scholarly journals Intraoperative pH Is a Reliable Prognostic Factor for Patients With Periampullary Carcinoma Undergoing Pancreaticoduodenectomy

2021 ◽  
Vol 11 ◽  
Author(s):  
Chao Dang ◽  
Min Wang ◽  
Tingmei Wang ◽  
Renyi Qin
Keyword(s):  
Prognostic Factor ◽  
Operating Characteristic ◽  
Ph Value ◽  
Characteristic Curve ◽  
Low Ph ◽  
Periampullary Carcinoma ◽  
Short Term ◽  
The Difference ◽  
Long Term Prognosis

A reliable prognostic factor for periampullary carcinoma is critical to improve surgical outcomes. Intraoperative acidosis reflects the incidence of intraoperative adverse events and impact the prognosis. In this study, 612 patients with periampullary carcinoma who underwent pancreaticoduodenectomy (PD) were divided into high- and low-pH groups according to the cut-off value of receiver operating characteristic curve (7.34). Through statistical analysis of the difference between the high- and low-pH group, it was found that the low-pH group had worse short-term prognosis than the high pH group, and intraoperative pH was an independent prognostic factor for patients with periampullary carcinoma undergoing PD. In addition, patients who underwent laparoscopic pancreaticoduodenectomy had a more alkaline pH after surgery. This is of great help for early judgment of short-term and even long-term prognosis of patients with pancreatic cancer after surgery, and can even guide clinicians to improve prognosis by early adjustment of pH value.

scholarly journals Clinical and pathogenetic features of myocardial infarction in patients with atrial fibrillation

2020 ◽  
pp. 31-39
Author(s):  
S.Y. Borodashkina ◽  
◽  
K.V. Protasov ◽  
Keyword(s):  
Myocardial Infarction ◽  
Atrial Fibrillation ◽  
Observational Studies ◽  
Risk Group ◽  
Clinical Manifestations ◽  
High Risk Group ◽  
Short Term ◽  
Invasive Treatment ◽  
Long Term Prognosis

Patients with myocardial infarction (MI) and atrial fibrillation (AF), the number of which is progressively increasing every year, make up a high-risk group for both recurrent cardiovascular events and bleeding; they require special attention from clinicians. The literature review provides data on features of pathogenesis and clinical manifestations of MI in patients with AF. The analysis of data on AF effect observational studies on short-term and long-term prognosis in patients with myocardial infarction was carried out. Mechanisms of occurrence, clinical features and prognostic value of postinfarction AF are considered. From the standpoint of modern clinical guidelines, information is presented on features of MI invasive treatment in combination with AF. Algorithms of anticoagulant and antiarrhythmic therapy in patients of this category are considered.

goods and cash are shown sometimes together, sometimes sepa­ rately. This inventory may be compared to the assets of modem bal­ ance sheets. It was accompanied by a cash statement. There were no liabilities since long-term debts had been forbidden by the stat­ utes since 1702. The Company relied only on the funds contrib­ uted by its partners or on profits. After 1785, short-term debts were separated from each corresponding item of receipts. It was not until 1820 when the use of double entry bookkeeping showed liabilities as they are shown at the present time. Those liabilities included short-term debts and estimated liabilities so that the net worth (called “capital net") could be calculated. Inventory was never compared to the receipts and payments statement as a means of verifying the inventory. For example, depreciation was calculated at the end of the 18th century in order to have an accurate inventory, but it was never featured clearly in the calcula­ tion of profit. The 18th item of the statutes of Plastrier’s Company3 men­ tions that profit is the difference between receipts and payments, and that "they were quarterly calculated after the constitution of a 15000£ (livres toumois) reserve." This was the only means the Company had of knowing how much could be paid to the owners. Such a simplified system was entirely in line with the desire to keep this information confidential. According to Sellon, an important Genevese shareholder of the Company, the simplified accounting system allowed any director, ignorant of accounting, to hold the Ledger sans confidens, that is without the help of a qualified accountant, so that secrets of the business could be preserved. The term "capital" was not used. The statutes only say fonds or effets, which correspond to the inventory value of all the assets of the Company at a fixed date. The owners' contributions to capital were made either in-kind (Venetian glass from Pocquelin in 1667) or in cash after 1702. They were considered an advance to the company, rewarded at a 10% rate. However, these advances were never refunded so that they can be considered as capital. The number of partners was fewer than ten before 1695. After that date, through inherit­ ances and the selling of ownership interests, the number of part­

2014 ◽  
pp. 252-252
Keyword(s):  
18Th Century ◽  
Accounting System ◽  
Short Term ◽  
Net Worth ◽  
Knowing How ◽  
The Difference ◽  
Double Entry

