Prognostic significance of the timing in the cardiac cycle of the first (TP1) and second (TP2) systolic peak of the central aortic pulse wave is ill-defined. Incidence rates and standardized multivariable-adjusted hazard ratios (HRs) of adverse health outcomes associated with TP1 and TP2, estimated by the SphygmoCor software, were assessed in the International Database of Central Arterial Properties for Risk Stratification (IDCARS) (n = 5529). Model refinement was assessed by the integrated discrimination (ID) and net reclassification (NR) improvement. Over 4.1 years (median), 201 participants died and 248 and 159 patients experienced cardiovascular or cardiac endpoints. Mean TP1 and TP2, standardized for cohort, sex, age, and heart rate, were 103 and 228 ms. Shorter TP1 and TP2 were associated with higher mortality and shorter TP1 with a higher risk of cardiovascular and cardiac endpoints (trend p ≤ 0.004). The HRs relating total mortality and cardiovascular endpoints to TP2 were 0.82 (95% confidence interval [CI]: 0.72-0.94) and 0.87 (0.77-0.98), respectively. The HR relating cardiac endpoints to TP1 was 0.81 (0.68-0.97). For total mortality and cardiovascular endpoints in relation to TP2, NRI was significant (p ≤ 0.010), but not for cardiac endpoints in relation to TP1. Integrated discrimination improvement (IDI) was not significant for any endpoint. The HRs relating total mortality to TP2 were smaller (p ≤ 0.026) in women than men (0.67 vs. 0.95) and in older (≥ 60 years) versus younger (< 60 years) participants (0.80 vs. 0.88). Our study adds to the evidence supporting risk stratification based on aortic pulse analysis by showing that TP2 and TP1 carry prognostic information.

• MeSH
• Pulse Wave Analysis * methods   MeSH
• Aorta physiopathology   MeSH
• Risk Assessment methods   statistics & numerical data   MeSH
• Hypertension epidemiology   mortality   physiopathology   MeSH
• Cardiovascular Diseases * mortality   epidemiology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Prognosis MeSH
• Risk Factors MeSH
• Aged MeSH
• Heart Rate physiology   MeSH
• Systole physiology   MeSH
• Vascular Stiffness physiology   MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Úvod: Breastfeeding assessment score – BAS je klinický predikční model, tvořený osmi proměnnými, který má usnadnit poskytovatelům zdravotní péče identifikovat rizikové páry matka–dítě, které jsou ohrožené předčasným ukončením kojení. Včasná identifikace rizikových párů podpoří intervence, které pomohou prodloužit kojení. Cíl: Provést analýzu literárních zdrojů zaměřenou na aplikaci a adaptaci nástroje BAS v rozdílných transkulturních podmínkách. Design: Přehledová studie. Metody a soubor: Studie byly vyhledávány v literární rešerši v elektronických vědeckých databázích PubMed, EBSCO a Google Scholar podle předem určených kritérií a definovaných klíčových slov v anglickém, českém a francouzském jazyce: kojení, hodnocení, nástroj, validita. Využita byla vyhledávací fráze „Breastfeeding assessment score“ a zkratka zvoleného nástroje BAS, za období 2002–2021. Celkově bylo vyhledáno šest studií. Systematické třídění a výběr studií byl uskutečněn na základě vývojového diagramu PRISMA. Výsledky: Byly porovnávány studie z Itálie, Francie, Thajska a USA. Celkem čtyři ze šesti studií uvádějí pozitivní výsledky s využitím BAS. Zbylé dvě studie uvádějí jako statisticky významné jen některé proměnné, a to věk kojících matek, předchozí zkušenost s kojením, potíže s přisátím dítěte a frekvenci kojení. BAS je predikční model vhodný na identifikaci párů matka–dítě ohrožených předčasným ukončením kojení 7–10 dní po porodu. Závěr: BAS je snadno použitelná škála pro hodnocení kojení. Je třeba ověřit, zda tento nástroj bude vhodný k predikci žen ohrožených předčasným ukončením kojení v podmínkách české klinické praxe.

