Mortality In Low-risk Patients Research Articles

The glucocorticoid dose-mortality nexus in pneumonia patients: unveiling the threshold effect.

The impact of glucocorticoid use on mortality risk in pneumonia patients remains unclear. This study aimed to investigate the relationship between the accumulated dose of glucocorticoids (ADG) and secondary pneumonia mortality risk among patients receiving oral or intravenous glucocorticoids. Data from the DRYAD database were analyzed, covering pneumonia patients from six academic hospitals over a 5-year period who had been administered oral or intravenous glucocorticoids. Piecewise linear regression and multivariate regression analysis were utilized to assess the association between ADG and mortality risk in pneumonia patients, while adjusting for potential confounders. Among the 628 pneumonia patients included, the 30-day mortality rate was 23.1% and the 90-day mortality rate was 26.4%. In the high-dose glucocorticoid group (≥24mg/day of methylprednisolone or an equivalent glucocorticoid within 30 days before admission), the 30-day and 90-day mortality rates were 31.2% and 35.9%, respectively. Piecewise linear regression analysis demonstrated a non-linear relationship between ADG and mortality risk in pneumonia patients. Multivariate regression analysis revealed a significantly lower mortality risk in patients receiving an ADG of 20-39g methylprednisolone compared to those receiving lower (<20g) or higher doses (≥40g), after adjusting for potential confounding factors. Additionally, in the high-dose glucocorticoid group, surpassing the inflection point of 20g of methylprednisolone raised the 30-day and 90-day mortality risks (adjusted odds ratio, 95% confidence interval: 1.16, 1.03-1.30 and 1.23, 1.07-1.42, respectively). Notably, this threshold effect was observed exclusively in male patients. This study provides evidence supporting a potential threshold effect between ADG and mortality risk in oral or intravenous glucocorticoid users with secondary pneumonia. Specifically, male patients receiving high-dose glucocorticoids should undergo close monitoring when the ADG of methylprednisolone exceeds 20g, as it may be associated with an elevated risk of mortality.

Survival benefit of inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a nationwide cohort study

The role of inhaled corticosteroids (ICS) in chronic obstructive pulmonary disease (COPD) is debated. We investigated whether the administration of ICS could lower the mortality risk in patients with COPD. We utilized the Korean National Health Insurance Service-National Sample Cohort database from 2002 to 2019. We included patients who had claim codes for COPD and inhalation respiratory medicine at least twice a year. A time-dependent Cox regression model was employed to estimate the association between ICS usage and survival. The cumulative dose of ICS was classified into three groups, and the mortality risk was compared among these groups. Of 16,463 included patients, there were 4395 (26.7%) deaths during the mean follow-up period of 5.0 years. The time-dependent Cox regression model demonstrated that ICS users had a significantly lower mortality risk compared to non-users (adjusted hazard ratio, 0.89; 95% CI, 0.83–0.94; p < 0.001), particularly among individuals aged ≥ 55 years, women, never smokers, and those with history of asthma or coronary heart disease. Higher cumulative dose groups were associated with a lower mortality risk compared to the lowest cumulative dose group. In conclusion, the administration of ICS seemed to be associated with a lower mortality risk in patients with COPD.

Analysis of risk factors for postoperative mortality in acute type A aortic dissection patients under different critical levels

We built up a risk stratification model to divide acute type A aortic dissection (aTAAD) patients into low- and high-risk groups, further, to evaluate the risk factors for postoperative mortality. A total of 1364 patients from 2010 to 2020 in our center were retrospectively analyzed. More than twenty clinical variables were related with postoperative mortality. The postoperative mortality of the high-risk patients was doubled than the low-risk ones (21.8% vs 10.1%). The increased operation time, combined coronary artery bypass graft, cerebral complications, re-intubation, continuous renal replacement therapy and surgical infection were risk factors of postoperative mortality in low-risk patients. In addition, postoperative lower limbs or visceral malperfusion were risk factors, axillary artery cannulation and moderate hypothermia were protective factors in high-risk patients. A scoring system for quick decision-making is needed to select appropriate surgical strategy in aTAAD patients. For low-risk patients, different surgical treatments can be performed with similar clinical prognosis. Limited arch treatment and appropriate cannulation approach are crucial in high-risk aTAAD patients.