Techniques to Predict Agricultural Droughts

2005 ◽  
Author(s):  
Zekai Şen
Keyword(s):  
Crop Yield ◽  
Satellite Data ◽  
Wheat Yield ◽  
Weather Variables ◽  
Short Term ◽  
Yield Model ◽  
Regression Techniques ◽  
The Difference ◽  
Effects Of Drought

In general, the techniques to predict drought include statistical regression, time series, stochastic (or probabilistic), and, lately, pattern recognition techniques. All of these techniques require that a quantitative variable be identified to define drought, with which to begin the process of prediction. In the case of agricultural drought, such a variable can be the yield (production per unit area) of the major crop in a region (Kumar, 1998; Boken, 2000). The crop yield in a year can be compared with its long-term average, and drought intensity can be classified as nil, mild, moderate, severe, or disastrous, based on the difference between the current yield and the average yield. Regression techniques estimate crop yields using yield-affecting variables. A comprehensive list of possible variables that affect yield is provided in chapter 1. Usually, the weather variables routinely available for a historical period that significantly affect the yield are included in a regression analysis. Regression techniques using weather data during a growing season produce short-term estimates (e.g., Sakamoto, 1978; Idso et al., 1979; Slabbers and Dunin, 1981; Diaz et al., 1983; Cordery and Graham, 1989; Walker, 1989; Toure et al., 1995; Kumar, 1998). Various researchers in different parts of the world (see other chapters) have developed drought indices that can also be included along with the weather variables to estimate crop yield. For example, Boken and Shaykewich (2002) modifed the Western Canada Wheat Yield Model (Walker, 1989) drought index using daily temperature and precipitation data and advanced very high resolution radiometer (AVHRR) satellite data. The modified model improved the predictive power of the wheat yield model significantly. Some satellite data-based variables that can be used to predict crop yield are described in chapters 5, 6, 9, 13, 19, and 28. The short-term estimates are available just before or around harvest time. But many times long-term estimates are required to predict drought for next year, so that long-term planning for dealing with the effects of drought can be initiated in time.

Physicians’ predictions of long-term survival and functional outcomes do not influence the decision to admit patients with advanced disease to intensive care: A prospective study

2020 ◽  
pp. 026921632096393
Author(s):  
Monica Escher ◽  
Mathieu Nendaz ◽  
Fabienne Scherer ◽  
Stéphane Cullati ◽  
Thomas Perneger
Keyword(s):  
Intensive Care ◽  
Functional Outcomes ◽  
Advanced Disease ◽  
Short Term ◽  
Term Survival ◽  
Admission Decisions ◽  
Long Term Prognosis ◽  
A Prospective Study ◽  
Short Term Survival

Background: Long-term survival and functional outcomes should influence admission decisions to intensive care, especially for patients with advanced disease. Aim: To determine whether physicians’ predictions of long-term prognosis influenced admission decisions for patients with and without advanced disease. Design: A prospective study was conducted. Physicians estimated patient survival with intensive care and with care on the ward, and the probability of 4 long-term outcomes: leaving hospital alive, survival at 6 months, recovery of functional status, and recovery of cognitive status. Patient mortality at 28 days was recorded. We built multivariate logistic regression models using admission to the intensive care unit (ICU) as the dependent variable. Setting/participants: ICU consultations for medical inpatients at a Swiss tertiary care hospital were included. Results: Of 201 evaluated patients, 105 (52.2%) had an advanced disease and 140 (69.7%) were admitted to the ICU. The probability of admission was strongly associated with the expected short-term survival benefit for patients with or without advanced disease. In contrast, the predicted likelihood that the patient would leave the hospital alive, would be alive 6 months later, would recover functional status, and would recover initial cognitive capacity was not associated with the decision to admit a patient to the ICU. Even for patients with advanced disease, none of these estimated outcomes influenced the admission decision. Conclusions: ICU admissions of patients with advanced disease were determined by short-term survival benefit, and not by long-term prognosis. Advance care planning and developing decision-aid tools for triage could help limit potentially inappropriate admissions to intensive care.

