Effect of different tightening protocols on the probability of survival of screw-retained implant-supported crowns

2021 ◽  
pp. 105019
Author(s):  
Vinicius P. Fardin ◽  
Edmara T.P. Bergamo ◽  
Dimorvan Bordin ◽  
Ronaldo Hirata ◽  
Estevam A. Bonfante ◽  
...  
Keyword(s):  
Probability Of Survival

Azidothymidine (AZT) in the Treatment of Symptomatic HIV-1-Infected Hemophiliacs

1990 ◽  
Vol 64 (01) ◽  
pp. 108-112 ◽  
Author(s):  
S Eichinger ◽  
I Pabinger ◽  
H Hartl ◽  
C Stain ◽  
S Mayerhofer ◽  
...  
Keyword(s):  
Risk Groups ◽  
Clotting Factor ◽  
Bleeding Tendency ◽  
Probability Of Survival ◽  
Immunodeficiency Virus ◽  
Progression Of Disease ◽  
Bleeding Episodes ◽  
Clotting Factor Concentrates ◽  
Dose Dependent ◽  
Hiv 1

SummaryTwenty-one immunodeficiency virus 1 (HIV 1)-positive hemophilic patients were treated with Azidothymidine (AZT) for symptomatic HIV infection. The median observation period was 20.5 months.At 25 months the probability of survival was 82%, the probability of progression of disease from CDC III or IV C2 to IV C1 (AIDS) was 20% in patients on continuous AZT treatment and 50% in patients with intermption of treatment. Three patients developed severe leukopenia and 3 patients severe anemii during AZT treatment. In 1 patient a dose-dependent striking increase of transaminases during AZT treatment was observed. In 7 patients treatment was intermpted, in 1 patient because of anemia, in 1 because of pruritus and in 5 patients because of noncompliance.No signiticant changes in the consumption of clotting factor concentrates and number of bleeding episodes before and during AZT treatment were noted.We conclude, that both hematological and non-hematological side effects of AZT in HIV 1-infected hemophilic patientr ur. comparable to those seen in other risk groups . AzT does not increase the bleeding tendency in this patient group.

Improved Outcomes after Reperfusion Therapies for Ischemic Stroke: A “Real-world” Study in a Developing Country

2020 ◽  
Vol 17 (4) ◽  
pp. 361-375
Author(s):  
Victor C. Schulz ◽  
Pedro S.C. de Magalhaes ◽  
Camila C. Carneiro ◽  
Julia I.T. da Silva ◽  
Vivian N. Silva ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Real World ◽  
Time Window ◽  
Functional Dependence ◽  
Developed Countries ◽  
First Year ◽  
Middle Income ◽  
Probability Of Survival ◽  
Stroke Center ◽  
Cerebral Reperfusion

Background: It is unknown if improvements in ischemic stroke (IS) outcomes reported after cerebral reperfusion therapies (CRT) in developed countries are also applicable to the “real world” scenario of low and middle-income countries. We aimed to measure the long-term outcomes of severe IS treated or not with CRT in Brazil. Methods: Patients from a stroke center of a state-run hospital were included. We compared the survival probability and functional status at 3 and 12 months in patients with severe IS treated or not with CRT. From 2010 to 2011, we performed intravenous reperfusion when patients arrived within 4.5 h time-window (IVT group) and after 2011, mechanical thrombectomy (MT) combined or not with intravenous alteplase (IAT group). Those who arrived >4.5 h in 2010-2011 and >6 h in 2012-2017 did not undergo CRT (NCRT group). Results: From 2010 to 2017, we registered 917 patients: 74% (677/917) in the NCRT group, 19% (178/917) in the IVT group and 7% (62/917) in the IAT group. Compared to the NCRT group, IVT patients had a 28% higher (HR: 0.72; 95% CI 0.53-0.96) 3-month adjusted probability of survival and risk of functional dependence was 19% lower (adjusted RR: 0.81; 95% CI 0.73-0.91). For those who underwent MT, the adjusted probability of survival was 59 % higher (HR: 0.41; 95% CI 0.21-0.77) and the risk of functional dependence was 21% lower (adjusted RR: 0.79; 95% CI 0.66-094). These outcomes remained significantly better throughout the first year. Conclusion: CRT led to better outcomes in patients with severe IS in Brazil.