Life Expectancy of Patients With Severe Aortic Stenosis in Relation to Age and Surgical Risk Score

BackgroundThere is a paucity of data regarding shorter life expectancy after aortic valve replacement (AVR) in patients with severe aortic stenosis (AS). MethodsAmong 3815 patients with severe AS enrolled in the CURRENT AS (Contemporary outcomes after sURgery and medical tREatmeNT in patients with severe Aortic Stenosis) registry, there were 1469 patients (initial AVR: n = 647; conservative strategy: n = 822) with low surgical risk, 1642 patients (initial AVR: n = 433; conservative strategy: n = 1209) with intermediate surgical risk, and 704 patients (initial AVR: n = 117; conservative strategy: n = 587) with high surgical risk. Among 1163 patients who actually underwent surgical AVR as the initial strategy, patients were divided into 4 groups according to age <65 years (n = 185), 65 to 74 (n = 394), 75 to 80 (n = 345), and >80 (n = 239). The expected survival of the general Japanese population was obtained from the Statistics Bureau of Japan. The surgical risk was estimated using The Society of Thoracic Surgery (STS) score. ResultsThe median follow-up was 3.7 years. The cumulative incidences of all-cause death were significantly lower in the initial AVR strategy than in the initial conservative strategy across the 3 STS groups. Shorter life expectancy after surgical AVR was seen especially in younger patients. The observed mortality in low-risk patients was comparable to the expected mortality across all the age-groups, while intermediate-risk patients aged <75 years, and high-risk patients across all age-groups had higher mortality compared with the expected mortality. ConclusionsThe risk stratification according to age and STS score might be useful to estimate shorter life expectancy after AVR, and these findings have implications for decision making in the choice of surgical or transcatheter AVR.

Machine learning models for prediction of adverse events after percutaneous coronary intervention

An accurate prediction of major adverse events after percutaneous coronary intervention (PCI) improves clinical decisions and specific interventions. To determine whether machine learning (ML) techniques predict peri-PCI adverse events [acute kidney injury (AKI), bleeding, and in-hospital mortality] with better discrimination or calibration than the National Cardiovascular Data Registry (NCDR-CathPCI) risk scores, we developed logistic regression and gradient descent boosting (XGBoost) models for each outcome using data from a prospective, all-comer, multicenter registry that enrolled consecutive coronary artery disease patients undergoing PCI in Japan between 2008 and 2020. The NCDR-CathPCI risk scores demonstrated good discrimination for each outcome (C-statistics of 0.82, 0.76, and 0.95 for AKI, bleeding, and in-hospital mortality) with considerable calibration. Compared with the NCDR-CathPCI risk scores, the XGBoost models modestly improved discrimination for AKI and bleeding (C-statistics of 0.84 in AKI, and 0.79 in bleeding) but not for in-hospital mortality (C-statistics of 0.96). The calibration plot demonstrated that the XGBoost model overestimated the risk for in-hospital mortality in low-risk patients. All of the original NCDR-CathPCI risk scores for adverse periprocedural events showed adequate discrimination and calibration within our cohort. When using the ML-based technique, however, the improvement in the overall risk prediction was minimal.

Mortality Risk of Antidiabetic Agents for Type 2 Diabetes With COVID-19: A Systematic Review and Meta-Analysis.

AimsWe conducted a systematic review and meta-analysis to assess various antidiabetic agents’ association with mortality in patients with type 2 diabetes (T2DM) who have coronavirus disease 2019 (COVID-19).MethodsWe performed comprehensive literature retrieval from the date of inception until February 2, 2021, in medical databases (PubMed, Web of Science, Embase, and Cochrane Library), regarding mortality outcomes in patients with T2DM who have COVID-19. Pooled OR and 95% CI data were used to assess relationships between antidiabetic agents and mortality.ResultsEighteen studies with 17,338 patients were included in the meta-analysis. Metformin (pooled OR, 0.69; P=0.001) and sulfonylurea (pooled OR, 0.80; P=0.016) were associated with lower mortality risk in patients with T2DM who had COVID-19. However, patients with T2DM who had COVID-19 and received insulin exhibited greater mortality (pooled OR, 2.20; P=0.002). Mortality did not significantly differ (pooled OR, 0.72; P=0.057) between DPP-4 inhibitor users and non-users.ConclusionsMetformin and sulfonylurea could be associated with reduced mortality risk in patients with T2DM who have COVID-19. Furthermore, insulin use could be associated with greater mortality, while DPP-4 inhibitor use could not be. The effects of antidiabetic agents in patients with T2DM who have COVID-19 require further exploration.Systematic Review RegistrationPROSPERO (identifier, CRD42021242898).

