scholarly journals Perfusion Index Trajectory Analysis: Predictive Ability for Short-Term Complications in Preterm Newborns

2021 ◽  
Vol 8 (1) ◽  
pp. 1-8
Author(s):  
Julián Alfredo Fernández-Niño ◽  
Keyword(s):  
Trajectory Analysis ◽  
Predictive Ability ◽  
Perfusion Index ◽  
Behavior Patterns ◽  
Short Term ◽  
Trajectory Model ◽  
Clinical Complications ◽  
Preterm Newborns

The aim of this study was to determine the predictability of clinical complications by analyzing the perfusion index historical behavior patterns with polynomial group-based trajectory model.

Predictive value of short-term migration in determining long-term stable fixation in cemented and cementless total knee arthroplasties

2019 ◽  
Vol 101-B (7_Supple_C) ◽  
pp. 55-60 ◽  
Author(s):  
E. K. Laende ◽  
C. G. Richardson ◽  
M. J. Dunbar
Keyword(s):  
Predictive Value ◽  
Predictive Ability ◽  
Porous Metal ◽  
Short Term ◽  
Long Term Follow Up ◽  
Total Knee ◽  
Total Point ◽  
Cementless Components

Aims Early implant migration measured with radiostereometric analysis (RSA) has been proposed as a useful predictor of long-term fixation of tibial components in total knee arthroplasty. Evaluation of actual long-term fixation is of interest for cemented components, as well as for cementless fixation, which may offer long-term advantages once osseointegration has occurred. The objective of this study was to compare the long-term migration with one- and two-year migration to evaluate the predictive ability of short-term migration data and to compare migration and inducible displacement between cemented and cementless (porous metal monoblock) components at least ten years postoperatively. Patients and Methods Patients who had participated in RSA migration studies with two-year follow-up were recruited to return for a long-term follow-up, at least ten years from surgery. Two cemented tibial designs from two manufacturers and one porous metal monoblock cementless tibial design were studied. At the long-term follow-up, patients had supine RSA examinations to determine migration and loaded examinations (single leg stance) to determine inducible displacement. In total, 79 patients (54 female) returned, with mean time since surgery of 12 years (10 to 14). There were 58 cemented and 21 cementless tibial components. Results Migration at one year and two years was significantly correlated with long-term migration (p < 0.001). Median migration at the long-term follow-up was 0.6 mm (maximum total point motion; interquartile range (IQR) 0.4 to 0.9) for the cemented group and 0.6 mm (IQR 0.3 to 1.1) for the cementless group with no difference between groups (p = 0.99). Inducible displacement was significantly lower for the cementless components (p < 0.001). Conclusion Long-term migration was strongly correlated with two-year migration. Although long-term migration was not different for cemented or cementless tibial components, inducible displacement at the long-term visit was significantly lower for these cementless components, suggesting superior fixation. These findings support the predictive value of short-term migration in determining long-term fixation. Cite this article: Bone Joint J 2019;101-B(7 Supple C):55–60

Abortion and Pregnant Adolescents

1993 ◽  
Vol 74 (7) ◽  
pp. 397-409 ◽  
Author(s):  
Paul V. Trad
Keyword(s):  
Birth Control ◽  
Therapeutic Intervention ◽  
Pregnancy Termination ◽  
Behavior Patterns ◽  
Short Term ◽  
Pregnant Adolescents ◽  
Sexual Activities

Statistics indicate that the incidence of pregnancy termination through abortion is on the rise among adolescents. This trend is particularly disturbing because many teenagers opting for an abortion disclose that they engaged in unprotected sexual activities. Despite the ostensible willingness of teenagers to rely upon abortion as a method of birth control, evidence suggests that the procedure may have enduring negative repercussions. Previewing, which focuses the adolescent on predicting the likely consequences of her behavior, may be a beneficial therapeutic intervention in these cases. During short-term psychotherapy, previewing may help teenagers anticipate the likely outcome of abortion and thus modify behavior patterns so that pregnancy and abortion may be avoided.

Long- and short-term effects of propranolol hydrochloride treatment on very preterm newborns

2020 ◽  
Vol 9 (2) ◽  
pp. 111
Author(s):  
Osman Bastug ◽  
Levent Korkmaz ◽  
Ahmet Ozdemir ◽  
Sabriye Korkut
Keyword(s):  
Propranolol Hydrochloride ◽  
Short Term ◽  
Very Preterm ◽  
Preterm Newborns ◽  
Short Term Effects

scholarly journals PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3530
Author(s):  
Katarzyna Maciejowska ◽  
Bartosz Uniejewski ◽  
Tomasz Serafin
Keyword(s):  
Predictive Accuracy ◽  
Expert Knowledge ◽  
Predictive Ability ◽  
Principal Component ◽  
Absolute Error ◽  
Electricity Prices ◽  
Short Term ◽  
White Test ◽  
The Mean ◽  
Short Term Forecasting

Recently, the development in combining point forecasts of electricity prices obtained with different length of calibration windows have provided an extremely efficient and simple tool for improving predictive accuracy. However, the proposed methods are strongly dependent on expert knowledge and may not be directly transferred from one to another model or market. Hence, we consider a novel extension and propose to use principal component analysis (PCA) to automate the procedure of averaging over a rich pool of predictions. We apply PCA to a panel of over 650 point forecasts obtained for different calibration windows length. The robustness of the approach is evaluated with three different forecasting tasks, i.e., forecasting day-ahead prices, forecasting intraday ID3 prices one day in advance, and finally very short term forecasting of ID3 prices (i.e., six hours before delivery). The empirical results are compared using the Mean Absolute Error measure and Giacomini and White test for conditional predictive ability (CPA). The results indicate that PCA averaging not only yields significantly more accurate forecasts than individual predictions but also outperforms other forecast averaging schemes.