Significance of Tumor Capsular Invasion in Well-Differentiated Thyroid Carcinomas

2007 ◽  
Vol 73 (5) ◽  
pp. 484-491 ◽  
Author(s):  
Julio C. Furlan ◽  
Yvan C. Bedard ◽  
Irving B. Rosen
Keyword(s):  
Clinical Outcome ◽  
Prognostic Index ◽  
University Teaching ◽  
Biological Behavior ◽  
Capsular Invasion ◽  
Short Term ◽  
European Organization ◽  
Long Term Prognosis ◽  
Well Differentiated

This study examines the influence of tumor capsular invasion on the biological behavior of papillary (PTC) and follicular thyroid carcinoma (FTC) and the prognosis of surgically treated patients. This retrospective cohort study included 350 cases of PTC or FTC from a university teaching hospital. Patient charts were randomly selected and reviewed. The study population was divided into PTC and FTC groups. Each group was subdivided into CI+ (with tumor capsular invasion) and CI- subgroups (without tumor capsule or without capsular invasion). The long-term prognosis was assessed using the American Joint Committee on Cancer pTNM staging and the prognostic index was elaborated by the European Organization for Research and Treatment of Cancer. There were 284 women and 66 men (ages 19–89 years, mean of 44) with an incidence of 53.1 per cent for CI+ tumors. There were no significant differences between the PTC subgroups regarding the short-term clinical outcome and the long-term prognosis. Although patients with CI+ FTC showed lower incidence of lymph node metastasis than patients with CI- FTC, the FTC subgroups were comparable regarding the short-term clinical outcome and the long-term prognosis. Our results suggest that presence of tumor capsular invasion does not adversely influence biological behavior or survival of PTC or FTC. Moreover, the presence of tumor capsular invasion appears to not have significance for the long-term prognosis of patients with PTC or FTC.

scholarly journals Variables Affecting Peri-Implant Radiographic Bone Loss-8-23 Years Follow-Up

2020 ◽  
Vol 10 (23) ◽  
pp. 8591
Author(s):  
Michael Saminsky ◽  
Anat Ben Dor ◽  
Jacob Horwitz
Keyword(s):  
Bone Loss ◽  
Goodness Of Fit ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Factors Associated ◽  
Implant Placement ◽  
Dental Records

The aim of this study is to evaluate factors associated with long-term peri-implant bone-loss and to create a statistical model explaining bone-loss. The dental records in a private periodontal practice were screened for implant-patients with a minimal follow-up period of 8 years with periapical radiographs at implant-placement (T0) and last follow-up (Tf). Collected data included demographics, general health, medications, periodontal parameters, implant parameters, bone augmentation procedures, restoration and antagonist data, number of supportive periodontal appointments (SPT), and radiographic bone-loss between T0 and Tf. Bivariate and Mixed Logistic Regression analyses were performed. “Goodness-of-fit” of the model was elaborated with Receiver Operating Characteristic Curve (ROC) analyses. Thirty-seven patients receiving 142 implants were included. Mean clinical follow-up period was 11.7 ± 3.7 years (range 8–23). Most implants 64.4% were SPT-maintained more than twice a year. Patients with osteoporosis and smokers were prone to increased radiographic peri-implant bone-loss. External-hex implants placed without guided bone regeneration (GBR) and implants 10–12 mm long and diameter of 3.7–4 mm showed less peri-implant bone-loss. The model’s Area Under the Curve (AUC) was 76.9% (Standard Error 4.6%, CI 67.8%–86%).

A Review of Metabolic Parameters in Quetiapine Studies Across Diagnoses

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
J. Newcomer ◽  
R. Ratner ◽  
M. Åström ◽  
H. Eriksson
Keyword(s):  
Atypical Antipsychotics ◽  
Extended Release ◽  
Term Treatment ◽  
Metabolic Parameters ◽  
Short Term ◽  
Pooled Data ◽  
Long Term Treatment ◽  
Potential Risks ◽  
The Difference

Background:Data pertaining to changes in weight during long-term treatment with quetiapine (QTP) have been published previously (1).Methods:Pooled data are presented from 26 short-term clinical studies (up to 12 weeks) of QTP or quetiapine extended-release (QTP XR)-as monotherapy or adjunct therapy-conducted by AstraZeneca up to November 2007. Studies were conducted in adult patients (18-65 years) across a number of psychiatric diagnoses. Variables were analyzed irrespective of fasting status with similar analyses planned in the fasting subset. LSM changes from baseline for the difference between QTP and placebo are presented.Results:Approximately 10000 patients were included in the analyses, 70% of whom were treated with QTP or QTP XR. Across the entire short-term dataset, the difference in LSM change in weight for QTP vs. placebo was 1.07 kg. Corresponding differences in glucose regulation parameters were 1.39 mg/dL for glucose and 0.04% units for HbA1C. the overall difference in total cholesterol was 5.48 mg/dL, with differences in HDL and LDL cholesterol of -0.62 mg/dL and 1.69 mg/dL. the difference in LSM change in triglycerides was 22.62 mg/dL.Discussion:Within the context of balancing potential risks against the acknowledged benefits of atypical antipsychotics, the degree and significance of variations in metabolic parameters is an area of continued interest. This analysis helps clinicians to better understand changes in important metabolic parameters across trials with QTP and QTP XR, and the size and uniqueness of the dataset permits further analyses within this important area.Supported by funding from AstraZeneca Pharmaceuticals LP.