Prediction of perioperative mortality in cardiac surgery – Risk scoring systems: In quest of the holy grail

Prediction of perioperative mortality in cardiac surgery – Risk scoring systems: In quest of the holy grail

The influence of diabetes and hypertension on outcome in COVID-19 patients: Do we mix apples and oranges?

The influence of diabetes and hypertension on outcome in COVID-19 patients: Do we mix apples and oranges?

Mortality in low-risk patients with aortic stenosis undergoing transcatheter or surgical aortic valve replacement: a reconstructed individual patient data meta-analysis.

Although the standard of care for patients with severe aortic stenosis at low-surgical risk has included surgical aortic valve replacement (SAVR) since the mid-1960s, many clinical studies have investigated whether transcatheter aortic valve implantation (TAVI) can be a better approach in these patients. As no individual study has been performed to detect the difference in mortality between these 2 treatment strategies, we did a reconstructive individual patient data analysis to study the long-term difference in all-cause mortality. Randomized clinical trials and propensity score-matched studies that included low-risk adult patients with severe aortic stenosis undergoing either SAVR or TAVI and with reports on the mortality rates during the follow-up period were considered. The primary outcome was all-cause mortality of up to 5 years. In the reconstructed individual patient data analysis, there was no statistically significant difference in all-cause mortality between TAVI and SAVR at 5 years of follow-up [30.7% vs 21.4%, hazard ratio (HR) 1.19, 95% confidence interval (CI) 0.96-1.48; P = 0.104]. However, landmark analyses in patients surviving up to 1 year of follow-up showed significantly higher all-cause mortality at 5 years of follow-up (27.5% vs 17.3%, HR 1.77, 95% CI 1.29-2.43; P < 0.001) in patients undergoing TAVI compared to patients undergoing SAVR, respectively. This reconstructed individual patient data analysis in low-risk patients with severe aortic stenosis demonstrates that the 5-year all-cause mortality rates are higher after TAVI than after SAVR, driven by markedly higher mortality rates between 1 and 5 years of follow-up in the TAVI group. The present results call for caution in expanding the TAVI procedure as the treatment of choice for the majority of all low-risk patients until long-term data from contemporary randomized clinical trials are available.

Influence of surgical volume on outcomes in low-risk patients undergoing isolated surgical aortic valve replacement

BackgroundIntermediate- and high-risk patients undergoing isolated surgical aortic valve replacement have superior outcomes at higher-volume compared with lower-volume hospitals. This study examines the impact of hospital volume on outcomes in low-risk patients undergoing aortic valve replacement. MethodsUsing data from our 29 North Texas hospital collaborative, we examined 2066 low-risk cases (Society of Thoracic Surgeons Predicted Risk of Mortality of ≤3%) undergoing aortic valve replacement surgery between January 1, 2012, and December 31, 2017. Cases from 3 high-volume hospitals (≥200 aortic valve replacement cases total) and 26 low-volume hospitals (<200 cases total) were examined. ResultsSome 53.5% of the cases were at high-volume hospitals. No statistical differences were seen in the Predicted Risk of Mortality or pertinent demographics between the high-volume and low-volume hospitals. Significant differences in outcomes were seen between the 2 groups in operative mortality (2.28% vs 1.19%, P = .007), renal failure (2.14% vs 1.00%, P = .003), and readmission within 30 days (9.72% vs 6.25%, P < .001) when comparing low-volume with high-volume hospitals. In patients undergoing aortic valve replacement, undergoing the procedure in a low-volume hospital was an independent predictor for operative mortality (odds ratio, 1.95; 95% confidence interval, 1.20-3.20; P = .008) and renal failure (odds ratio, 2.25; 95% confidence interval, 1.33-3.81; P = .003). ConclusionsOperative mortality in low-risk patients undergoing aortic valve replacement is higher in low-volume compared with high-volume hospitals. The probability of a major complication, such as renal failure, is also greater in low-volume hospitals. The relationship between volume and outcomes in low-risk patients will require more research to understand the causes and design appropriate interventions.

