Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes

Yan Bing† , Lei Yuan† , Ji Liu† , Zezhong Wang, Lifu Chen*, Jinhai Sun* and Lijuan Liu*

Department of Health Management, Naval Medical University, Shanghai, China

Purpose: To evaluate the overall health status and health-related abilities and problems of elderly patients with diabetes and multimorbidity compared with those with diabetes only. Additionally, we aimed to identify different subgroups of elderly, multimorbid patients with diabetes.

Methods: This cross-sectional study included 538 elderly patients with diabetes. The participants completed a series of questionnaires on self-rated health (SRH), diabetes self-management, self-efficacy, health literacy, depression, and diabetes distress. Differences in health-related abilities and problems were compared between elderly patients with diabetes and multimorbidity and those with diabetes only, with adjustments for covariates using propensity score matching. A cluster analysis was also performed to identify the overall health status subgroups of elderly, multimorbid patients with diabetes. Additionally, we  conducted a multinomial logistic regression analysis to examine the predictors of health related abilities and problem-cluster group membership.

Results: Elderly patients with diabetes and multimorbidity experienced more health-related abilities and problems than those with diabetes only, particularly within the domains of depression (p < 0.001), and diabetes distress. The level of health literacy (p < 0.001) and self-management (p = 0.013) in elderly, multimorbid patients with diabetes was also significantly higher than that in elderly patients with diabetes only. Cluster analysis of elderly, multimorbid patients with diabetes revealed three distinct overall health status clusters. Multinomial logistic regression analysis indicated that age (OR = 1.090, p = 0.043), sex (OR = 0.503, p = 0.024), living situation (OR = 2.769, p = 0.011), BMI (OR = 0.838, p = 0.034), regular exercise (OR = 2.912, p = 0.041 in poor vs. good; OR = 3.510, p < 0.001 in intermediate vs. good), and cerebral infarction (OR = 26.280, p < 0.001) independently and significantly predicted cluster membership.

Conclusion: Compared with elderly patients with diabetes only, those with diabetes and multimorbidity experienced more health-related abilities and problems within the domains of depression, and diabetes distress. Additionally, the level of health literacy and self-management in elderly, multimorbid patients with diabetes was significantly higher than that in those with diabetes only. Among the multimorbid diabetes group, old age, male sex, living without a partner, slightly lower BMIs, not exercising regularly, and experiencing cerebral infarctions were all positively correlated with worse overall health status.

KEYWORDS

multimorbidity, elderly, type 2 diabetes mellitus, overall health status, cluster group predictor

Pre- and Post-diagnosis Diabetes as a Risk Factor for All-Cause and Cancer-Specific Mortality in Breast, Prostate, and Colorectal Cancer Survivors: a Prospective Cohort Study

Huan Tao1 , Adrienne O’Neil 2,3, Yunseon Choi 4 , Wei Wang5 , Junfeng Wang6 , Yafeng Wang7 *, Yongqian Jia1 * and Xiong Chen8 *

1 Department of Hematology and Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, China, 2 The Centre for Innovation in Mental and Physical Health and Clinical Treatment, Deakin University, Geelong, VIC, Australia, 3 Melbourne School of Population and Global Health, University of Melbourne, Carlton, VIC, Australia, 4 Department of Radiation Oncology, Busan Paik Hospital, Inje University College of Medicine, Busan, South Korea, 5 School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China, 6 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands, 7 Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, China, 8 Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

Objective: The relationship between diabetes and all- and cause-specific mortality in individuals with common cancers (breast, colorectal, and prostate) remains both under-researched and poorly understood.

Methods: Cancer survivors (N = 37,993) from the National Health Interview Survey with linked data retrieved from the National Death Index served as our study participants. Cox proportional-hazards models were used to assess associations between pre- and post-diabetes and all-cause and cause-specific mortality.