Efficacy of VBHOM to Predict Outcome Following Major Lower Limb Amputation

2012 ◽  
Vol 46 (5) ◽  
pp. 369-373 ◽  
Author(s):  
Andrew J. Patterson ◽  
Andrew J. Degnan ◽  
Stewart R. Walsh ◽  
Mohammed Eltayeb ◽  
Earl F. Scout ◽  
...  
Keyword(s):  
Lower Limb ◽  
White Cell Count ◽  
Predictive Ability ◽  
Lower Limb Amputation ◽  
Limb Amputation ◽  
Stepwise Logistic Regression ◽  
Short Term ◽  
Sodium Potassium ◽  
Lack Of Fit ◽  
Short Term Mortality

Purpose: This study tests an existing Vascular Biochemistry and Haematology Outcome Model (VBHOM) on independent data and presents further refinements to the model. Methods: Data from 306 patients who underwent lower limb amputation over a 4-year period were collated. Urea, creatinine, sodium, potassium, hemoglobin, white cell count, albumin, age, gender, mode-of-admission, and short-term mortality events were extracted from the database. This study tests an existing model and trains a new model for predicting mortality using forward stepwise logistic regression. Results: The existing model suggests a significant lack of fit (c-index = 0.665, P = .04). For the exception of gender and mode-of-admission, all predictor variables had significant univariate associations with short-term mortality ( P < .05). The refined model included age, sodium, potassium, creatinine, and albumin and had good discriminatory power (c-index = 0.8, no evidence of lack of fit, P = .616). Conclusions: Our simplified model had good predictive ability and suggests redundancy in input variables used by the existing models.

Pulse oximeter perfusion index in preterm newborns: Echocardiographic correlations

2008 ◽  
Vol 84 ◽  
pp. S156-S157
Author(s):  
Federico Schena ◽  
Elena Ciarmoli ◽  
Stefano Ghirardello ◽  
Monica Fumagalli ◽  
Fabio Mosca
Keyword(s):  
Pulse Oximeter ◽  
Perfusion Index ◽  
Preterm Newborns

Do cancer-specific variables improve risk-adjusted hospital quality comparisons?

2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 585-585 ◽  
Author(s):  
Ryan P. Merkow ◽  
Thomas E. Kmiecik ◽  
David J Bentrem ◽  
Mark E Cohen ◽  
Bruce L Hall ◽  
...  
Keyword(s):  
Neoadjuvant Therapy ◽  
Colorectal Resection ◽  
Predictive Ability ◽  
Hospital Quality ◽  
Short Term ◽  
Combined Model ◽  
Related Factors ◽  
Fit Statistics ◽  
C Statistic ◽  
Improved Model

585 Background: For patients undergoing surgery for cancer, it has been suggested that risk-adjustment with cancer-specific variables is needed when evaluating short-term outcomes. Our objectives were to assess the influence of cancer-related variables on postoperative complications and hospital quality comparisons. Methods: Patients from ACS NSQIP and NCDB who underwent colorectal resection for cancer were linked (2006-2008) to create a dataset containing robust information on comorbidities, complications, and oncologic variables. Three hierarchical models were developed predicting the NSQIP outcome 30-day mortality or any serious morbidity using variables from (1) NSQIP only, (2) NCDB only, and (3) a combined model using NSQIP and NCDB. Models were compared with fit statistics and hospital outlier agreement. Results: From 146 NSQIP hospitals, 11401 patients underwent a colorectal resection for cancer, of which, 1954 (17%) experienced a mortality or serious morbidity event. The first five variables selected in the NCDB-only model were Charlson comorbidity score, neoadjuvant therapy use, T stage, primary payer, and M stage (c-statistic, 0.64; AIC, 9886). The first five variables selected in the NSQIP-only model were ASA class, preop sepsis, albumin, surgical procedure, and COPD (c-statistic, 0.66; AIC, 9787). In the combined model, neoadjuvant therapy use was the only cancer-specific variable selected in the top five. The remaining variables were ASA class, preop sepsis, albumin, and wound class (c-statistic, 0.67; AIC, 9455). At the hospital-level, the NCDB-only model identified three high outliers (worse than expected) and one low outlier (better than expected). Both the NSQIP-only and combined models identified the same four high and two low outlying hospitals (kappa: 1.0), which agreed marginally with the NCDB-only model (kappa: 0.59). Conclusions: Addition of cancer-specific variables to NSQIP models slightly improved model fit; however, hospital outcome comparisons were identical. For patients with colorectal cancer undergoing resection, cancer-related factors have limited predictive ability for short-term outcomes and did not influence hospital quality comparisons.

scholarly journals Technical trading revisited: evidence from the Asian stock markets

2014 ◽  
Vol 11 (2) ◽  
pp. 511-532 ◽  
Author(s):  
Thorben Lubnau ◽  
Neda Todorova
Keyword(s):  
Transaction Costs ◽  
Moving Average ◽  
Predictive Ability ◽  
Excess Returns ◽  
Short Term ◽  
Technical Trading ◽  
Developed Markets ◽  
Stock Indices ◽  
Bootstrap Tests

We examine the forecasting power and profitability of moving average (MA) and trading range break (TRB) rules for the daily prices of ten Asian stock indices from January 1990 to September 2012 using bootstrap tests. The results confirm the predictive ability of MA rules whereas the picture uncovered by the TRB rules is more mixed. The MA rules consistently generate positive excess returns after transaction costs, with highest magnitudes often achieved for less developed markets. However, more developed markets surprisingly seem to be far from informationally efficient as well. Furthermore, short-term variants of the trading rules outperform systematically long-term variants.

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