Prosthesis-Patient Mismatch Increases Early and Late Mortality in Low Risk Aortic Valve Replacement

The concept of prosthesis-patient mismatch (PPM) has gained much attention since first described 40 years ago. Previous studies have shown conflicting evidence regarding increased early and late morbidity and mortality with PPM after aortic valve replacement (AVR). The aim of this study was to evaluate the effects of PPM on short- and long-term mortality in low-risk patients after isolated AVR. A retrospective, single-center study involving 1707 consecutive patients ≤80 years of age with preserved left ventricular systolic function who underwent elective, primary isolated AVR operations from 2008 to 2018. Patients were stratified into 2 groups according to the presence of PPM (n = 96), defined as effective orifice area index <0.85 cm2/m2 body surface area, and no-PPM (n = 1611). The effect of PPM on mortality was evaluated with univariate and multivariate analyses. 30-day mortality was 0.8% (4.2% in PPM group vs 0.6 in no-PPM group; P = 0.005). PPM occurred more in female gender, obese and older patients. PPM was highly associated with long-term all-cause mortality (median 4 years [Q1-Q3 2-7]; HR: 1.79, 95% CI: 1.27-2.55, P = 0.002), and remained strongly and independently associated after adjustment for other risk factors (HR: 1.60, 95% CI: 1.10-2.34, P = 0.014). In propensity score-matched analysis, the adjusted mortality risk was higher in PPM group (HR: 2.03, 95% CI: 1.22-3.39, P = 0.006) compared to no-PPM group. In a single-centre observational study, PPM increased early mortality and was independently associated with long-term all-cause mortality after low-risk, primary isolated AVR operations. Strategies to avoid PPM should be explored and implemented.

Real-world effectiveness of medications on survival in patients with COPD-heart failure overlap.

The appropriate treatment for patients with coexistent chronic obstructive pulmonary disease (COPD) and heart failure (HF) remains unclear. Data from the Taiwan National Health Insurance Research Database was used for this retrospective cohort study. Patients diagnosed with both diseases between 1997 and 2012 were enrolled as the COPD-heart failure overlap cohort. Patients were categorized as non-users and users of specific COPD and HF medications. Medication prescriptions in each 3-month and 1-year period served as time-dependent covariates. The primary endpoint was cumulative survival. The validation study confirmed the accuracy of definitions of COPD (94.0% sensitivity) and HF (96.3% sensitivity).The study included 275,436 patients with COPD-heart failure overlap, with a mean follow-up period of 9.32 years. The COPD-heart failure overlap cohort had more medical service use and higher mortality than did the COPD alone cohort. Use of inhaled corticosteroid (ICS)/long-acting β2 agonist (LABA) combinations, long-acting muscarinic antagonist (LAMA), angiotensin receptor blockers (ARBs), β blockers, aldosterone antagonists, and statins reduced mortality risk compared with non-use. Sensitivity and subgroup analyses confirmed the consistency and robustness of results.ICS/LABA combinations, LAMA, ARBs, β blockers, aldosterone antagonists, and statins use was associated with a lower mortality risk in patients with COPD-heart failure overlap.

Chronic Kidney Disease and the Adiposity Paradox: Valid or Confounded?

Obesity, defined by body mass index (BMI), is associated with lower mortality risk in patients with chronic kidney disease (CKD). BMI and % body fat (%BF) are confounded by muscle mass, while DXA derived fat mass index (FMI) overcomes this limitation. We compared the associations between obesity and mortality in persons with CKD using multiple estimates of adiposity, and determined whether muscle mass, inflammation and weight loss modify these associations. Obesity was defined using BMI and DXA-derived FMI and %BF cut-offs in 2,852 NHANES participants with CKD from 1999-2006 and linked to the National Death Index with follow up through 2011. Cox proportional hazards models assessed associations between mortality and measures of obesity. Obesity based on FMI and continuous variables, FMI, BMI and %BF were associated with lower mortality. The protective association of obesity was less pronounced among participants with higher muscle mass and was no longer significant after adjustment for prior weight loss. Inflammation did not modify these associations. We observed lower mortality associated with higher fat mass, particularly among persons with lower muscle mass. The prevalence of >10% weight loss was half as common among obese compared to non-obese participants and confounded these associations.