Questions to the Article: An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples (Preprint)

2020 ◽  
Author(s):  
Shu-Chun Kuo ◽  
CHIEN WEI ◽  
Willy Chou
Keyword(s):  
Data Entry ◽  
Ann Model ◽  
Model Accuracy ◽  
Data Format ◽  
Raw Data ◽  
Probability Of Survival ◽  
Testing Data ◽  
Laboratory Results ◽  
Data Yield ◽  
Artificial Neural Network Ann

UNSTRUCTURED The recent article published on December 23 27 in 2020 is well-written and of interest, but remains several questions that are required for clarifications, including (1) 30 feature variables with normalized format(mean=0 and SD=1) required to compare model accuracy with those with the raw-data format; (2)inconsistency in variable numbers between entry and preview panels in Figure 4 and reference typos; and (3) data-entry format with raw blood laboratory results in Figure 4 inconsistent with the model designed using normalized data to estimate parameters. We conducted a study using the training and testing data provided by the previous study. An artificial neural network(ANN) model was performed to estimate parameters and compare the model accuracy with those eight models provided by the previous study. We found that (1) normalized data yield higher accuracy than that with the raw data; (2) typos definitely exist at the bottom review (=32>30 variables in the entry) panels in Figure 4 and typos in Table 6; and (3)the ANN earns a probability of survival(=0.91) higher than that(=0.71) in the previous study using the similar entry data when the raw data are assumed in the app. We also demonstrated an author-made app using the visualization to display the prediction result, which is novel and innovative to make the result improved with a dashboard in comparison with the previous study.

scholarly journals Survival of people living with AIDS with or without tuberculosis in Sao Paulo, Brazil

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M V Tancredi ◽  
S Sakabe ◽  
C S B Domingues ◽  
G F M Pereira² ◽  
E A Waldman
Keyword(s):  
Proportional Hazards Model ◽  
Universal Access ◽  
Sao Paulo ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Capital City ◽  
São Paulo ◽  
Aids Patients ◽  
Probability Of Survival ◽  
Aids Diagnosis

Abstract Background To estimate median survival time of AIDS patients, with and without tuberculosis (TB), in a cohort in Sao Paulo, Brazil, and to investigate survival predictors. Methods Retrospective cohort study of AIDS patients above 12 years old, registered at the Ministry of Health AIDS surveillance system between 2003-2007, and followed until 2014. Survival analysis used the Kaplan-Meier method and Cox proportional hazards model to estimate hazard ratios (HR), with respective 95% confidence intervals (CI = 95%). Results 35,515 patients were included, being 4,581 (12.9%) co-infected with TB. Among the latter, probability of survival 12 years after AIDS diagnosis was 95.2%, 82.9%, and 21.9%, respectively for patients receiving at least one third line ARV (HAART2), receiving triple therapy (HAART1) and the last one not on ARV. In the same period, the probability of survival for patients without TB, in the same order as for the therapeutic regimens, was 95.2%, 90.5%, and 40.9%, respectively. The main factors associated with survival, adjusted for the year of diagnosis, were: Living in the city of Sao Paulo (HR = 1,16;IC95% 1,01-1,32), living away from the capital city (HR = 1.43; 95%CI 1.25-1.62); or on the coast (HR = 1.49; 95%CI 1.21-1.82); having TB (HR = 1.70; 95%CI 1.49-1.87); above 49 years old (HR = 1.35; 95%CI 1.18-1.54); black (HR = 1.27; 95%CI 1.12-1.45); IV drug use (HR = 1.73; 95%CI 1.49-2.02); CD4+ below 200 cell/mm³ at AIDS diagnosis (HR = 2.31; 95%CI 1.97-2.72); viral load above 500 copies at AIDS diagnosis (HR = 1.99; 95%CI 1.72-2.30); HAART1 scheme (HR = 1.94; 95%CI 1.47-2.55); no ARV (HR = 8.22; 95%CI 2.95-22.87). Conclusions A large proportion of patients did not receive ARVs or were late diagnosed with AIDS, especially those with TB, whose survival was shorter. Survival is heterogeneous in the state, being lower in regions with higher TB rates. The results point to the need for specific strategies for patients with TB-HIV co-infection. Key messages Tuberculosis is the main cause of death among HIV-infected people, being responsible for one third of deaths in this group and causing a great impact on the survival of this population. The Brazilian policy of universal access to ARV and treatment for TB has increased the survival of AIDS-TB from 22% to 95% and in patients without TB from 50% to 95% up to 12 years after diagnosis.

scholarly journals COVID-19—Importance for Patients on the Waiting List and after Kidney Transplantation—A Single Center Evaluation in 2020–2021

