Distal Symmetric Polyneuropathy Pain in Diabetes Mellitus

Oggiam, Daniella Silva; Jorgetto, Juliana Vallim; Chinini, Guilherme Luiz; Kusahara, Denise Miyuki; Gamba, Mônica Antar

doi:10.5294/aqui.2021.21.3.7

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…Pain is a condition in the form of an unpleasant feeling, which is very subjective. Everyone's feelings of pain are different in terms of scale or level, and only that person can explain or evaluate the pain they are experiencing (Oggiam, Jorgetto, Chinini, Kusahara, & Gamba, 2021). Pain is anything that hurts the body that is said by the individual who experiences it (Farrell & Dempsey, 2010).…”

Section: Totalmentioning

confidence: 99%

Caring for Patients with Type II Diabetes Mellitus: A Nursing Case Report

Era

2023

Injurity

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Diabetes Mellitus (DM) is a disease characterized by an insufficient amount of insulin that does not function normally. According to data of Basic Health Research of Indonesia Government year 2018, the global prevalence of DM among those aged 55 to 64 years reached 6.3% of 265 individuals, the highest value among all other age groups. To present a case study with TTDM in Samarinda, Indonesia and to determine the nursing care plan, explaining the nursing interventions and showing the importance of nursing care of patients with DM. we treated 2 patients who had TTDM using a standardized nursing process for 3 days and made observations and recorded the similarities and differences that emerged as a result of disease response and the effects of the treatment provided. Researcher has completed collecting data set which was then used to establish each of the 6 nursing diagnoses, and further each nursing plan details implemented and evaluated. There is a diversity and resemblance of data that was revealed in the discussion session of ther report. Using a thematic analysis approach, patterns in the data were identified and analyzed. The data were then synthesized using Indonesian Nursing Standardized (3S) terminology. The patient's positive health outcomes supported the accuracy of the diagnoses and the appropriateness of the nursing interventions. case study method contributes in understanding the overall nursing care for patients, especially those with TTDM because it opened up nursing scenarios that support nurses in utilized critical thinking skills including in making decisions in the use of the entire nursing process. By carefully implementing chosen interventions through nursing process nurse was able to compare data between cases, to determine the causes of differences and similarities from the data obtained and analyze based on appropriate theories and concepts.

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Section: Totalmentioning

confidence: 99%

Caring for Patients with Type II Diabetes Mellitus: A Nursing Case Report

Era

2023

Injurity

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Predicting the efficacy of rehabilitation in patients with type 2 diabetes and diabetic polyneuropathy

Bakaliuk,

Makarchuk,

Stelmakh

et al. 2024

Mìžnarodnij endokrinologìčnij žurnal

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Background. Predicting the effectiveness of rehabilitation in patients with diabetic polyneuropathy (DPN) and type 2 diabetes mellitus is of great importance in modern clinical practice. Given the prevalence of diabetes and its complications, including DPN, the development of predictive models will allow for personalized treatment approaches, optimization of rehabilitation programs, and improvement in the quality of life for patients. Integrating state-of-the-art data analysis methods and molecular-biological approaches into predictive models will contribute to the development of innovative rehabilitation strategies and improve treatment outcomes in this important patient population. The purpose of the study was to propose a multifactorial regression mathematical model for predicting the effectiveness of diabetic polyneuropathy rehabilitation. Materials and methods. Ninety-five patients with type 2 diabetes and DPN were examined to construct a predictive model of rehabilitation effectiveness using multiple regression analysis. The quality of the model was evaluated using the Nagelkerke criterion (R2). Results. The analysis revealed several significant associations between various factors and the effectiveness of rehabilitation in DPN patients. Specifically, an increase in age was associated with a predicted decrease in rehabilitation effectiveness by 0.103. Moreover, each increase in the duration of diabetes mellitus was associated with an expected decrease in rehabilitation effectiveness, ranging from 1.341 to 3.732 depending on the duration range. Similarly, changes in tobacco smoking, employment status, body mass index, glycated hemoglobin levels, mobility, self-care, usual activities, pain/discomfort, anxiety/depression, sensory sensitivities, DN4 scores, and lipid profile were all significantly associated with variations in rehabilitation effectiveness. The regression model demonstrated high explanatory power, with an observed correlation coefficient (rxy) of 0.997, indicating a strong functional relationship. Furthermore, the model was statistically significant (p < 0.001), suggesting that the identified predictors collectively explain 99.5 % of the observed variance in rehabilitation effectiveness. These findings underscore the importance of considering multiple factors when predicting rehabilitation outcomes in DPN patients and highlight the potential utility of the developed model in clinical practice. Conclusions. The proposed mathematical model for predicting the effectiveness of rehabilitation in type 2 diabetes patients with DPN demonstrates high acceptability, quality, and effectiveness. The application of this model, considering 99.5 % of DPN factors, will enhance the accuracy and timeliness of rehabilitation, improve treatment outcomes, facilitate regular monitoring of patients at high risk of complications, promote the development of informational leaflets and adapted programs for DPN prevention in type 2 diabetes patients, and facilitate the creation of relevant medical calculators and informational systems.

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Distal Symmetric Polyneuropathy Pain in Diabetes Mellitus

Cited by 2 publications

References 36 publications

Caring for Patients with Type II Diabetes Mellitus: A Nursing Case Report

Caring for Patients with Type II Diabetes Mellitus: A Nursing Case Report

Predicting the efficacy of rehabilitation in patients with type 2 diabetes and diabetic polyneuropathy

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