Background: The BAS score is a clinical prediction model, made up of 8 variables, which is intended to facilitate health care providers to identify at-risk mother-child pairs who are at risk of premature termination of breastfeeding. Timely identification of at-risk pairs will support interventions that help prolong breastfeeding. Aim: Perform an analysis of literary sources focused on the application and adaptation of the BAS tool in different transcultural conditions. Design: Review study.Methods and Population: Studies were retrieved using a literature search in the electronic scientific databases PubMed, EBSCO and Google Scholar based on predetermined criteria and defined keywords in English, Czech and French: breastfeeding, assessment, tool, validity. The search phrase "Breastfeeding assessment score" and the abbreviation of the selected tool BAS were used, for the period of 2002-2021. A total of 6 studies were retrieved. The studies were sorted based on the PRISMA diagram. Results: Studies from Italy, France, Thailand and the USA were compared. A total of 4 of the six studies present positive results using the BAS. The remaining two studies give only some variables as statistically significant, i.e., the age of breastfeeding mothers, previous experience with breastfeeding, latching difficulties, and the frequency of breastfeeding. BAS is a predictive model suitable for identifying mother-child pairs at risk of premature cessation of breastfeeding 7-10 days after birth. Conclusion: The BAS is an easy-to-use breastfeeding assessment scale. It needs to be verified whether this tool will be suitable for predicting women at risk of premature termination of breastfeeding in the conditions of Czech clinical practice.

• Keywords
• breastfeeding assessment score,
• MeSH
• Infant Nutritional Physiological Phenomena MeSH
• Risk Assessment methods   statistics & numerical data   MeSH
• Clinical Studies as Topic MeSH
• Breast Feeding * MeSH
• Humans MeSH
• Surveys and Questionnaires MeSH
• Mother-Child Relations MeSH
• Check Tag
• Humans MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH

Úvod: Breastfeeding assessment score – BAS je klinický predikční model, tvořený osmi proměnnými, který má usnadnit poskytovatelům zdravotní péče identifikovat rizikové páry matka–dítě, které jsou ohrožené předčasným ukončením kojení. Včasná identifikace rizikových párů podpoří intervence, které pomohou prodloužit kojení. Cíl: Provést analýzu literárních zdrojů zaměřenou na aplikaci a adaptaci nástroje BAS v rozdílných transkulturních podmínkách. Design: Přehledová studie. Metody a soubor: Studie byly vyhledávány v literární rešerši v elektronických vědeckých databázích PubMed, EBSCO a Google Scholar podle předem určených kritérií a definovaných klíčových slov v anglickém, českém a francouzském jazyce: kojení, hodnocení, nástroj, validita. Využita byla vyhledávací fráze „Breastfeeding assessment score“ a zkratka zvoleného nástroje BAS, za období 2002–2021. Celkově bylo vyhledáno šest studií. Systematické třídění a výběr studií byl uskutečněn na základě vývojového diagramu PRISMA. Výsledky: Byly porovnávány studie z Itálie, Francie, Thajska a USA. Celkem čtyři ze šesti studií uvádějí pozitivní výsledky s využitím BAS. Zbylé dvě studie uvádějí jako statisticky významné jen některé proměnné, a to věk kojících matek, předchozí zkušenost s kojením, potíže s přisátím dítěte a frekvenci kojení. BAS je predikční model vhodný na identifikaci párů matka–dítě ohrožených předčasným ukončením kojení 7–10 dní po porodu. Závěr: BAS je snadno použitelná škála pro hodnocení kojení. Je třeba ověřit, zda tento nástroj bude vhodný k predikci žen ohrožených předčasným ukončením kojení v podmínkách české klinické praxe.