Pathogens ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 429
Author(s):  
Simone C. Boedecker ◽  
Pascal Klimpke ◽  
Daniel Kraus ◽  
Stefan Runkel ◽  
Peter R. Galle ◽  
...  
Keyword(s):  
Kidney Transplantation ◽  
Waiting List ◽  
Smoking History ◽  
Immunocompromised Patients ◽  
Dialysis Patients ◽  
Vaccination Programs ◽  
Mild Disease ◽  
Probability Of Survival ◽  
Number Of Patients ◽  
Immunosuppressed Patients

(1) Background: Dialysis patients and recipients of a kidney allograft are at high risk for infection with SARS-CoV-2. It has been shown that the development of potent neutralizing humoral immunity against SARS CoV-2 leads to an increased probability of survival. However, the question of whether immunocompromised patients develop antibodies has not yet been sufficiently investigated; (2) Methods: SARS-CoV-2 antibodies were examined in hemodialysis patients on the waiting list for kidney transplantation as well as patients after kidney transplantation. Patients were interviewed about symptoms and comorbidities, BMI, and smoking history; (3) Results: SARS-CoV-2 antibodies were found in 16 out of 259 patients (6%). The trend of infections here reflects the general course of infection in Germany with a peak in November/December of 2020. Remarkably, patients on the waiting list experienced only mild disease. In contrast, transplanted patients had to be hospitalized but recovered rapidly from COVID-19. Most interesting is that all immunosuppressed patients developed antibodies against SARS-CoV-2 after infection; (4) Conclusions: Even with extensive hygiene concepts, an above-average number of patients were infected with SARS-CoV-2 during the second wave of infections in Germany. Because SARS-CoV-2 infection triggered the formation of antibodies even in these immunocompromised patients, we expect vaccination to be effective in this group of patients. Thus, dialysis patients and patients after kidney transplantation should be given high priority in vaccination programs.

scholarly journals Conception and Evolution of the Probabilistic Methods for Ship Damage Stability and Flooding Risk Assessment

2021 ◽  
Vol 9 (6) ◽  
pp. 667
Author(s):  
Dracos Vassalos ◽  
M. P. Mujeeb-Ahmed
Keyword(s):  
Risk Assessment ◽  
Probabilistic Method ◽  
Probabilistic Methods ◽  
Full Description ◽  
Safety Level ◽  
Probability Of Survival ◽  
Damage Stability ◽  
Passenger Ships ◽  
Flooding Hazards ◽  
Flooding Risk

The paper provides a full description and explanation of the probabilistic method for ship damage stability assessment from its conception to date with focus on the probability of survival (s-factor), explaining pertinent assumptions and limitations and describing its evolution for specific application to passenger ships, using contemporary numerical and experimental tools and data. It also provides comparisons in results between statistical and direct approaches and makes recommendations on how these can be reconciled with better understanding of the implicit assumptions in the approach for use in ship design and operation. Evolution over the latter years to support pertinent regulatory developments relating to flooding risk (safety level) assessment as well as research in this direction with a focus on passenger ships, have created a new focus that combines all flooding hazards (collision, bottom and side groundings) to assess potential loss of life as a means of guiding further research and developments on damage stability for this ship type. The paper concludes by providing recommendations on the way forward for ship damage stability and flooding risk assessment.

scholarly journals Estimating the predictive power of silent mutations on cancer classification and prognosis

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Tal Gutman ◽  
Guy Goren ◽  
Omri Efroni ◽  
Tamir Tuller
Keyword(s):  
Gene Expression ◽  
Predictive Power ◽  
Predictive Ability ◽  
Cancer Classification ◽  
Silent Mutation ◽  
Cancer Type ◽  
Coding Region ◽  
Probability Of Survival ◽  
Diagnosis And Prognosis ◽  
Cancer Types

AbstractIn recent years it has been shown that silent mutations, in and out of the coding region, can affect gene expression and may be related to tumorigenesis and cancer cell fitness. However, the predictive ability of these mutations for cancer type diagnosis and prognosis has not been evaluated yet. In the current study, based on the analysis of 9,915 cancer genomes and approximately three million mutations, we provide a comprehensive quantitative evaluation of the predictive power of various types of silent and non-silent mutations over cancer classification and prognosis. The results indicate that silent-mutation models outperform the equivalent null models in classifying all examined cancer types and in estimating the probability of survival 10 years after the initial diagnosis. Additionally, combining both non-silent and silent mutations achieved the best classification results for 68% of the cancer types and the best survival estimation results for up to nine years after the diagnosis. Thus, silent mutations hold considerable predictive power over both cancer classification and prognosis, most likely due to their effect on gene expression. It is highly advised that silent mutations are integrated in cancer research in order to unravel the full genomic landscape of cancer and its ramifications on cancer fitness.

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