scholarly journals PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data

2019 ◽  
Vol 33 ◽  
pp. 1118-1125 ◽  
Author(s):  
Patrick Schwab ◽  
Walter Karlen
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Clinical Assessment ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Predictive Performance ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Term Data

Parkinson’s disease is a neurodegenerative disease that can affect a person’s movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson’s disease by performing a clinical assessment of symptoms. However, misdiagnoses are common. One factor that contributes to misdiagnoses is that the symptoms of Parkinson’s disease may not be prominent at the time the clinical assessment is performed. Here, we present a machine-learning approach towards distinguishing between people with and without Parkinson’s disease using long-term data from smartphone-based walking, voice, tapping and memory tests. We demonstrate that our attentive deep-learning models achieve significant improvements in predictive performance over strong baselines (area under the receiver operating characteristic curve = 0.85) in data from a cohort of 1853 participants. We also show that our models identify meaningful features in the input data. Our results confirm that smartphone data collected over extended periods of time could in the future potentially be used as a digital biomarker for the diagnosis of Parkinson’s disease.

Disability pensions in severely disturbed in-patient adolescents

1998 ◽  
Vol 172 (2) ◽  
pp. 159-163 ◽  
Author(s):  
M. Pelkonen ◽  
M. Marttunen ◽  
E. Pulkkinen ◽  
P. Laippala ◽  
J. Lönnqvist ◽  
...  
Keyword(s):  
Psychosocial Functioning ◽  
Disability Pension ◽  
Psychiatric Care ◽  
Critical Time ◽  
Working Capacity ◽  
Short Term ◽  
Related Factors ◽  
Long Term Prognosis

BackgroundKnowledge of working capacity from adolescence until adulthood among severely disturbed in-patients is scarce.MethodIn a follow-up study of 61 adolescent in-patients, we studied associations between being on a disability pension 20 years after hospitalisation, and the patients' psychopathology and treatment-related factors during the hospitalisation and seven-year follow-up.ResultsOf the former in-patients. 27% had not been on a disability pension, 20% had short-term pension periods, and 53% were pensioned. Subjects whose overall psychosocial functioning had improved and who had not utilised in-patient services until the seven-year follow-up, had a better prognosis in terms of working capacity Half of the subjects who had not been on pension during the follow-up had received a diagnosis of conduct disorder at discharge, and half of those pensioned had a psychotic disorder.ConclusionsThe patients' level of psychosocial functioning and capability to work in young adulthood were associated with long-term prognosis in terms of working capacity Adolescence seems to be the critical time for intensive psychiatric care combined with vocational rehabilitation programmes.

scholarly journals Therapy-induced selective loss of leukemia-initiating activity in murine adult T cell leukemia

2010 ◽  
Vol 207 (13) ◽  
pp. 2785-2792 ◽  
Author(s):  
Hiba El Hajj ◽  
Marwan El-Sabban ◽  
Hideki Hasegawa ◽  
Ghazi Zaatari ◽  
Julien Ablain ◽  
...  
Keyword(s):  
T Cell ◽  
Type I ◽  
T Cell Leukemia ◽  
Cell Leukemia ◽  
Short Term ◽  
Adult T Cell Leukemia ◽  
Human T Cell ◽  
Long Term Prognosis ◽  
Cell Immortality

Chronic HTLV-I (human T cell lymphotropic virus type I) infection may cause adult T cell leukemia/lymphoma (ATL), a disease with dismal long-term prognosis. The HTLV-I transactivator, Tax, initiates ATL in transgenic mice. In this study, we demonstrate that an As2O3 and IFN-α combination, known to trigger Tax proteolysis, cures Tax-driven ATL in mice. Unexpectedly, this combination therapy abrogated initial leukemia engraftment into secondary recipients, whereas the primary tumor bulk still grew in the primary hosts, only to ultimately abate later on. This loss of initial transplantability required proteasome function. A similar regimen recently yielded unprecedented disease control in human ATL. Our demonstration that this drug combination targeting Tax stability abrogates tumor cell immortality but not short-term growth may foretell a favorable long-term efficiency of this regimen in patients.

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