scholarly journals Psoriatic and psoriatic arthritis patients with and without jet-lag: does it matter for disease severity scores? Insights and implications from a pilot, prospective study

2019 ◽  
Vol 36 (12) ◽  
pp. 1733-1740 ◽  
Author(s):  
G. Damiani ◽  
N. L. Bragazzi ◽  
S. Garbarino ◽  
V. K. Chattu ◽  
C. M. Shapiro ◽  
...  
Keyword(s):  
Psoriatic Arthritis ◽  
Prospective Study ◽  
Disease Severity ◽  
Jet Lag ◽  
Severity Scores ◽  
Disease Severity Scores

Clinical Outcomes of Acute Pancreatitis in Patients with Cirrhosis According to Liver Disease Severity Scores

2020 ◽  
Author(s):  
C. Roberto Simons-Linares ◽  
Suha Abushamma ◽  
Carlos Romero-Marrero ◽  
Amit Bhatt ◽  
Rocio Lopez ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Liver Disease ◽  
Clinical Outcomes ◽  
Disease Severity ◽  
Severity Scores ◽  
Disease Severity Scores

scholarly journals Prospective validation of pediatric disease severity scores to predict mortality in Ugandan children presenting with malaria and non-malaria febrile illness

Critical Care ◽  
2015 ◽  
Vol 19 (1) ◽  
pp. 47 ◽  
Author(s):  
Andrea L Conroy ◽  
Michael Hawkes ◽  
Kyla Hayford ◽  
Sophie Namasopo ◽  
Robert O Opoka ◽  
...  
Keyword(s):  
Disease Severity ◽  
Febrile Illness ◽  
Severity Scores ◽  
Disease Severity Scores

Does Living Closer to a Medical Care Center Matter in Sickle Cell Disease?

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 875-875
Author(s):  
Jude C Jonassaint ◽  
Charles R. Jonassaint ◽  
Charlene M. Flahiff ◽  
Andrea Ball ◽  
Soheir S. Adam ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Disease Severity ◽  
Sickle Cell ◽  
Employment Status ◽  
Medical Center ◽  
Tertiary Care ◽  
Cell Disease ◽  
Severity Scores ◽  
Disease Severity Scores

Abstract Many of the tertiary care hospitals in North Carolina (NC) are often frequented by patients who have to travel a long distance, given the rural nature of the state. Nearly one half of the adult sickle cell disease (SCD) patients seen at the Duke Comprehensive Sickle Cell Center (DCSCC) come from areas further than a 1-hr drive. The current study aims to determine whether geographical proximity to a comprehensive medical center is associated with SCD outcomes, as indicated by severity score, hospitalization frequency, and quality of life. Methods: Two hundred and two patients who primarily receive their SCD disease-related care from DCSCC were enrolled in the study. The sample included 101 males and 101 females, aged 20–69 years (mean=35.6), with SCD disease (SS: n=135; SC: n=47; other: n=20), and level of education ranging from 4–18 years (mean=13.1). Patients lived an average of 50.4 miles (median: 38.6, range:0.4 to 383) from DCSCC. Linear regressions, controlling for age and SCD diagnosis, were used to test associations between continuous variables. Severity scores measuring end organ damage were determined as previously described (Afenyi-Annan et al. 2008), and frequency of hospitalizations over the past 2 years was determined by self-report and medical record review. To measure mental and physical quality of life (QoL) domains, patients were administered the SF36 QoL scale. Hydroxyurea (HU) and opiate pain therapies were also recorded. Patients were considered to be on opiates if they had used opiates daily for a period of thirty days in the previous 12 months. Results and Discussion: Living closer to Duke had a statistically significant association with higher disease severity scores (β = −0.17, p=0.01). Moreover, proximity to Duke was associated with higher frequency of hospitalizations (β = −0.23, p=0.002). These associations were not modified by gender, employment status or education. Medication use did not account for the association between proximity and disease severity, or proximity and frequency of hospitalizations. The mental domain scores of self-reported QoL correlated negatively with hospitalizations (r= −0.18, p=0.02), whereas the physical domain score negatively correlated with both disease severity (r= −0.19, p <0.01) and hospitalizations (r = −0.26, p <0.01). However, proximity to DCSCC was not associated with the mental or the physical QoL domain. Therefore, it is unlikely that patients move closer to Duke due to higher perceived severity of illness and related medical needs. Conclusion: Patients who live closer to our tertiary care comprehensive center had higher disease severity scores and more hospitalizations over a two year period than patients who live farther away. Neither age, disease diagnosis, gender, employment status, education, nor HU and/or opiate medication use accounted for the negative association between proximity to DCSCC and disease outcomes. On the other hand, distance from DCSCC did not affect patients’ quality of life. The cross-sectional nature of the current study makes it difficult to determine causality. However, it is possible that patients who live close to a major medical center rely more on health system availability as a means to managing their disease, while those living further away rely on self-care at home or adhere to long-term medical regimens. Health care providers may need to focus on developing practice guidelines that encourage and empower patients to take a more active role in their medical care and be less dependent on their healthcare providers to decrease frequency of hospitalization and, perhaps decrease the progression of their disease.

