</i> = 0.024). Inpatient older adults with an at-risk and poor nutritional status had an older age (<i>p</i> = 0.016), lower handgrip strength (<i>p</i> = 0.001), and higher average masseter muscle tone (<i>p</i> = 0.01). A high masseter muscle tone predicted the risk of having an at-risk and poor nutritional status. The at-risk or poor nutritional status predicted having a substandard handgrip strength by 5-fold. <b><i>Conclusions:</i></b> A high masticatory muscle tone predicts malnutrition and frailty. Medical professionals should combat masticatory dysfunction-induced malnutrition by detecting masticatory muscle performance using sEMG and referring patients to dental professionals. Additionally, encouraging inpatient older adults to perform oral motor exercise is recommended.

A Predictive Model of Intrinsic Factors Associated with Long-Stay Nursing Home Care After Hospitalization

2020 ◽  
pp. 105477382098527
Author(s):  
Jane Flanagan ◽  
Marie Boltz ◽  
Ming Ji
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Receiver Operating Characteristic ◽  
Predictive Model ◽  
Operating Characteristic ◽  
Resource Planning ◽  
Term Care ◽  
Intrinsic Factors ◽  
Patients At Risk ◽  
Receiver Operating

We aimed to build a predictive model with intrinsic factors measured upon admission to skilled nursing facilities (SNFs) post-acute care (PAC) to identify older adults transferred from SNFs to long-term care (LTC) instead of home. We analyzed data from Massachusetts in 23,662 persons admitted to SNFs from PAC in 2013. Explanatory logistic regression analysis identified single “intrinsic predictors” related to LTC placement. To assess overfitting, the logistic regression predictive model was cross-validated and evaluated by its receiver operating characteristic (ROC) curve. A 12-variable predictive model with “intrinsic predictors” demonstrated both high in-sample and out-of-sample predictive accuracy in the receiver operating characteristic ROC and area under the ROC among patients at risk of LTC placement. This predictive model may be used for early identification of patients at risk for LTC after hospitalization in order to support targeted rehabilitative approaches and resource planning.

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