Factors Associated With Callus in Patients with Diabetes, Focused on Plantar Shear Stress During Gait

Introduction: Hyperuricemia is common Type 2 diabetes at very high cardiovascular risk. Objective: Evaluate the relationship between hyperuricemia and diabetes type 2, and determine its predictive factors in this population. Patients and Methods: Retrospective study cross including 190 patients with diabetes type 2 hospitalized Service of Endocrinology of CHU Ibn Rushd Casablanca from January 2015 to December 2017. Hyperuricemia was defined as a serum uric acid concentration> 70 mg/L (men) and> 60 mg/L (women). The variables studied were the anthropometric measurements), cardiovascular factors (tobacco, hypertension, dyslipidemia), and degenerative complications (retinopathy, neuropathy, kidney failure, ischemic heart disease). The analyzes were performed by SPSS software. Results: Hyperuricemia was found in 26.5% of patients with a female predominance (76%), an average age of 55.9 years, and an average age of 12.4ans diabetes. The glycemic control was found in 84.6% of cases with mean glycated hemoglobin 8.6%. Factors associated al hyperuricemia were the blood pressure in 86% (p <0.05), dyslipidemia in 76.3% of cases (p <0.001) with hypertriglyceridemia in 48.3% of cases (p <0.02), and a hypoHDLémie 28% (p <0.001). The age, obesity, smoking, and glycemic control were associated significantly n al hyperuricemia. The research of degenerative complications of hyperuricemia has objectified renal impairment (GFR between 15 and 60ml / min) chez47% (p <0.001), it was kind of moderate in 35.8% (p <0.01) and severe in 5.1% (p <0.02), ischemic heart disease was found in 34% of cases (p <0.01). Conclusion: In our study, hyperuricemia in type 2 diabetes is common in female patients, especially with hypertension, dyslipidemia, and renal failure. Other factors such as age, obesity, smoking is not associated with hyperuricemia in type 2 diabetics.

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Necrotizing Soft-Tissue Infections in the Feet of Patients With Diabetes: Outcome of Surgical Treatment and Factors Associated With Limb Loss and Mortality

The International Journal of Lower Extremity Wounds ◽

10.1177/1534734609344106 ◽

2009 ◽

Vol 8 (3) ◽

pp. 141-146 ◽

Cited By ~ 35

Author(s):

Javier Aragón-Sánchez ◽

Yurena Quintana-Marrero ◽

Jose L. Lázaro-Martínez ◽

Maria J. Hernández-Herrero ◽

Esther García-Morales ◽

...

Keyword(s):

Surgical Treatment ◽

Soft Tissue ◽

Limb Loss ◽

Soft Tissue Infections ◽

Factors Associated ◽

Patients With Diabetes ◽

Necrotizing Soft Tissue Infections ◽

Diabetes Outcome

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Plantar Pressures, Plantar Forces, and Their Influence on the Pathogenesis of Diabetic Foot Ulcers

Journal of the American Podiatric Medical Association ◽

10.7547/1030322 ◽

2013 ◽

Vol 103 (4) ◽

pp. 322-332 ◽

Cited By ~ 25

Author(s):

Jérôme Patry ◽

Richard Belley ◽

Mario Côté ◽

Marie-Ludivine Chateau-Degat

Keyword(s):

Shear Stress ◽

Mechanical Stress ◽

Diabetic Foot ◽

Threshold Value ◽

Foot Ulcers ◽

Diabetic Foot Ulcers ◽

Plantar Pressures ◽

Manual Search ◽

Patients With Diabetes ◽

Full Text Review

Background: Clinical recommendations for the prevention and healing of diabetic foot ulcers (DFUs) are somewhat clear. However, assessment and quantification of the mechanical stress responsible for DFU remain complex. Different pressure variables have been described in the literature to better understand plantar tissue stress exposure. This article reviews the role of pressure and shear forces in the pathogenesis of plantar DFU. Methods: We performed systematic searches of the PubMed and Embase databases, completed by a manual search of the selected studies. From 535 potentially relevant references, 70 studies were included in the full-text review. Results: Variables of plantar mechanical stress relate to vertical pressure, shear stress, and temporality of loading. At this time, in-shoe peak plantar pressure (PPP) is the only reliable variable that can be used to prevent DFU. Although it is a poor predictor of in-shoe PPP, barefoot PPP seems complementary and may be more suitable when evaluating patients with diabetes mellitus and peripheral neuropathy who seem noncompliant with footwear. An in-shoe PPP threshold value of 200 kPa has been suggested to prevent DFU. Other variables, such as peak pressure gradient and peak maximal subsurface shear stress and its depth, seem to be of additional utility. Conclusions: To better assess the at-risk foot and to prevent ulceration, the practitioner should integrate quantitative models of dynamic foot plantar pressures, such as in-shoe and barefoot PPPs, with the regular clinical screening examination. Prospective studies are needed to evaluate causality between other variables of mechanical stress and DFUs. (J Am Podiatr Med Assoc 103(4): 322–332, 2013)