Machine Learning Model to Predict Hypotension After Starting Continuous Renal Replacement Therapy

2020 ◽  
Author(s):  
Min Woo Kang ◽  
Seonmi Kim ◽  
Yong Chul Kim ◽  
Dong Ki Kim ◽  
Kook-Hwan Oh ◽  
...  
Keyword(s):  
Machine Learning ◽  
Renal Replacement Therapy ◽  
Continuous Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Disease Severity ◽  
Support Vector ◽  
Learning Models ◽  
Severity Scores ◽  
Disease Severity Scores ◽  
Machine Learning Models

Abstract Background: Hypotension after starting continuous renal replacement therapy (CRRT) is associated with worse outcome, but it is difficult to predict because several factors have interactive and complex effects on the risk. The present study applied machine learning algorithms to develop models to predict hypotension after initiating CRRT.Methods: Among 2,349 adult patients who started CRRT due to acute kidney injury, 70% and 30% were randomly assigned into the training and testing sets, respectively. Hypotension was defined as a reduction in mean arterial pressure (MAP) ≥20 mmHg from the initial value within 6 hours. The area under the receiver operating characteristic curves (AUROCs) in machine learning models, such as support vector machine (SVM), deep neural network (DNN), and light gradient boosting machine (LGBM), were compared with those in disease-severity scores such as the Sequential Organ Failure Assessment and Acute Physiology and Chronic Health Evaluation II.Results: The DNN model showed the highest AUROC (0.822 [0.789–0.856]), and the LGBM and SVM models followed with AUROCs of 0.810 (0.776–0.845) and 0.807 (0.772–0.842), respectively; all machine learning AUROC values were higher than those obtained from disease-severity scores (AUROCs <0.6). Although different definitions of hypotension were used such as a reduction of MAP ≥30 mmHg or a reduction occurring within 1 hour, the AUROCs of machine learning models were higher than those of disease-severity scores. These machine learning models were well calibrated.Conclusion: Machine learning models successfully predict hypotension after starting CRRT and can serve as the basis of systems to predict hypotension before starting CRRT.

scholarly journals Comparison of six disease severity scores for allergic rhinitis against pollen counts a prospective analysis at population and individual level

2016 ◽  
Vol 27 (4) ◽  
pp. 382-390 ◽  
Author(s):  
Jakob Florack ◽  
Maria Antonia Brighetti ◽  
Serena Perna ◽  
Antonio Pizzulli ◽  
Antje Pizzulli ◽  
...  
Keyword(s):  
Allergic Rhinitis ◽  
Disease Severity ◽  
Prospective Analysis ◽  
Pollen Counts ◽  
Individual Level ◽  
Severity Scores ◽  
Disease Severity Scores

Comparison of Cidofovir and the Measles, Mumps, and Rubella Vaccine in the Treatment of Recurrent Respiratory Papillomatosis

2017 ◽  
Vol 96 (2) ◽  
pp. 69-74 ◽  
Author(s):  
Ryan Kent Meacham ◽  
Jerome W. Thompson
Keyword(s):  
Disease Severity ◽  
Demographic Data ◽  
Recurrent Respiratory Papillomatosis ◽  
Adjunctive Treatment ◽  
Mmr Vaccine ◽  
Severity Scores ◽  
Remission Rates ◽  
Study Population ◽  
Group 3 ◽  
Disease Severity Scores

