Role of BMI and age in predicting pathologic vertebral fractures in newly diagnosed multiple myeloma patients: A retrospective cohort study.

Vertebral fractures affect approximately 30% of myeloma patients and lead to a poor impact on survival and life quality. In general, age and body mass index (BMI) are reported to have an important role in vertebral fractures. However, the triangle relationship among age, BMI, and vertebral fractures is still unclear in newly diagnosed multiple myeloma (NDMM) patients. This study recruited consecutive 394 patients with NDMM at Taipei Veterans General Hospital between January 1, 2005 and December 31, 2015. Risk factors for vertebral fractures in NDMM patients were collected and analyzed. The survival curves were demonstrated using Kaplan-Meier estimate. In total, 301 (76.4%) NDMM patients were enrolled in the cohort. In the median follow-up period of 18.0 months, the median survival duration in those with vertebral fractures ≥ 2 was shorter than those with vertebral fracture < 2 (59.3 vs 28.6 months; P = 0.017). In multivariate Poisson regression, BMI < 18.5 kg/m2 declared increased vertebral fractures compared with BMI ≥ 24.0 kg/m2 (adjusted RR, 2.79; 95% CI, 1.44-5.43). In multivariable logistic regression, BMI < 18.5 kg/m2 was an independent risk factor for vertebral fractures ≥ 2 compared with BMI ≥ 24.0 kg/m2 (adjusted OR, 6.05; 95% CI, 2.43-15.08). Among age stratifications, patients with both old age and low BMI were at a greater risk suffering from increased vertebral fractures, especially in patients > 75 years and BMI < 18.5 kg/m2 (adjusted RR, 12.22; 95% CI, 3.02-49.40). This is the first study that demonstrated that age had a significant impact on vertebral fractures in NDMM patients with low BMI. Elder patients with low BMI should consider to routinely receive spinal radiographic examinations and regular follow-up.

Risk of stroke in patients with newly diagnosed multiple myeloma: a retrospective cohort study.

Cerebrovascular events are a common complication among patients with cancer, increasing morbidity and mortality. However, the association between multiple myeloma and cerebrovascular events remains unclear. We therefore investigated multiple myeloma patients' risk factors for stroke to devise a better stroke-prevention strategy. This study includes consecutive patients 20 years and older who were newly diagnosed with symptomatic multiple myeloma at Taipei Veterans General Hospital, a tertiary medical center, between January 1, 2002 and December 31, 2014. The primary outcome was stroke development. Patients with head injuries, brain tumors, brain parenchymal invasions, or antecedent malignancies were excluded. Hazard ratios (HRs) of stroke risk factors for multiple myeloma patients were estimated by Cox proportional regression analysis. Overall, 395 patients with a median age of 70 years were investigated. In the median follow-up period of 18 months, cerebrovascular events occurred in 16 patients, including 10 ischemic strokes and 6 hemorrhagic strokes. The 5-year estimated cumulative incidence rate was 7.45%. In the multivariate analysis, the κ light chain isotype (adjusted HR, 8.37; 95% confidence interval [CI], 1.91-39.8), previous cerebrovascular accidents (adjusted HR, 5.16; 95% CI, 1.48-17.9), and serum creatinine > 2 mg/dL (adjusted HR, 4.21; 95% CI, 1.10-16.0) were identified as independent risk factors for stroke. Subgroup analysis showed that atrial fibrillation (adjusted HR, 8.07) and previous cerebrovascular accident (adjusted HR, 4.89) are significant risk factors for ischemic stroke. Serum creatinine > 2 mg/dL (adjusted HR, 30.6) and previous cerebrovascular accident (adjusted HR, 13.9) are significant for hemorrhagic stroke. Moreover, therapeutic strategies for multiple myeloma were not associated with stroke in our study. This study demonstrates that risk of stroke increases in myeloma patients with a κ light chain isotype, previous cerebrovascular events, and renal impairment. Further prospective clinical studies to clarify the relationship between multiple myeloma and stroke are warranted.