Background: The BAS score is a clinical prediction model, made up of 8 variables, which is intended to facilitate health care providers to identify at-risk mother-child pairs who are at risk of premature termination of breastfeeding. Timely identification of at-risk pairs will support interventions that help prolong breastfeeding. Aim: Perform an analysis of literary sources focused on the application and adaptation of the BAS tool in different transcultural conditions. Design: Review study.Methods and Population: Studies were retrieved using a literature search in the electronic scientific databases PubMed, EBSCO and Google Scholar based on predetermined criteria and defined keywords in English, Czech and French: breastfeeding, assessment, tool, validity. The search phrase "Breastfeeding assessment score" and the abbreviation of the selected tool BAS were used, for the period of 2002-2021. A total of 6 studies were retrieved. The studies were sorted based on the PRISMA diagram. Results: Studies from Italy, France, Thailand and the USA were compared. A total of 4 of the six studies present positive results using the BAS. The remaining two studies give only some variables as statistically significant, i.e., the age of breastfeeding mothers, previous experience with breastfeeding, latching difficulties, and the frequency of breastfeeding. BAS is a predictive model suitable for identifying mother-child pairs at risk of premature cessation of breastfeeding 7-10 days after birth. Conclusion: The BAS is an easy-to-use breastfeeding assessment scale. It needs to be verified whether this tool will be suitable for predicting women at risk of premature termination of breastfeeding in the conditions of Czech clinical practice.

• Keywords
• breastfeeding assessment score,
• MeSH
• Infant Nutritional Physiological Phenomena MeSH
• Risk Assessment methods   statistics & numerical data   MeSH
• Clinical Studies as Topic MeSH
• Breast Feeding * MeSH
• Surveys and Questionnaires MeSH
• Mother-Child Relations MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH

• Keywords
• ribociclib,
• MeSH
• Aminopyridines therapeutic use   MeSH
• Survival Analysis MeSH
• Progression-Free Survival MeSH
• Risk Assessment statistics & numerical data   MeSH
• Humans MeSH
• Neoplasm Metastasis MeSH
• Breast Neoplasms * drug therapy   MeSH
• Antineoplastic Agents * therapeutic use   MeSH
• Purines therapeutic use   MeSH
• Statistics as Topic MeSH
• Check Tag
• Humans MeSH
• Female MeSH
• Publication type
• Clinical Study MeSH

• MeSH
• Photons therapeutic use   MeSH
• Risk Assessment statistics & numerical data   MeSH
• Quality of Life MeSH
• Humans MeSH
• Head and Neck Neoplasms * diagnosis   radiotherapy   MeSH
• Health Care Costs statistics & numerical data   MeSH
• Proton Therapy * methods   statistics & numerical data   MeSH
• Treatment Outcome MeSH
• Check Tag
• Humans MeSH
• Publication type
• Review MeSH

BACKGROUND: To test for differences in cancer-specific mortality (CSM) rates between radical prostatectomy (RP) vs external beam radiotherapy (EBRT) in National Comprehensive Cancer Network (NCCN) high-risk African American patients, as well as Johns Hopkins University (JHU) high-risk and very high-risk patients. MATERIALS AND METHODS: Within the Surveillance, Epidemiology, and End Results database (2010-2016), we identified 4165 NCCN high-risk patients, of whom 1944 (46.7%) and 2221 (53.3%) patients qualified for JHU high-risk or very high-risk definitions. Of all 4165 patients, 1390 (33.5%) were treated with RP versus 2775 (66.6%) with EBRT. Cumulative incidence plots and competing risks regression models addressed CSM before and after 1:1 propensity score matching between RP and EBRT NCCN high-risk patients. Subsequently, analyses were repeated separately in JHU high-risk and very high-risk subgroups. Finally, all analyses were repeated after landmark analyses were applied. RESULTS: In the NCCN high-risk cohort, 5-year CSM rates for RP versus EBRT were 2.4 versus 5.2%, yielding a multivariable hazard ratio of 0.50 (95% confidence interval [CI] 0.30-0.84, p = 0.009) favoring RP. In JHU very high-risk patients 5-year CSM rates for RP versus EBRT were 3.7 versus 8.4%, respectively, yielding a multivariable hazard ratio of 0.51 (95% CI: 0.28-0.95, p = 0.03) favoring RP. Conversely, in JHU high-risk patients, no significant CSM difference was recorded between RP vs EBRT (5-year CSM rates: 1.3 vs 1.3%; multivariable hazard ratio: 0.55, 95% CI: 0.16-1.90, p = 0.3). Observations were confirmed in propensity score-matched and landmark analyses adjusted cohorts. CONCLUSIONS: In JHU very high-risk African American patients, RP may hold a CSM advantage over EBRT, but not in JHU high-risk African American patients.

