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Aims: The primary objective of this registry-based study was to compare patient-reported outcomes of cementless and cemented medial unicompartmental knee arthroplasty (UKA) during the first postoperative year. The secondary objective was to assess one- and three-year implant survival of both fixation techniques. Methods: We analyzed 10,862 cementless and 7,917 cemented UKA cases enrolled in the Dutch Arthroplasty Registry, operated between 2017 and 2021. Pre- to postoperative change in outcomes at six and 12 months’ follow-up were compared using mixed model analyses. Kaplan-Meier and Cox regression models were applied to quantify differences in implant survival. Adjustments were made for patient-specific variables and annual hospital volume. Results: Change from baseline in the Oxford Knee Score (OKS) and activity-related pain was comparable between groups. Adjustment for covariates demonstrated a minimally greater decrease in rest-related pain in the cemented group (β = -0.09 (95% confidence interval (CI) -0.16 to -0.01)). Cementless fixation was associated with a higher probability of achieving an excellent OKS outcome (> 41 points) (adjusted odds ratio 1.2 (95% CI 1.1 to 1.3)). The likelihood of one-year implant survival was greater for cemented implants (adjusted hazard ratio (HR) 1.35 (95% CI 1.01 to 1.71)), with higher revision rates for periprosthetic fractures of cementless implants. During two to three years’ follow-up, the likelihood of implant survival was non-significantly greater for cementless UKA (adjusted HR 0.64 (95% CI 0.40 to 1.04)), primarily due to increased revision rates for tibial loosening of cemented implants. Conclusion: Cementless and cemented medial UKA led to comparable improvement in physical function and pain reduction during the initial postoperative year, albeit with a greater likelihood of achieving excellent OKS outcomes after cementless UKA. Anticipated differences in early physical function and pain should not be a decisive factor in the choice of fixation technique. However, surgeons should consider the differences in short- and long-term implant survival when deciding which implant to use. Cite this article: Bone Jt Open 2024;5(5):401–410.

Aims: The optimal choice of management for proximal humerus fractures (PHFs) has been increasingly discussed in the literature, and this work aimed to answer the following questions: 1) what are the incidence rates of PHF in the geriatric population in the USA; 2) what is the mortality rate after PHF in the elderly population, specifically for distinct treatment procedures; and 3) what factors influence the mortality rate? Methods: PHFs occurring between 1 January 2009 and 31 December 2019 were identified from the Medicare physician service records. Incidence rates were determined, mortality rates were calculated, and semiparametric Cox regression was applied, incorporating 23 demographic, clinical, and socioeconomic covariates, to compare the mortality risk between treatments. Results: From 2009 to 2019, the incidence decreased by 11.85% from 300.4 cases/100,000 enrollees to 266.3 cases/100,000 enrollees, although this was not statistically significant (z = -1.47, p = 0.142). In comparison to matched Medicare patients without a PHF, but of the same five-year age group and sex, a mean survival difference of -17.3% was observed. The one-year mortality rate was higher after nonoperative treatment with 16.4% compared to surgical treatment with 9.3% (hazard ratio (HR) = 1.29, 95% confidence interval (CI) 1.23 to 1.36; p < 0.001) and to shoulder arthroplasty with 7.4% (HR = 1.45, 95% CI 1.33 to 1.58; p < 0.001). Statistically significant mortality risk factors after operative treatment included age older than 75 years, male sex, chronic obstructive pulmonary disease (COPD), cerebrovascular disease, chronic kidney disease, a concomitant fracture, congestive heart failure, and osteoporotic fracture. Conclusion: Mortality risk factors for distinct treatment modes after PHF in elderly patients could be identified, which may guide clinical decision-making. Cite this article: Bone Joint Res 2023;12(2):103–112.

In this paper, a new Bayesian stochastic cure rate model, based on the individual frailty as the total number of descendent cells of each damaged cell (known as the volume of the tumor) up to specific time and the repair mechanism (known as the destructive mechanism), is formulated as a superposition of pure-birth stochastic processes (Yule processes). The proposed model deals with combined modeling of long-term effects (cure rate) and short-term effects (tumor growth) which can be regarded as a Bayesian alternative to the Cox regression and promotion cure rate models when the proportional hazards assumption is violated, such as in the case of crossing survival functions. A simulation study and an application to a melanoma data, using the Bayesian RStan package, are provided to illustrate the usefulness of the proposed model and also to evaluate the impact of cancer treatment over the long-term effect and the progression stage of the tumor (tumor growth). Besides this interesting new biological interpretation of the tumor growth, the model can be viewed as an extended Bayesian version of the destructive cure rate model of Rodrigues et al. and an alternative to the two-sample semiparametric model of Yang and Prentice. [ABSTRACT FROM AUTHOR]