Results: Over a median follow-up period of 13 years, 2,350 all-cause, 698 cancer, and 506 CVD deaths occurred. Among all cancer survivors, patients with diabetes had greater risk of: all-cause mortality [hazard ratio (HR) 1.35, 95% CI = 1.27–1.43], cancer-specific mortality (HR: 1.14, 95% CI = 1.03–1.27), CVD mortality (HR: 1.36, 95% CI = 1.18–1.55), diabetes related mortality (HR: 17.18, 95% CI = 11.51–25.64), and kidney disease mortality (HR: 2.51, 95% CI = 1.65–3.82), compared with individuals without diabetes. The risk of all-cause mortality was also higher amongst those with diabetes and specific types of cancer: breast cancer (HR: 1.28, 95% CI = 1.12–1.48), prostate cancer (HR: 1.20, 95% CI = 1.03–1.39), and colorectal cancer (HR: 1.29, 95% CI = 1.10–1.50). Diabetes increased the risk of cancer-specific mortality among colorectal cancer survivors (HR: 1.36, 95% CI = 1.04–1.78) compared to those without diabetes. Diabetes was associated with higher risk of diabetes-related mortality when compared to non-diabetic breast (HR: 9.20, 95% CI = 3.60–23.53), prostate (HR: 18.36, 95% CI = 6.01–56.11), and colorectal cancer survivors (HR: 12.18, 95% CI = 4.17–35.58). Both pre- and post-diagnosis diabetes increased the risk of all-cause mortality among all cancer survivors. Cancer survivors with diabetes had similar risk of all-cause and CVD mortality during the second 5 years of diabetes and above 10 years of diabetes as compared to non-diabetic patients.

Conclusions: Diabetes increased the risk of all-cause mortality among breast, prostate, and colorectal cancer survivors, not for pre- or post-diagnosis diabetes. Greater attention on diabetes management is warranted in cancer survivors with diabetes.

Keywords: diabetes, all-cause, cancer, cardiovascular disease, mortality, cohort study

Racial/ethnic and gender disparity in the severity of NAFLD among people with diabetes or prediabetes

Magda Shaheen1 *, Katrina M. Schrode1 , Marielle Tedlos 1 , Deyu Pan1 , Sonia M. Najjar 2 and Theodore C. Friedman1

1 Charles R. Drew University, Los Angeles, CA, United States, 2 Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, United States

Aim: Non-alcoholic fatty liver disease (NAFLD) exhibits a racial disparity. We examined the prevalence and the association between race, gender, and NAFLD among prediabetes and diabetes populations among adults in the United States.

Methods: We analyzed data for 3,190 individuals ≥18 years old from the National Health and Nutrition Examination Survey (NHANES) 2017-2018. NAFLD was diagnosed by FibroScan ® using controlled attenuation parameter (CAP) values: S0 (none) < 238, S1 (mild) = 238-259, S2 (moderate) = 260-290, S3 (severe) > 290. Data were analyzed using Chi-square test and multinomial logistic regression, adjusting for confounding variables and considering the design and sample

Results: Of the 3,190 subjects, the prevalence of NAFLD was 82.6%, 56.4%, and 30.5% (p < 0.0001) among diabetes, prediabetes and normoglycemia populations respectively. Mexican American males with prediabetes or diabetes had the highest prevalence of severe NAFLD relative to other racial/ethnic groups (p < 0.05). In the adjusted model, among the total, prediabetes, and diabetes populations, a one unit increase in HbA1c was associated with higher odds of severe NAFLD [adjusted odds ratio (AOR) = 1.8, 95% confidence level (CI) = 1.4-2.3, p < 0.0001; AOR = 2.2, 95% CI = 1.1-4.4, p = 0.033; and AOR = 1.5, 95% CI = 1.1-1.9, p = 0.003 respectively].

Conclusion: We found that prediabetes and diabetes populations had a high prevalence and higher odds of NAFLD relative to the normoglycemic population and HbA1c is an independent predictor of NAFLD severity in prediabetes and diabetes populations. Healthcare providers should screen prediabetes and diabetes populations for early detection of NAFLD and initiate treatments including lifestyle modification to prevent the progression to non-alcoholic steatohepatitis or liver cancer.