• MeSH
• Black or African American statistics & numerical data   MeSH
• Risk Assessment * methods   statistics & numerical data   MeSH
• Incidence MeSH
• Middle Aged MeSH
• Humans MeSH
• Mortality MeSH
• Prostatic Neoplasms * ethnology   pathology   radiotherapy   surgery   MeSH
• SEER Program statistics & numerical data   MeSH
• Prostatectomy * methods   statistics & numerical data   MeSH
• Radiotherapy * methods   statistics & numerical data   MeSH
• Neoplasm Staging MeSH
• Neoplasm Grading MeSH
• Propensity Score MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• United States MeSH

PURPOSE: Our goal was to compare cancer-specific mortality (CSM) rates between radical prostatectomy (RP) vs external beam radiotherapy (EBRT) in National Comprehensive Cancer Network© (NCCN©) high risk (HR) patients, as well as in Johns Hopkins University (JH) HR and very high risk (VHR) subgroups. MATERIALS AND METHODS: Within the Surveillance, Epidemiology, and End Results database (2010-2016), we identified 24,407 NCCN HR patients, of whom 10,300 (42%) vs 14,107 (58%) patients qualified for JH HR vs VHR, respectively. Overall, 9,823 (40%) underwent RP vs 14,584 (60%) EBRT. Cumulative incidence plots and competing-risks regression addressed CSM after 1:1 propensity score matching (according to age, prostate specific antigen, clinical T and N stages, and biopsy Gleason score) between RP and EBRT patients. All analyses addressed the combined NCCN HR cohort, as well as in JH HR and JH VHR subgroups. RESULTS: In the combined NCCN HR cohort 5-year CSM rates were 2.3% for RP vs 4.1% for EBRT and yielded a multivariate hazard ratio of 0.68 (95% CI 0.54-0.86, p <0.001) favoring RP. In VHR patients 5-year CSM rates were 3.5% for RP vs 6.0% for EBRT, yielding a multivariate hazard ratio of 0.58 (95% CI 0.44-0.77, p <0.001) favoring RP. Conversely, in HR patients no significant difference was recorded between RP vs EBRT (HR 0.7, 95% CI 0.39-1.25, p=0.2). CONCLUSIONS: Our data suggest that RP holds a CSM advantage over EBRT in the combined NCCN HR cohort, and in its subgroup of JH VHR patients.

• MeSH
• Survival Analysis MeSH
• Brachytherapy statistics & numerical data   MeSH
• Risk Assessment statistics & numerical data   MeSH
• Kallikreins blood   MeSH
• Middle Aged MeSH
• Humans MeSH
• Prostatic Neoplasms blood   diagnosis   mortality   therapy   MeSH
• SEER Program MeSH
• Prostate pathology   radiation effects   surgery   MeSH
• Prostatectomy statistics & numerical data   MeSH
• Prostate-Specific Antigen blood   MeSH
• Retrospective Studies MeSH
• Risk Factors MeSH
• Aged MeSH
• Neoplasm Staging MeSH
• Neoplasm Grading MeSH
• Propensity Score MeSH
• Age Factors MeSH
• Treatment Outcome MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Publication type
• Journal Article MeSH
• Comparative Study MeSH

[Figure: see text].

• MeSH
• Blood Pressure Monitoring, Ambulatory methods   MeSH
• Adult MeSH
• Risk Assessment methods   statistics & numerical data   MeSH
• Hypertension diagnosis   physiopathology   MeSH
• Cardiovascular Diseases diagnosis   physiopathology   MeSH
• Blood Pressure physiology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Proportional Hazards Models MeSH
• Risk Factors MeSH
• Aged MeSH
• Sensitivity and Specificity MeSH
• Age Factors MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Research Support, N.I.H., Extramural MeSH