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17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions

Journal of Clinical and Translational Science ◽

10.1017/cts.2021.706 ◽

2021 ◽

pp. 1-2

Author(s):

Cassidi C. McDaniel ◽

Chiahung Chou

Keyword(s):

Hospital Readmissions ◽

Transitions Of Care ◽

Deep South ◽

Factors Associated ◽

Patients With Diabetes

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Risk factors associated with diabetic retinopathy in patients with diabetes mellitus type 2

BMC Research Notes ◽

10.1186/1756-0500-3-153 ◽

2010 ◽

Vol 3 (1) ◽

Cited By ~ 20

Author(s):

Irini P Chatziralli ◽

Theodoros N Sergentanis ◽

Petros Keryttopoulos ◽

Nikolaos Vatkalis ◽

Antonis Agorastos ◽

...

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Diabetic Retinopathy ◽

Diabetes Mellitus Type 2 ◽

Diabetes Mellitus Type ◽

Factors Associated ◽

Patients With Diabetes

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Prevalence of Anaemia and Its Associated Factors among Type 2 Diabetes Mellitus Patients in University of Gondar Comprehensive Specialized Hospital

Anemia ◽

10.1155/2021/6627979 ◽

2021 ◽

Vol 2021 ◽

pp. 1-5

Author(s):

Sewnet Adem Kebede ◽

Biruk Shalmeno Tusa ◽

Adisu Birhanu Weldesenbet

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Associated Factors ◽

Microvascular Complications ◽

Combined Treatment ◽

Factors Associated ◽

Specialized Hospital ◽

Patients With Diabetes

Background. Anaemia is one of the commonest blood disorders seen in patients with diabetes. In Ethiopia, chronic illnesses are tremendously raising with their complications. But very little research has been conducted, particularly on anaemia among diabetes mellitus (DM) patients. Therefore, this study aimed at assessing the prevalence of anaemia and associated factors among type 2 diabetes mellitus patients in Northwest Ethiopia. Methods. A cross-sectional study design was employed at University of Gondar Comprehensive Specialized Hospital from March 1 to April 15, 2019, among 372 type 2 diabetes mellitus patients (T2DM). Multivariable logistic regression analysis was fitted, and the corresponding adjusted odds ratio (AOR) and 95% CI were used to identify factors associated with anaemia. Level of significance was declared at the p value less than 0.05. Results. The study revealed 8.06% (95% CI: 5.68–11.31%) of the participants were anaemic. Being male (AOR = 2.74, CI: 1.02, 7.38), combined type of treatment (AOR = 8.38, CI: 1.66, 42.25), having diabetes-related microvascular complications (AOR = 3.24, CI: 1.14, 9.26), and hypertension (AOR = 0.01, CI: 0.002, 0.06) were the significant factors associated with anaemia. Conclusions. The finding of the current study revealed low prevalence of anaemia among T2DM patients. Sex, type of treatment, diabetes-related microvascular complications, and hypertension were factors associated with anaemia. Assessment of haemoglobin levels among T2DM patients may help to prevent ensuing microvascular complications. Incorporate anaemia screening into the routine assessment of diabetic complication particularly for those who are hypertensive and took combined treatment to allow early appreciation and treatment of anaemia and later improve the overall care of patients with diabetes.

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Clinical factors associated with the symptoms of constipation in patients with diabetes mellitus: A multicenter study

Journal of Gastroenterology and Hepatology ◽

10.1111/jgh.14022 ◽

2018 ◽

Vol 33 (4) ◽

pp. 863-868 ◽

Cited By ~ 3

Author(s):

Eiji Yamada ◽

Yulia Namiki ◽

Yuya Takano ◽

Hikaru Takamine ◽

Koji Inazumi ◽

...

Keyword(s):

Diabetes Mellitus ◽

Multicenter Study ◽

Clinical Factors ◽

Factors Associated ◽

Patients With Diabetes

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Factors associated with undertriage in patients classified by the need to visit a hospital by telephone triage: a retrospective cohort study

BMC Emergency Medicine ◽

10.1186/s12873-021-00552-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Ryota Inokuchi ◽

Xueying Jin ◽

Masao Iwagami ◽

Toshikazu Abe ◽

Masatoshi Ishikawa ◽

...