Background: Hemodialysis (HD) represents the main way of renal replacement therapy (RRT) for end-stage renal disease (ESRD) patients in Iran. Few studies have investigated the survival of HD patients in Iran. Objectives: This study conducted to reach better understanding predictors of survival for HD patients. Patients and Methods: This is a retrospective cohort study conducted in 1142 HD patients in Hamadan province during 11 years from 2007 to 2017. The checklist used to gather information was comprised of patient’s demographic and clinical information. The analysis was carried out using Laplace regression and Cox regression model. Results: The most prevalent causes of ESRD were reported to be high blood pressure (BP) (28.9%) and diabetes (24.34%). The probability of survival at the end of 1st, 5th, and 10th year was 0.81, 0.4 and 0.13, respectively. Results of multivariate Cox regression showed that being rural dweller, low albumin, ferritin and hemoglobin level and having positive CRP at diagnosis have a negative significant impact on survival of HD patients (P < 0.05). Conclusions: Being rural dweller, low albumin and hemoglobin level and having positive CRP at diagnosis amongst other factors were possible factors affecting the survival of HD patients in this study. Considering the low survival probability of these patients, efforts should be made to real-time diagnosis of the cause of renal diseases.

The article offers information on the association between depressive symptoms and arthritis. Topics include a cross‑sectional general population study estimated the association between depressive symptoms and physical diseases; and depression develop because of environmental or genetic factors that alter the immune and inflammatory process.

Background: Hemodialysis (HD) is one of the treatments provided to end-stage renal disease (ESRD) patients. A few studies have investigated the survival rate of HD patients in Iran. Hence, we decided to investigate the survival rate and it is predictors among Iranian ESRD patients. Methods: This is a retrospective cohort study conducted in 165 HD patients in Tuyserkan city (Hamadan province) during 20 years from 1996 to 2015. The checklist used to gather information was comprised of patients' demographic and clinical information. The analysis was performed using Kaplan-Meier curves, log-rank test, and cox regression model. Results: The most prevalent cause of ESRD was reported to be high blood pressure (32.7%). The probability of survival rate at the end of 1st, 5th, and 10th year was 0.65, 0.16, and 0.05, respectively. Results of multivariate cox regression showed that old age, catheter vascular access, and high hemoglobin level have a negative significant effect on survival of HD patients (P < 0.05). Conclusions: Overall, the survival of HD patients seems to be low in Tuyserkan as compared to other studies. Age, ESRD cause, vascular access, marital status, and hemoglobin level among other factors are proved to have a significant effect on survival probability. [ABSTRACT FROM AUTHOR]

Highlights • A study exploring factors predicting re-hospitalization for bipolar mania. • Cox proportional hazard regression model is used to identify factors. • Psychotic features and more previous hospitalizations were risk factors. • Discharge against medical advice is also risky for re-hospitalization. • Remission at discharge is protective. Abstract Patients with bipolar mania often require re-hospitalization, which can be a social-economic burden. This study aimed to investigate the factors affecting time to re-hospitalization for inpatients with acute bipolar mania. In this 6-year naturalistic study we reviewed the charts of inpatients with acute bipolar mania. Potential dichotomous factors including sex, family history of affective disorder, suicide history, and discharge against medical advice, involuntary admission, psychotic features, substance use disorder, and remission at discharge were recorded. Continuous variables including age, age at onset of affective episodes, and number of previous hospitalizations were also recorded. We used survival analysis with a univariate Cox proportional hazard regression model, along with forward multivariate model, to identify the potential factors. Of the 165 patients, 23% achieved symptomatic remission at discharge. In the forward Cox model, psychotic features, discharge against medical advice and higher number of previous hospitalizations were significant risk factors for re-admission. Remission at discharge was significantly associated with preventing re-hospitalization. We identified several predictors for re-hospitalization among inpatients with bipolar mania. Further studies are needed in other real-world settings to validate our results. [ABSTRACT FROM AUTHOR]