KEYWORDS

NAFLD severity, prediabetes, diabetes, NHANES 2017-2018, race/ethnicity, gender

Blood oxygen saturation is lower in persons with pre-diabetes and screen-detected diabetes compared with non-diabetic individuals: A population-based study of the Lolland-Falster Health Study cohort

Jens Christian Laursen1*, Randi Jepsen2 , Neda Esmailzadeh Bruun-Rasmussen2 , Marie Frimodt-Møller1 , Marit Eika Jørgensen3 , Peter Rossing1,4 and Christian Stevns Hansen1

1 Complications Research, Steno Diabetes Center Copenhagen, Herlev, Denmark,

2Center for Epidemiological Research, Nykøbing Falster Hospital, Nykøbing Falster, Denmark,

3Steno Diabetes Center Greenland, Nuuk, Greenland, 4Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark

Aims: Low blood oxygen saturation is associated with increased mortality and persons with diabetes have sub-clinical hypoxemia. We aimed to confirm the presence of sub-clinical hypoxemia in pre-diabetes, screen-detected diabetes and known diabetes.

Methods: Pre-diabetes was defined as hemoglobin A1C (HbA1C) ≥ 42 mmol/mol and <48 mmol/mol; known diabetes as history or treatment of diabetes; screen-detected diabetes as no history or treatment of diabetes and HbA1C ≥ 48 mmol/mol. Blood oxygen saturation was measured with pulse oximetry. Urine albumin-to creatinine ratio (UACR) was measured on a single spot urine.

Results: The study included 829 adults (≥18 years) with diabetes (713 (86%) with known diabetes; 116 (14%) with screen-detected diabetes) and 12,747 without diabetes (11,981 (94%) healthy controls; 766 (6%) with pre-diabetes). Mean (95% CI) blood oxygen saturation was 96.3% (96.3% to 96.4%) in diabetes which was lower than in non-diabetes [97.3% (97.2–97.3%)] after adjustment for age, gender, and smoking (p < 0.001), but significance was lost after adjustment for BMI (p = 0.25). Sub-groups with pre-diabetes and screen-detected diabetes had lower blood oxygen saturations than healthy controls (p-values < 0.01). Lower blood oxygen saturation was associated with higher UACR.

Conclusions: Persons with pre-diabetes and screen-detected diabetes have sub-clinical hypoxemia, which is associated with albuminuria.

KEYWORDS

hypoxia, microvascular complications, albuminuria, type 2 diabetes, pre-diabetes

Non-invasive type 2 diabetes risk scores do not identify diabetes when the cause is β-cell failure: The Africans in America study

Annemarie Wentzel1,2,3*, Arielle C. Patterson1 , M. Grace Duhuze Karera1,4,5, Zoe C. Waldman1 , Blayne R. Schenk1 , Christopher W. DuBose1 , Anne E. Sumner1,4 and Margrethe F. Horlyck-Romanovsky1,6*

1 Section on Ethnicity and Health, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States,

2 Hypertension in Africa Research Team, North-West University, Potchefstroom, South Africa, 3South African Medical Research Council, Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa, 4National Institute of Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States, 5 Institute of Global Health Equity Research, University of Global Health Equity, Kigali, Rwanda, 6Department of Health and Nutrition Sciences, Brooklyn College, City University of New York, New York, NY, United States

Background: Emerging data suggests that in sub-Saharan Africa β-cell-failure in the absence of obesity is a frequent cause of type 2 diabetes (diabetes). Traditional diabetes risk scores assume that obesity-linked insulin resistance is the primary cause of diabetes. Hence, it is unknown whether diabetes risk scores detect undiagnosed diabetes when the cause is β-cell-failure.

Aims: In 528 African-born Blacks living in the United States [age 38 ± 10 (Mean ± SE); 64% male; BMI 28 ± 5 kg/m2 ] we determined the: (1) prevalence of previously undiagnosed diabetes, (2) prevalence of diabetes due to β-cell-failure vs. insulin resistance; and (3) the ability of six diabetes risk scores [Cambridge, Finnish Diabetes Risk Score (FINDRISC), Kuwaiti, Omani, Rotterdam, and SUNSET] to detect previously undiagnosed diabetes due to either β-cell-failure or insulin resistance.

