Hyperglycemia is associated with poor survival in primary central nervous system lymphoma patients

The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin's lymphoma-an observational study

BACKGROUND

The relationship between obesity and non-Hodgkin's lymphoma (NHL) was controversial, which may be due to the crudeness definition of obesity based on body mass index (BMI). As obesity and metabolic abnormalities often coexist, we aimed to explore whether the classification of obesity based on metabolic status can help to evaluate the real impact of obesity on the readmission of NHL.

METHODS

In this retrospective cohort study, utilizing the 2018 Nationwide Readmissions Database, we identified NHL-related index hospitalizations and followed them for non-elective readmission. The patients with NHL were classified as metabolically healthy non-obese (MHNO) and obese (MHO) and metabolically unhealthy non-obese (MUNO) and obese (MUO). Readmission rates for each phenotype were calculated at 30-day intervals. Multiple COX regression was used to analyze the association of metabolic-defined obesity with 30-day, 90-day, and 180-day readmission rates in patients with NHL.

RESULTS

There were 22,086 index hospitalizations with NHL included. In the multivariate COX regression, MUNO was associated with increased 30-day (HR = 1.113, 95% CI 1.036-1.195), 90-day (HR = 1.148, 95% CI 1.087-1.213), and 180-day readmission rates (HR = 1.132, 95% CI 1.077-1.189), and MUO was associated with increased 30-day (HR=1.219, 95% CI: 1.081-1.374), 90-day (HR = 1.228, 95% CI 1.118-1.348), and 180-day readmission rates (HR = 1.223, 95% CI 1.124-1.33), while MHO had no associations with readmission rates.

CONCLUSIONS

The presence of metabolic abnormalities with or without obesity increased the risk of non-selective readmission in patients with NHL. However, obesity alone had no associations with the risk of non-selective readmission, suggesting that interventions for metabolic abnormalities may be more important in reducing readmissions of NHL patients.

Extranodal lymphoma: pathogenesis, diagnosis and treatment

Approximately 30% of lymphomas occur outside the lymph nodes, spleen, or bone marrow, and the incidence of extranodal lymphoma has been rising in the past decade. While traditional chemotherapy and radiation therapy can improve survival outcomes for certain patients, the prognosis for extranodal lymphoma patients remains unsatisfactory. Extranodal lymphomas in different anatomical sites often have distinct cellular origins, pathogenic mechanisms, and clinical manifestations, significantly influencing their diagnosis and treatment. Therefore, it is necessary to provide a comprehensive summary of the pathogenesis, diagnosis, and treatment progress of extranodal lymphoma overall and specifically for different anatomical sites. This review summarizes the current progress in the common key signaling pathways in the development of extranodal lymphomas and intervention therapy. Furthermore, it provides insights into the pathogenesis, diagnosis, and treatment strategies of common extranodal lymphomas, including gastric mucosa-associated lymphoid tissue (MALT) lymphoma, mycosis fungoides (MF), natural killer/T-cell lymphoma (nasal type, NKTCL-NT), and primary central nervous system lymphoma (PCNSL). Additionally, as PCNSL is one of the extranodal lymphomas with the worst prognosis, this review specifically summarizes prognostic indicators and discusses the challenges and opportunities related to its clinical applications. The aim of this review is to assist clinical physicians and researchers in understanding the current status of extranodal lymphomas, enabling them to make informed clinical decisions that contribute to improving patient prognosis.

Diabetes and the Prognosis in Patients With Non-Hodgkin Lymphoma: A Meta-analysis of Cohort Studies

BACKGROUND

Consensus lacks regarding the association between diabetes mellitus (DM) and the prognosis of patients with non-Hodgkin lymphoma (NHL). We aimed to systematically evaluate the above association, as well as the potential influence of metformin use in a meta-analysis of cohort studies.

MATERIALS AND METHODS

Cohort studies investigating the association between DM and survival outcomes of patients with NHL were included by search of electronic databases that included PubMed, Embase, and Web of Science. A random-effects model was adopted to combine the results.