Sepsis is the most common cause of in-hospital deaths, especially from low-income and lower-middle-income countries (LMICs). This study aimed to investigate the mortality rate and associated factors from sepsis in intensive care units (ICUs) in an LMIC. We did a multicenter cross-sectional study of septic patients presenting to 15 adult ICUs throughout Vietnam on the 4 days representing the different seasons of 2019. Of 252 patients, 40.1% died in hospital and 33.3% died in ICU. ICUs with accredited training programs (odds ratio, OR: 0.309; 95% confidence interval, CI 0.122-0.783) and completion of the 3-h sepsis bundle (OR: 0.294; 95% CI 0.083-1.048) were associated with decreased hospital mortality. ICUs with intensivist-to-patient ratio of 1:6 to 8 (OR: 4.533; 95% CI 1.621-12.677), mechanical ventilation (OR: 3.890; 95% CI 1.445-10.474) and renal replacement therapy (OR: 2.816; 95% CI 1.318-6.016) were associated with increased ICU mortality, in contrast to non-surgical source control (OR: 0.292; 95% CI 0.126-0.678) which was associated with decreased ICU mortality. Improvements are needed in the management of sepsis in Vietnam such as increasing resources in critical care settings, making accredited training programs more available, improving compliance with sepsis bundles of care, and treating underlying illness and shock optimally in septic patients.

• MeSH
• Risk Assessment statistics & numerical data   MeSH
• Intensive Care Units statistics & numerical data   MeSH
• Middle Aged MeSH
• Humans MeSH
• Hospital Mortality MeSH
• Cross-Sectional Studies MeSH
• Risk Factors MeSH
• Aged MeSH
• Sepsis mortality   therapy   MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Observational Study MeSH
• Geographicals
• Vietnam MeSH

BACKGROUND: To analyze postoperative, in-hospital, complication rates in patients with organ transplantation before radical prostatectomy (RP). METHODS: From National Inpatient Sample (NIS) database (2000-2015) prostate cancer patients treated with RP were abstracted and stratified according to prior organ transplant versus nontransplant. Multivariable logistic regression models predicted in-hospital complications. RESULTS: Of all eligible 202,419 RP patients, 216 (0.1%) underwent RP after prior organ transplantation. Transplant RP patients exhibited higher proportions of Charlson comorbidity index ≥2 (13.0% vs. 3.0%), obesity (9.3% vs. 5.6%, both p < 0.05), versus to nontransplant RP. Of transplant RP patients, 96 underwent kidney (44.4%), 44 heart (20.4%), 40 liver (18.5%), 30 (13.9%) bone marrow, <11 lung (<5%), and <11 pancreatic (<5%) transplantation before RP. Within transplant RP patients, rates of lymph node dissection ranged from 37.5% (kidney transplant) to 60.0% (bone marrow transplant, p < 0.01) versus 51% in nontransplant patients. Regarding in-hospital complications, transplant patients more frequently exhibited, diabetic (31.5% vs. 11.6%, p < 0.001), major (7.9% vs. 2.9%) cardiac complications (3.2% vs. 1.2%, p = 0.01), and acute kidney failure (5.1% vs. 0.9%, p < 0.001), versus nontransplant RP. In multivariable logistic regression models, transplant RP patients were at higher risk of acute kidney failure (odds ratio [OR]: 4.83), diabetic (OR: 2.81), major (OR: 2.39), intraoperative (OR: 2.38), cardiac (OR: 2.16), transfusion (OR: 1.37), and overall complications (1.36, all p < 0.001). No in-hospital mortalities were recorded in transplant patients after RP. CONCLUSIONS: Of all transplants before RP, kidney ranks first. RP patients with prior transplantation have an increased risk of in-hospital complications. The highest risk, relative to nontransplant RP patients appears to acute kidney failure.

• MeSH
• Acute Kidney Injury * epidemiology   etiology   therapy   MeSH
• Databases, Factual MeSH
• Risk Assessment statistics & numerical data   MeSH
• Hospitalization statistics & numerical data   MeSH
• Comorbidity MeSH
• Middle Aged MeSH
• Humans MeSH
• Prostatic Neoplasms * epidemiology   pathology   surgery   MeSH
• Postoperative Complications * diagnosis   epidemiology   therapy   MeSH
• Prostatectomy adverse effects   methods   statistics & numerical data   MeSH
• Risk Factors MeSH
• Kidney Transplantation statistics & numerical data   MeSH
• Organ Transplantation * classification   statistics & numerical data   MeSH
• Heart Transplantation statistics & numerical data   MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Germany MeSH