Methods: Diabetes was diagnosed by glucose criteria of the OGTT and/or HbA1c ≥ 6.5%. Insulin resistance was defined by the lowest quartile of the Matsuda index (≤2.04). Diabetes due to β-cell-failure required diagnosis of diabetes in the absence of insulin resistance. Demographics, body mass index (BMI), waist circumference, visceral adipose tissue (VAT), family medical history, smoking status, blood pressure, antihypertensive medication, and blood lipid profiles were obtained. Area under the Receiver Operator Characteristics Curve (AROC) estimated sensitivity and specificity of each continuous score. AROC criteria were: Outstanding: >0.90; Excellent: 0.80–0.89; Acceptable: 0.70–0.79; Poor: 0.50–0.69; and No Discrimination: 0.50.

Results: Prevalence of diabetes was 9% (46/528). Of the diabetes cases, β-cell-failure occurred in 43% (20/46) and insulin resistance in 57% (26/46). The β-cell-failure group had lower BMI (27 ± 4 vs. 31 ± 5 kg/m2 P < 0.001), lower waist circumference (91 ± 10 vs. 101 ± 10cm P < 0.001) and lower VAT (119 ± 65 vs. 183 ± 63 cm3 , P < 0.001). Scores had indiscriminate or poor detection of diabetes due to β-cell-failure (FINDRISC AROC = 0.49 to Cambridge AROC = 0.62). Scores showed poor to excellent detection of diabetes due to insulin resistance, (Cambridge AROC = 0.69, to Kuwaiti AROC = 0.81).

Conclusions:  At a prevalence of 43%, β-cell-failure accounted for nearly half of the cases of diabetes. All six diabetes risk scores failed to detect previously undiagnosed diabetes due to β-cell-failure while effectively identifyingdiabetes when the etiology was insulin resistance. Diabetes risk scores whichcorrectly classify diabetes due to B-cell-failure are urgently needed.

KEYWORDS

type 2 diabetes, risk score, African (Black) diaspora, β-cell failure, insulin resistance, diabetes screening

Implantable biomedical materials for treatment of bone infection

Wang Shuaishuai 1† , Zhu Tongtong1† , Wang Dapeng2 ,

Zhang Mingran1 , Wang Xukai 1 , Yu Yue1 , Dong Hengliang1 ,

Wu Guangzhi 1 * and Zhang Minglei 1 *

1 Department of Orthopedics, China-Japan Union Hospital of Jilin University, Changchun, China,

2 Department of Orthopedics, Siping Central Hospital, Siping, China

EDITED BY

Xiaoyuan Li,

Northeast Normal University, China

REVIEWED BY

Fuzeng Ren,

Southern University of Science and

Technology, China

Gong Cheng,

Harvard University, United States

Ruogu Qi,

Nanjing University of Chinese Medicine,

China

*CORRESPONDENCE

Wu Guangzhi,

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Zhang Minglei,

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†

These authors have contributed equally to this work

SPECIALTY SECTION

This article was submitted to Biomaterials, a section of the journal

Frontiers in Bioengineering and Biotechnology

RECEIVED 27 October 2022

ACCEPTED 18 January 2023

PUBLISHED 30 January 2023

CITATION

Shuaishuai W, Tongtong Z, Dapeng W, Mingran Z, Xukai W, Yue Y, Hengliang D, Guangzhi W and Minglei Z (2023), Implantable biomedical materials for treatment of bone infection.

Front. Bioeng. Biotechnol. 11:1081446.

doi: 10.3389/fbioe.2023.1081446

COPYRIGHT

© 2023 Shuaishuai, Tongtong, Dapeng, Mingran, Xukai, Yue, Hengliang, Guangzhi and Minglei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).

The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. 

The treatment of bone infections has always been difficult. The emergence of drugresistant bacteria has led to a steady decline in the effectiveness of antibiotics. It is also especially important to fight bacterial infections while repairing bone deffects and cleaning up dead bacteria to prevent biofilm formation. The development of biomedical materials has provided us with a research direction to address this issue.

We aimed to review the current literature, and have summarized multifunctional antimicrobial materials that have long-lasting antimicrobial capabilities that promote angiogenesis, bone production, or “killing and releasing.” This review provides a comprehensive summary of the use of biomedical materials in the treatment of bone infections and a reference thereof, as well as encouragement to perform further research in this field.

KEYWORDS

biological materials, bone infection, multifunctional material, implantable material, treatment of bone infection, progress of infection treatment, multifunctionalization of materials