We conducted a retrospective study of the use of cidofovir and the measles, mumps, and rubella (MMR) vaccineas adjunctive treatments to lesion debridement in patients with recurrent respiratory papillomatosis (RRP). Our study population was made up of 15 children—7 boys and 8 girls, aged 1 to 16 years at diagnosis (mean: 6.2)—with pathologically confirmed RRP who had been followed for at least 1 year. In addition to demographic data, we compiled information on disease severity, the type of adjunctive treatment administered to each patient, the frequency of debridements, the length of observation, and remission rates. Of the 15 patients, 5 had been treated with cidofovirafter debridement (cidofovir-only group), 6 were treated with MMR vaccine after debridement (MMR-only group), 3 were treated with one and later switched to the other based on parental preference, and 1 received neither treatment, only debridement. The initial mean Derkay disease severity scores were 12.6 for the cidofovir-only group and 11.0 for the MMR-only group (p = 0.61). The cidofovir-only patients underwent an average of 11.8 adjunctive treatments and the MMR-only patients an average of 17.7 (p = 0.33). The average duration of observation was 44.0 months in the cidofovir-only group and 64.7 months in the MMR-only group (p = 0.29). Remission rates were 20% in the cidofovir-only group and 50% in the MMR-only group (p = 0.54). Our study found insufficient evidence of any significant differences between cidofovir and the MMR vaccinein terms of the number and frequency of adjunctive treatments and the rates of remission.

P.15 Disease severity scores predict enteral nutrition tolerance

1995 ◽  
Vol 14 ◽  
pp. 33-34
Author(s):  
P. Santos ◽  
L. Tavares ◽  
R. Lourengo ◽  
J. Morgado ◽  
I. Figueira ◽  
...  
Keyword(s):  
Enteral Nutrition ◽  
Disease Severity ◽  
Severity Scores ◽  
Disease Severity Scores

scholarly journals Evaluation of the current disease severity scores in paediatric FMF: is it necessary to develop a new one?

Rheumatology ◽  
2011 ◽  
Vol 51 (4) ◽  
pp. 743-748 ◽  
Author(s):  
Gokhan Kalkan ◽  
Erkan Demirkaya ◽  
Cengiz Han Acikel ◽  
Adem Polat ◽  
Harun Peru ◽  
...  
Keyword(s):  
Disease Severity ◽  
Severity Scores ◽  
Disease Severity Scores

scholarly journals Serum levels of copper, zinc and disease severity scores in sickle cell disease patients in Benin City, Nigeria

2019 ◽  
Vol 19 (3) ◽  
pp. 2798-2805
Author(s):  
Mathias A Emokpae ◽  
Emmanuel B Fatimehin ◽  
Progress A Obazelu
Keyword(s):  
Disease Severity ◽  
Sickle Cell ◽  
Sickle Cell Anaemia ◽  
Serum Levels ◽  
Serum Copper ◽  
Clinical State ◽  
Cell Disease ◽  
Severity Scores ◽  
Copper Zinc ◽  
Disease Severity Scores

Background: Micronutrient deficiency is recognized in sickle cell anaemia (SCA) but it is not known for certain whether changes in zinc, copper and copper-to-zinc ratio are associated with Sickle cell disease severity scores. Objective: To compare serum levels of copper, zinc and copper-to-zinc ratio in SCA subjects with control group and correlate the variables with objective disease severity scores. Methods: Serum copper and zinc were determined in 100 SCA patients and 50 controls using kits supplied by Centronic, Germany. Unpaired Students’t-test was used to compare the variables between SCA patients in steady clinical state, vaso-occlusive crisis and controls, while Spearman correlation coefficient was used to associate the parameters with disease severity scores. Results: Serum copper level was higher (P=0.008) in SCA patients than controls, while serum zinc level was lower (P<0.001) in SCA patients than controls. The copper/zinc ratio was higher (P<0.001) in SCA patients than controls. Significantly higher (P<0.001) copper and lower (P<0.001) zinc levels were observed in patients in vaso-occlusive crisis than in steady clinical state. Zinc correlated inversely (r=-0.2743; P=0.006) while copper-to-zinc ratio correlated positively with disease severity scores. Conclusion: Copper-to-zinc ratio may be an indicator of disease severity in SCA patients.Keywords: Copper/zinc ratio, disease severity score, sickle cell anaemia.

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