Clinical prediction rules for mortality in patients with pulmonary embolism and cancer to guide outpatient management: a meta‐analysis

Background Cancer treatment is commonly complicated by pulmonary embolism (PE), which remains a leading cause of morbidity and mortality in these patients. Some guidelines recommend the use of clinical prediction rules (CPRs) to help clinicians identify patients at low risk of mortality and therefore guide care. Objective To determine and compare the accuracy of available CPRs for identifying cancer patients with PE at low risk of mortality. Methods A literature search of Medline and Scopus (January 2000 to August 2017) was performed. Studies deriving/validating ≥1 CPR for early post-PE all-cause mortality were included. A bivariate, random-effects model was used to pool sensitivity and specificity estimates for each CPR. Traditional random-effects meta-analysis was performed to estimate the weighted proportion of patients deemed at low risk of early mortality, mortality in low risk patients and odds ratios for death compared with higher-risk patients. Results Eight studies evaluating 10 CPRs were included. The highest sensitivities were observed with Hestia (98.1%, 95% confidence interval [CI]=75.6-99.9%) and the EPIPHANY index (97.4%, 95% CI=93.2-99.0%); sensitivities of remaining rules ranged from 59.9 to 96.6%. Of the six CPRs with sensitivities ≥95%, none had specificities >33%. Random-effects meta-analysis suggested that 6.6-51.6% of cancer patients with PE were at low risk of mortality, 0-14.3% of low-risk patients died and low-risk patients had a 43-94% lower odds of death compared with those at higher risk. Conclusions Because of the limited total body of evidence regarding CPRs, their results, in conjunction with other pertinent patient-specific clinical factors, should continue to be used in identifying appropriate management for PE in patients with cancer.

RE: Influence of Statins and Cholesterol on Mortality Among Patients With Pancreatic Cancer.

Background Recent studies have suggested associations between statins and enhanced survival among patients with pancreatic ductal adenocarcinoma (PDAC). However, the relationship between statins, cholesterol, and survival remains unclear. Methods We conducted a retrospective cohort study on 2142 PDAC patients in a regional integrated healthcare system from 2006 to 2014. Electronic pharmacy records were used to abstract information on the type, length, and dosage of statin exposures starting in the year prior to diagnosis. The cumulative and individual effects of simvastatin, lovastatin, atorvastatin, pravastatin, and rosuvastatin on mortality were assessed using Cox proportional hazards regression. Statins were evaluated as any use (pre- and postdiagnosis as a time-dependent variable) and baseline use (prediagnosis only). We also evaluated whether low-density lipoprotein (LDL) cholesterol, measured at various time windows prior to diagnosis, had an independent influence on survival. Additional analyses were performed to examine whether cholesterol mediated the relationship between statins and mortality. All models included age, race, stage, surgery, gemcitabine-based chemotherapy, and the Charlson comorbidity index as covariates. Results Any (hazard ratio [HR] = 0.87, 95% confidence interval [CI] = 0.79 to 0.97) and baseline (HR = 0.88, 95% CI = 0.79 to 0.98) statin use were both associated with a decreased risk in mortality. When assessing individual statins, we found reduced mortality among simvastatin (HR = 0.87, 95% CI = 0.77 to 0.98) and atorvastatin (HR = 0.58, 95% CI = 0.46 to 0.72) users. Cholesterol was not associated with mortality and did not mediate any relationships between statins and survival. Conclusions Statin use rather than cholesterol level was associated with lower mortality risk in patients with pancreatic cancer. Statins appear to improve survival through a lipid-independent mechanism.