RESULTS

Eight cohort studies including 8652 patients with NHL were analyzed. Compared to non-DM patients with NHL, DM was associated with poor overall survival (OS, hazard ratio [HR] = 1.49, 95% confidence interval [CI]: 1.18-1.89, P < .001, I² = 69%), progression-free survival (PFS, HR = 1.30, 95% CI: 1.09-1.56, P = .004, I² = 0%), and lymphoma-specific survival (LSS, HR = 1.86, 95% CI: 1.41-2.45, P < .001, I² = 0%). Subgroup analysis showed consistent results in patients with diffuse large B-cell lymphoma (DLBCL, HR = 1.42, 1.35, and 1.95 for outcomes of OS, PFS, and LSS, respectively; P values all <.05). However, the associations between DM and these survival outcomes became nonsignificant in subgroup analysis limited to DM patients with concurrent use of metformin (HR = 1.30, 1.12, and 1.43 for outcomes of OS, PFS, and LSS, respectively; P values all > .10).

CONCLUSIONS

DM is associated with poor survival outcomes in patients with B-cell NHL, which is consistent in patients with DLBCL. Concurrent metformin use in DM patients with NHL may be associated with improved survival outcomes.

[The prognostic impact of diabetic mellitus and hyperglycemia during DLBCL treatment on patients with diffuse large B-cell lymphoma]

Objective: This study aims to investigate the clinical features and prognostic factors of patients with diffuse large B-cell lymphoma (DLBCL) and assess the prognostic value of diabetes mellitus (DM) and hyperglycemia during DLBCL treatment in DLBCL. Methods: The clinical data of 481 newly diagnosed DLBCL patients from January 1, 2009 to December 31, 2019 at Tianjin Medical University Cancer Institute and Hospital and Sun Yat-sen University Cancer Center were retrospectively collected, focusing on their blood glucose levels before and during treatment. Cox regression method was used for univariate analysis to assess prognostic factors, and the Kaplan-Meier method was used to draw survival curves to assess the prognostic value of DM and hyperglycemia during DLBCL treatment in patients with DLBCL. Results: Eighty-two (17.0%) patients had DM before DLBCL diagnosis and treatment, and 88 (18.3%) patients had at least one blood glucose increase during DLBCL treatment. Cox univariate analysis showed that age, Ann Arbor stage, international prognostic index, and DM were associated with overall survival (OS) and progression-free survival (PFS) (all P<0.05) . The pairwise comparison between the two groups showed that the OS (P=0.001) and PFS (P<0.001) of patients with pre-existing DM were significantly worse than those of patients without abnormal blood glucose. Moreover, the OS (P=0.003) and PFS (P<0.001) of patients with hyperglycemia during DLBCL treatment were significantly worse than those of patients without abnormal blood glucose. No significant difference exists between patients with DM and patients with hyperglycemia during DLBCL treatment (OS, P=0.557; PFS, P=0.463) . Additionally, patients with adequate glycemic control during chemotherapy had a better prognosis compared with patients with poor glycemic control (OS, P=0.037; PFS, P=0.007) . Conclusion: DM is an important factor affecting the prognosis of patients with DLBCL. Moreover, hyperglycemia during treatment is related to the poor prognosis of patients with DLBCL.

Predicting 72-h mortality in patients with extremely high random plasma glucose levels: A case-controlled cross-sectional study

The risk factors associated with 72-hours mortality in patients with extremely high levels of random plasma glucose (RPG) remain unclear.To explore the risk factors predictive of 72-hours mortality in patients with extremely high RPG under heterogenos pathophysiological conditions.Retrospective, single-center, case-controlled cross-sectional study.University teaching hospital.Adults over age 18 were selected from the medical records of patients at the Saitama Medical Center, Japan, from 2004 to 2013.Extremely high RPG (≥500 mg/dl).Mortality at 72 hours following the RPG test, regardless of hospitalization or in an outpatient setting. Multivariate logistic regression analysis was performed with adjustment for age, sex, body mass index (BMI), and RPG level. The final prediction model was built using the logistic regression model with a higher C-statistic, specificity, and sensitivity.A total of 351 patients with RPG ≥500 mg/dl were identified within the 10-year period. The 72-hours mortality rate was 16/351 (4.6%). The C-statistics of the 72-hours mortality prediction model with serum albumin (ALB) and creatine kinase (CK) was 0.856. The probability of 72-hours mortality was calculated as follows: 1/[1 + exp (-5.142 + 0.901log (CK) -1.087 (ALB) + 0.293 (presence (1) or absence (0) of metastatic solid tumor)]. The sensitivity and specificity of this model was 75.5%.The independent risk factors associated with 72-hours mortality in patients with RPG ≥500 mg/dl are hypoalbuminemia, elevated CK, and presence of a metastatic solid tumour. Further research is needed to understand the mechanisms and possible interventions to prevent mortality associated with extremely high RPG.