Keyword(s):

Diabetes Mellitus ◽

Cerebral Infarction ◽

Clinic Visit ◽

Telephone Triage ◽

Hospital Visit ◽

Over The Counter ◽

Factors Associated ◽

Patients With Diabetes ◽

History Of ◽

House Call

Abstract Background Prehospital telephone triage stratifies patients into five categories, “need immediate hospital visit by ambulance,” “need to visit a hospital within 1 hour,” “need to visit a hospital within 6 hours,” “need to visit a hospital within 24 hours,” and “do not need a hospital visit” in Japan. However, studies on whether present and past histories cause undertriage are limited in patients triaged as need an early hospital visit. We investigated factors associated with undertriage by comparing patient assessed to be appropriately triaged with those assessed undertriaged. Methods We included all patients classified by telephone triage as need to visit a hospital within 1 h and 6 h who used a single after-hours house call (AHHC) medical service in Tokyo, Japan, between November 1, 2019, and November 31, 2020. After home consultation, AHHC doctors classified patients as grade 1 (treatable with over-the-counter medications), 2 (requires hospital or clinic visit), or 3 (requires ambulance transportation). Patients classified as grade 2 and 3 were defined as appropriately triaged and undertriaged, respectively. Results We identified 10,742 eligible patients triaged as need to visit a hospital within 1 h and 6 h, including 10,479 (97.6%) appropriately triaged and 263 (2.4%) undertriaged patients. Multivariable logistic regression analyses revealed patients aged 16–64, 65–74, and ≥ 75 years (adjusted odds ratio [OR], 2.40 [95% confidence interval {CI} 1.71–3.36], 8.57 [95% CI 4.83–15.2], and 14.9 [95% CI 9.65–23.0], respectively; reference patients aged < 15 years); those with diabetes mellitus (2.31 [95% CI 1.25–4.26]); those with dementia (2.32 [95% CI 1.05–5.10]); and those with a history of cerebral infarction (1.98 [95% CI 1.01–3.87]) as more likely to be undertriaged. Conclusions We found that older adults and patients with diabetes mellitus, dementia, or a history of cerebral infarction were at risk of undertriage in patients triaged as need to visit a hospital within 1 h and 6 h, but further studies are needed to validate these findings.

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Survival and factors predicting mortality after major and minor lower-extremity amputations among patients with diabetes: a population-based study using health information systems

BMJ Open Diabetes Research & Care ◽

10.1136/bmjdrc-2020-001355 ◽

2020 ◽

Vol 8 (1) ◽

pp. e001355

Author(s):

Silvia Cascini ◽

Nera Agabiti ◽

Marina Davoli ◽

Luigi Uccioli ◽

Marco Meloni ◽

...

Keyword(s):

Risk Factors ◽

Lower Extremity ◽

Renal Disease ◽

High Mortality ◽

Chronic Renal Disease ◽

Mortality Rates ◽

Population Based ◽

Term Survival ◽

Factors Associated ◽

Patients With Diabetes

IntroductionThe aim of the study was to identify the sociodemographic and clinical factors associated with death after the first lower-extremity amputation (LEA), minor and major separately, using data from regional health administrative databases.Research design and methodsWe carried out a population-based cohort study including patients with diabetes residing in the Lazio region and undergoing a primary amputation in the period 2012–2015. Each individual was followed up for at least 2 years. Kaplan-Meier analysis was used to evaluate long-term survival; Cox proportional regression models were applied to identify factors associated with all-cause mortality.ResultsThe cohort included 1053 patients, 72% were male, 63% aged ≥65 years, and 519 (49%) died by the end of follow-up. Mortality rates at 1 and 4 years were, respectively, 33% and 65% for major LEA and 18% and 45% for minor LEA. Significant risk factors for mortality were age ≥65, diabetes-related cardiovascular complications, and chronic renal disease for patients with minor LEA, and age ≥75 years, chronic renal disease and antidepressant drug consumption for subjects with major LEA.ConclusionsThe present study confirms the high mortality rates described in patients with diabetes after non-traumatic LEA. It shows differences between minor and major LEA in terms of mortality rates and related risk factors. The study highlights the role of depression as specific risk factor for death in patients with diabetes after major LEA and suggests including its definition and management in strategies to reduce the high mortality rate observed in this group of patients.

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