Clinical effects, cardiovascular and renal outcomes associated with rapid-acting insulin analogs among individuals with type 2 diabetes: a nation-wide observational cohort study

BackgroundRapid-acting insulin analogs (RAIs) have not been examined for long-term safety in randomized clinical trials. We performed a nationwide longitudinal cohort study among individuals with type 2 diabetes (T2DM) to address cardiovascular safety and mortality among users of lispro, aspart and glulisine insulins.MethodsWe used four national registers, following patients previously not treated with RAI but with continuous use of RAIs in 2005-2014 up to 6.4 years, to examine HbA1c and weight, and the occurrence of severe hyperglycemia or hypoglycemia, renal failure, cardiovascular events or death. The treatment groups were compared using a weighted Cox proportional hazards model.ResultsWe included 17,620 patients, mean age slightly higher than 60 years, diabetes duration 9.9–11.7 years, mean BMI 30.5 kg/m2, HbA1c around 70 mmol/mol (8.6% NGSP), and 40.9–54.0% of the patients exhibiting eGFR <60 ml/min/1.73 m2 in the three groups. Around 95% of the patients also used another insulin, and 24.2–24.7% had a history of cardiovascular disease (CVD).Mean HbA1c and weight levels were stable and similar. Incidence rates of death were 234.4, 284.9 and 156.7 per 1000 person-years among users of lispro, aspart, and glulisine; incidence rates of all cardiovascular events were 668.4, 622.4, and 699.5 per 1000 person-years, respectively.There were no differences in mortality, CVD, renal failure or severe hypoglycemia or hyperglycemia, although a lower mortality risk in patients on glulisine compared with aspart, and lower risk of stroke in users of glulisine was suggested. The risk of severe hyperglycemia was higher with lispro than aspart, and lower of severe hypoglycemia than aspart or glulisine among the older age group.ConclusionsOverall, there do not appear to be any major important differences in effects on hypoglycemia, hyperglycemia, weight or long-term safety between the three available RAIs among insulin-naive individuals with T2DM in clinical practice.

Influence of Statins and Cholesterol on Mortality Among Patients With Pancreatic Cancer.

Recent studies have suggested associations between statins and enhanced survival among patients with pancreatic ductal adenocarcinoma (PDAC). However, the relationship between statins, cholesterol, and survival remains unclear. We conducted a retrospective cohort study on 2142 PDAC patients in a regional integrated healthcare system from 2006 to 2014. Electronic pharmacy records were used to abstract information on the type, length, and dosage of statin exposures starting in the year prior to diagnosis. The cumulative and individual effects of simvastatin, lovastatin, atorvastatin, pravastatin, and rosuvastatin on mortality were assessed using Cox proportional hazards regression. Statins were evaluated as any use (pre- and postdiagnosis as a time-dependent variable) and baseline use (prediagnosis only). We also evaluated whether low-density lipoprotein (LDL) cholesterol, measured at various time windows prior to diagnosis, had an independent influence on survival. Additional analyses were performed to examine whether cholesterol mediated the relationship between statins and mortality. All models included age, race, stage, surgery, gemcitabine-based chemotherapy, and the Charlson comorbidity index as covariates. Any (hazard ratio [HR] = 0.87, 95% confidence interval [CI] = 0.79 to 0.97) and baseline (HR = 0.88, 95% CI = 0.79 to 0.98) statin use were both associated with a decreased risk in mortality. When assessing individual statins, we found reduced mortality among simvastatin (HR = 0.87, 95% CI = 0.77 to 0.98) and atorvastatin (HR = 0.58, 95% CI = 0.46 to 0.72) users. Cholesterol was not associated with mortality and did not mediate any relationships between statins and survival. Statin use rather than cholesterol level was associated with lower mortality risk in patients with pancreatic cancer. Statins appear to improve survival through a lipid-independent mechanism.

Extended-hours hemodialysis is associated with lower mortality risk in patients with end-stage renal disease

Extended-hours hemodialysis offers substantially longer treatment time compared to conventional hemodialysis schedules and is associated with improved fluid and electrolyte control and favorable cardiac remodeling. However, whether extended-hours hemodialysis improves survival remains unclear. Therefore, we determined the association between extended-hours compared to conventional hemodialysis and the risk of all-cause mortality in a nationally representative cohort of patients initiating maintenance dialysis in the United States from 2007 to 2011. Survival analyses using causal inference modeling with marginal structural models were performed to compare mortality risk among 1206 individuals undergoing thrice weekly extended-hours hemodialysis or 111,707 patients receiving conventional hemodialysis treatments. The average treatment time per session for extended-hours hemodialysis was 399 minutes compared to 211 minutes for conventional therapy. The crude mortality rate with extended-hours hemodialysis was 6.4 deaths per 100 patient-years compared with 14.7 deaths per 100 patient-years for conventional hemodialysis. In the primary analysis, patients treated with extended-hours hemodialysis had a 33% lower adjusted risk of death compared to those who were treated with a conventional regimen (95% confidence interval: 7% to 51%). Additional analyses accounting for analytical assumptions regarding exposure and outcome, facility-level confounders, and prior modality history were similar. Thus, in this large nationally representative cohort, treatment with extended-hours hemodialysis was associated with a lower risk for mortality compared to treatment with conventional in-center therapy. Adequately powered randomized clinical trials comparing extended-hours to conventional hemodialysis are required to confirm these findings.