Gastrointestinal bleeding is associated with higher in-hospital mortality, longer length of stay and higher cost in patients with in-hospital cardiac arrest.

BACKGROUND: In-hospital cardiac arrest (IHCA) carries a high mortality and significant morbidity in survivors. Gastrointestinal bleeding (GIB) can complicate cardiac arrests. We aim to study the association between GIB and the in-hospital outcomes of patients with IHCA. METHODS AND RESULTS: The National Inpatient Sample 2016-2018 databases were used. IHCA were identified using ICD-10-PCS code for cardiopulmonary resuscitation. Other diagnoses including GIB were identified using ICD-10-CM codes. Multivariate logistic regression was used to study the effect of GIB on in-hospital mortality. Gamma regression with log link was used to determine the effect of GIB on length of stay and cost of admission. In patients with IHCA, GIB as a secondary diagnosis is associated with an increased in hospital mortality (unadjusted 74.2% vs 68.3%, adjusted OR 1.17, 95% confidence interval [CI] 1.09-1.25, p < 0.001), longer length of stay (unadjusted median 16 vs 10 days, IQR 9-27 vs 5-17 days, exponentiated coefficient 1.45, 95% CI 1.36-1.54, p < 0.001 for survivors; unadjusted median 4 vs 3 days, IQR 1-10 vs 1-7 days, exponentiated coefficient 1.27, 95% CI 1.22-1.34, p < 0.001 for patients who died in hospital), and higher cost for hospital stay (unadjusted median $226065 vs $151459, IQR $117551-434003 vs $76197-287846, exponentiated coefficient 1.40, 95% CI 1.32-1.49, p < 0.001 for survivors; unadjusted median $87996 vs $77056, IQR $42566-186677 vs $34066-149009, exponentiated coefficient 1.26, 95% CI 1.20-1.32, p < 0.001 for patients who died in hospital) adjusted for baseline characteristics and other comorbidities. CONCLUSIONS: In patients with IHCA, GIB as a secondary diagnosis is associated with a higher in-hospital mortality, longer length of stay and higher cost for the admission.

Effects of Proton Pump Inhibitors on Glycemic Control and Incident Diabetes: A Systematic Review and Meta-analysis.

CONTEXT: Whether proton pump inhibitors (PPI) can improve glycemic control among individuals with diabetes or decrease the risk of incident diabetes in the general population is unclear. OBJECTIVE: To evaluate the impact of PPI therapy on glycemic control among individuals with diabetes and the risk of diabetes among those without diabetes. RESULTS: PubMed, Embase, Scopus, and ClinicalTrials.gov were searched from inception to November 21, 2020. We included studies comparing glycosylated hemoglobin (HbA1c) or fasting blood glucose (FBG) among individuals with diabetes treated with and without PPI therapy as an add-on to standard therapy. Studies evaluating the risk of incident diabetes among individuals taking PPI were assessed. We performed dual independent review, data extraction, and quality assessment. Weighted mean differences between groups or relative risks were imputed using random-effects models. RESULTS: Seven studies (n = 342) for glycemic control and 5 studies (n = 244 439) for risk of incident diabetes were included. Compared with standard therapy, add-on PPI was associated with a significant decrease in HbA1c (WMD, -0.36 %; 95% CI, -0.68 to -0.05; P = 0.025) and FBG (WMD, -10.0 mg/dL; 95% CI, -19.4 to -0.6; P = 0.037). PPI use did not reduce the risk of incident diabetes (pooled RR, 1.10; 95% CI, 0.89 to 1.34; P = 0.385). CONCLUSION: Add-on PPI improved glycemic indices among individuals with diabetes but did not alter the risk of incident diabetes. The effects of PPI on glycemic control should be considered when prescribing antacids to patients with diabetes.