Background: Hemodialysis (HD) represents the main way of renal replacement therapy (RRT) for end-stage renal disease (ESRD) patients in Iran. Few studies have investigated the survival of HD patients in Iran. Objectives: This study conducted to reach better understanding predictors of survival for HD patients. Patients and Methods: This is a retrospective cohort study conducted in 1142 HD patients in Hamadan province during 11 years from 2007 to 2017. The checklist used to gather information was comprised of patient's demographic and clinical information. The analysis was carried out using Laplace regression and Cox regression model. Results: The most prevalent causes of ESRD were reported to be high blood pressure (BP) (28.9%) and diabetes (24.34%). The probability of survival at the end of 1st, 5th, and 10th year was 0.81, 0.4 and 0.13, respectively. Results of multivariate Cox regression showed that being rural dweller, low albumin, ferritin and hemoglobin level and having positive CRP at diagnosis have a negative significant impact on survival of HD patients (P < 0.05). Conclusions: Being rural dweller, low albumin and hemoglobin level and having positive CRP at diagnosis amongst other factors were possible factors affecting the survival of HD patients in this study. Considering the low survival probability of these patients, efforts should be made to real-time diagnosis of the cause of renal diseases. [ABSTRACT FROM AUTHOR]

Background: Hemodialysis (HD) is one of the treatments provided to end-stage renal disease (ESRD) patients. A few studies have investigated the survival rate of HD patients in Iran. Hence, we decided to investigate the survival rate and it is predictors among Iranian ESRD patients. Methods: This is a retrospective cohort study conducted in 165 HD patients in Tuyserkan city (Hamadan province) during 20 years from 1996 to 2015. The checklist used to gather information was comprised of patients' demographic and clinical information. The analysis was performed using Kaplan–Meier curves, log-rank test, and cox regression model. Results: The most prevalent cause of ESRD was reported to be high blood pressure (32.7%). The probability of survival rate at the end of 1st, 5th, and 10th year was 0.65, 0.16, and 0.05, respectively. Results of multivariate cox regression showed that old age, catheter vascular access, and high hemoglobin level have a negative significant effect on survival of HD patients (P < 0.05). Conclusions: Overall, the survival of HD patients seems to be low in Tuyserkan as compared to other studies. Age, ESRD cause, vascular access, marital status, and hemoglobin level among other factors are proved to have a significant effect on survival probability.

Background: Previous studies have shown that compared with abstinence and heavy drinking, moderate alcohol consumption is associated with a reduced risk of mortality among the general population and patients with heart failure and myocardial infarction. We examined the association between alcohol consumption and mortality in coronary artery bypass graft (CABG) patients. Method: We studied 1,919 first-time CABG patients using data on alcohol consumption and mortality obtained from Danish national registers from March 2006 to October 2011. Alcohol consumption was divided into the following groups: abstainers (0 units/week), moderate consumers (1-14 units/week), moderate-heavy drinkers (15-21 units/week) and heavy drinkers (>21 units/week). Hazard ratios (HR) of all-cause mortality were calculated using Cox proportional hazard regression analysis. Results: The median follow-up was 2.2 years [IQR 2.0]. There were 112 deaths, of which 96 (86 %) were classified as cardiovascular. Adjustments for age and sex showed no increased risk of all-cause mortality for the abstainers (HR 1.61, 95 % CI, 1.00-2.58) and moderate-heavy drinkers (HR 1.40, 95 % CI, 0.73-2.67) compared with moderate consumers. However, heavy drinkers had a high risk of all-cause mortality compared with moderate consumers (HR 2.44, 95 % CI, 1.47-4.04). A full adjustment showed no increase in mortality for the abstainers (HR 1.59, 95 % CI, 0.98-2.57) and moderate-heavy drinkers (HR 1.68, 95 % CI, 0.86-3.29), while heavy drinkers were associated with an increased mortality rate (HR 1.88, 95 % CI, 1.10-3.21). There was no increased risk of 30-day mortality for the abstainers (HR 0.74, 95 % CI, 0.23-2.32), moderate-heavy drinkers (HR 0.36, 95 % CI, 0.07-1.93) and heavy drinkers (HR 2.20, 95 % CI, 0.65-7.36). Conclusion: There was no increased risk of mortality for abstainers (0 units/week) or moderate-heavy drinkers (15-21 units/week) following a CABG. Only heavy drinking (>21 units/week) were significantly associated with an increased mortality rate. These results suggest that only heavy drinking present a risk factor among CABG patients. [ABSTRACT FROM AUTHOR]