Serum sclerostin: relation with mortality and impact of hemodiafiltration.

The glycoprotein sclerostin (Scl; 22 kDa), which is involved in bone metabolism, may play a role in vascular calcification in haemodialysis (HD) patients. In the present study, we investigated the relation between serum Scl (sScl) and mortality. The effects of dialysis modality and the magnitude of the convection volume in haemodiafiltration (HDF) on sScl were also investigated. In a subset of patients from the CONTRAST study, a randomized controlled trial comparing HDF with HD, sScl was measured at baseline and at intervals of 6, 12, 24 and 36 months. Patients were divided into quartiles, according to their baseline sScl. The relation between time-varying sScl and mortality with a 4-year follow-up period was investigated using crude and adjusted Cox regression models. Linear mixed models were used for longitudinal measurements of sScl. The mean (±standard deviation) age of 396 test subjects was 63.6 (±13.9 years), 61.6% were male and the median follow-up was 2.9 years. Subjects with the highest sScl had a lower mortality risk than those with the lowest concentrations [adjusted hazard ratio 0.51 (95% confidence interval, CI, 0.31-0.86, P = 0.01)]. Stratified models showed a stable sScl in patients treated with HD (Δ +2.9 pmol/L/year, 95% CI -0.5 to +6.3, P = 0.09) and a decreasing concentration in those treated with HDF (Δ -4.5 pmol/L/year, 95% CI -8.0 to -0.9, P = 0.02). The relative change in the latter group was related to the magnitude of the convection volume. (i) A high sScl is associated with a lower mortality risk in patients with end-stage kidney disease; (ii) treatment with HDF causes sScl to fall; and (iii) the relative decline in patients treated with HDF is dependent on the magnitude of the convection volume.

How to predict the risk of complication or death after radical cystectomy?

Radical cystectomy represents nowadays the gold standard in the treatment of localized muscle-invasive bladder cancer and high risk non-muscle-invasive bladder cancer. On the other hand, the rate of morbidity and mortality remains significant despite the advances in perioperative management and postoperative care in recent years [1]. This is even more expressed with the fact that firstly, we talk about a disease affecting eldery people and secondly, the population is aging. Comorbities, and thus the risk of a complication or death, come with age that implies consideration of bladder sparing treatment like radiochemotherapy or partial cystectomy in these patients [2]. EAU guidelines recommend using the Charleson Comorbidity Index as an independent prognostic factor for perioperative mortality [2]. POSSUM and P-POSSUM provide tools for risk adjustment to predict morbidity and mortality which were developed and validated within the general surgical population. A retrospective multicenter study from Japan [3] validated both predictors on 280 patients operated on within a period of 9 years. The authors came to somewhat non-convincing results. POSSUM significantly underestimated morbidity and overestimated mortality. Only P-POSSUM correctly predicted mortality, though the AUC was not that impressive (0.518). Nontheless, the authors concluded that POSSUM underestimated mortality in low-risk patients. This was explained, besides other things, by the fact that most of the low-risk patiens had diversion different to ureterocutaneostomy, which led to longer operative times and consequently to more complications and deaths. The main limitations of the study are the retrospective data collection, short follow-up of 30 days, and obvious selection bias (a strikingly high number of ureterocutaneostomies implicating a co-morbid population with signifiant risk of morbidity and mortality). However, in order to choose the right treatment for an individual patient with advanced bladder cancer, validation of existing predictors or the investigation of new tools becomes more and more important. To get a global view on the matter, not only refferal centers with multiple operations done within a year must take part. The most important factors are a prospective standardized approach to data collection, developing appropriate patient databases and registers and adequate follow-up [4].