Aims: The optimal choice of management for proximal humerus fractures (PHFs) has been increasingly discussed in the literature, and this work aimed to answer the following questions: 1) what are the incidence rates of PHF in the geriatric population in the USA; 2) what is the mortality rate after PHF in the elderly population, specifically for distinct treatment procedures; and 3) what factors influence the mortality rate?, Methods: PHFs occurring between 1 January 2009 and 31 December 2019 were identified from the Medicare physician service records. Incidence rates were determined, mortality rates were calculated, and semiparametric Cox regression was applied, incorporating 23 demographic, clinical, and socioeconomic covariates, to compare the mortality risk between treatments., Results: From 2009 to 2019, the incidence decreased by 11.85% from 300.4 cases/100,000 enrollees to 266.3 cases/100,000 enrollees, although this was not statistically significant (z = -1.47, p = 0.142). In comparison to matched Medicare patients without a PHF, but of the same five-year age group and sex, a mean survival difference of -17.3% was observed. The one-year mortality rate was higher after nonoperative treatment with 16.4% compared to surgical treatment with 9.3% (hazard ratio (HR) = 1.29, 95% confidence interval (CI) 1.23 to 1.36; p < 0.001) and to shoulder arthroplasty with 7.4% (HR = 1.45, 95% CI 1.33 to 1.58; p < 0.001). Statistically significant mortality risk factors after operative treatment included age older than 75 years, male sex, chronic obstructive pulmonary disease (COPD), cerebrovascular disease, chronic kidney disease, a concomitant fracture, congestive heart failure, and osteoporotic fracture., Conclusion: Mortality risk factors for distinct treatment modes after PHF in elderly patients could be identified, which may guide clinical decision-making.Cite this article: Bone Joint Res  2023;12(2):103-112.

Current standard of care therapy for diffuse large B-cell lymphoma (DLBCL) cures a majority of patients with additional benefit in salvage therapy and autologous stem cell transplant for patients who relapse. The next generation of prognostic models for DLBCL aims to more accurately stratify patients for novel therapies and risk-adapted treatment strategies. This review discusses the significance of host genetic and tumor genomic alterations seen in DLBCL, clinical and epidemiologic factors, and how each can be integrated into risk stratification algorithms. In the future, treatment prediction and prognostic model development and subsequent validation will require data from a large number of DLBCL patients to establish sufficient statistical power to correctly predict outcome. Novel modeling approaches can augment these efforts. [ABSTRACT FROM AUTHOR]

Proportional hazard Cox regression models are overwhelmingly used for analyzing time-dependent outcomes. Despite their associated hazard ratio is a valuable index for the difference between populations, its strong dependency on the underlying assumptions makes it a source of misinterpretation. Recently, a number of works have dealt with the subtleties and limitations of this interpretation. Besides, a number of alternative indices and different Cox-type models have been proposed. In this work, we use synthetic data, motivated by a real-world problem, for showing the strengths and weaknesses of some of those methods in the analysis of time-dependent outcomes. We use the power of synthetic data for considering observable results but also utopian designs.

Background: Previous studies have shown that compared with abstinence and heavy drinking, moderate alcohol consumption is associated with a reduced risk of mortality among the general population and patients with heart failure and myocardial infarction. We examined the association between alcohol consumption and mortality in coronary artery bypass graft (CABG) patients., Method: We studied 1,919 first-time CABG patients using data on alcohol consumption and mortality obtained from Danish national registers from March 2006 to October 2011. Alcohol consumption was divided into the following groups: abstainers (0 units/week), moderate consumers (1-14 units/week), moderate-heavy drinkers (15-21 units/week) and heavy drinkers (>21 units/week). Hazard ratios (HR) of all-cause mortality were calculated using Cox proportional hazard regression analysis., Results: The median follow-up was 2.2 years [IQR 2.0]. There were 112 deaths, of which 96 (86 %) were classified as cardiovascular. Adjustments for age and sex showed no increased risk of all-cause mortality for the abstainers (HR 1.61, 95 % CI, 1.00-2.58) and moderate-heavy drinkers (HR 1.40, 95 % CI, 0.73-2.67) compared with moderate consumers. However, heavy drinkers had a high risk of all-cause mortality compared with moderate consumers (HR 2.44, 95 % CI, 1.47-4.04). A full adjustment showed no increase in mortality for the abstainers (HR 1.59, 95 % CI, 0.98-2.57) and moderate-heavy drinkers (HR 1.68, 95 % CI, 0.86-3.29), while heavy drinkers were associated with an increased mortality rate (HR 1.88, 95 % CI, 1.10-3.21). There was no increased risk of 30-day mortality for the abstainers (HR 0.74, 95 % CI, 0.23-2.32), moderate-heavy drinkers (HR 0.36, 95 % CI, 0.07-1.93) and heavy drinkers (HR 2.20, 95 % CI, 0.65-7.36)., Conclusion: There was no increased risk of mortality for abstainers (0 units/week) or moderate-heavy drinkers (15-21 units/week) following a CABG. Only heavy drinking (>21 units/week) were significantly associated with an increased mortality rate. These results suggest that only heavy drinking present a risk factor among CABG patients.