Profiling  of  Clinical  Dynamics  of  Type  2  Diabetes  Mellitus  in  Patients:  a  Perspective  Review

Ikwuka, Aloysius Obinna; Omoju, Daniel Inioluwa; Mahanera, Ousainou K

doi:10.37022/wjcmpr.v5i5.294

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…Metabolic disorders e.g. Hypertension, Adiposity, Diabetes mellitus and Dyslipidemia collectively known as Metabolic Syndrome Diseases (MSDs) are diseases related to one another and have very high morbidity and mortality rates [15,16,18,33,35,52]. Results obtained from different researches have shown that hypertension, diabetes mellitus, adiposity and dyslipidemia, asymptomatic hyperuricemia, systemic immune inflammation activation and fibrogenesis, can lead to kidney damage [19,20,21,23,24,25,30,32,34,53,54,55,56,60], and can also affect the brain blood supply leading to neuronal damage.…”

Section: Discussionmentioning

confidence: 99%

Optimization of Delirium Care in Adult Patients with Cancer: A Comprehensive and Integrative Review of Efficacy and Patient Outcomes

Ojiaku,

Duru,

Ikwuka

et al. 2024

WJCMR

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Delirium is a major complication most commonly observed in patients with advanced cancer. However, despite its prevalence, the early diagnosis, management, and prevention of this condition have not seen significant progress. Aim of this research is to provide insights into the prevalence of delirium, the optimization of interventions for managing delirium symptoms, their effectiveness and the impact of underlying factors on the reversibility of delirium in advanced cancer patients receiving palliative care. The review involved systematic searches of relevant databases including MEDLINE, CINAHL, ProQuest Nursing and Allied Health, and PsychInfo using refined search terms. Eight publications out of 614 studies originally searched were selected and critically reviewed. Their quality was assessed using Joanna Briggs Institute's Critical Appraisal Tool for Case Series. Data abstraction and content analysis were performed to synthesize the findings. Delirium is prevalent among advanced cancer patients in palliative care, with rates ranging from 10.3% to 24.1%. Pharmacotherapy and non-pharmacological interventions showed effectiveness in reducing delirium symptoms. Delirium was found to be reversible through palliative care interventions, antipsychotic medications, and exercise therapy. Effective delirium management is crucial in improving the quality of life of cancer patients. This review emphasizes the importance of subtype-specific treatments, standardized guidelines, and long-term follow-up studies. Implementing evidence-based individualized approaches to delirium management can optimize treatment efficacy and clinical outcomes in patients as well as improve the quality of care. Tailored interventions, standardized protocols, and further research are hereby recommended.

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Section: Discussionmentioning

confidence: 99%

Optimization of Delirium Care in Adult Patients with Cancer: A Comprehensive and Integrative Review of Efficacy and Patient Outcomes

Ojiaku,

Duru,

Ikwuka

et al. 2024

WJCMR

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The role of artificial intelligence in disease prediction: using ensemble model to predict disease mellitus

Du,

Wang,

Zhang

2024

Front. Med.

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The traditional complications of diabetes are well known and continue to pose a considerable burden to millions of people with diabetes mellitus (DM). With the continuous accumulation of medical data and technological advances, artificial intelligence has shown great potential and advantages in the prediction, diagnosis, and treatment of DM. When DM is diagnosed, some subjective factors and diagnostic methods of doctors will have an impact on the diagnostic results, so the use of artificial intelligence for fast and effective early prediction of DM patients can provide decision-making support to doctors and give more accurate treatment services to patients in time, which is of great clinical medical significance and practical significance. In this paper, an adaptive Stacking ensemble model is proposed based on the theory of “error-ambiguity decomposition,” which can adaptively select the base classifiers from the pre-selected models. The adaptive Stacking ensemble model proposed in this paper is compared with KNN, SVM, RF, LR, DT, GBDT, XGBoost, LightGBM, CatBoost, MLP and traditional Stacking ensemble models. The results showed that the adaptive Stacking ensemble model achieved the best performance in five evaluation metrics: accuracy, precision, recall, F1 value and AUC value, which were 0.7559, 0.7286, 0.8132, 0.7686 and 0.8436. The model can effectively predict DM patients and provide a reference value for the screening and diagnosis of clinical DM.

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Molecular Detection of Extended-Spectrum Beta-lactamase Producing Salmonella typhi Isolates in Patients Attending a Tertiary Care Hospital in North-Central Nigeria

2024

AJPAB

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Indiscriminate and irrational use of antibiotics has led to the emergence of antibiotic resistance of Salmonellatyphi (S. typhi) and the rapid spread of extended-spectrum beta-lactamase (ESBL) producing strains conferring resistance. This is in fact worrisome, is threatening antibiotic therapy and placing a substantial clinical and financial burden on the healthcare system, patients and their families. Aim of research was to detect molecularly extended-spectrum beta-lactamase producing S. typhi isolates in patients attending Bingham University Teaching Hospital (BhUTH), Jos, Plateau State, North-Central Nigeria. A total of 353stool samples were collected from patients attending BhUTH, and identified using standard microbiological techniques. Antibiotics susceptibility testing was carried out using disc diffusion method, and double disc synergy test (DDST) for phenotypic ESBL production. Polymerase Chain Reaction (PCR) and agarose gelelectrophoresis were done to detect the presence of ESBL genes. S. typhi prevalence was 37(10.4%). Antibiotics susceptibility profile showed highest resistance to Augmentin and Ampicillin (100%) and less resistance to Nitrofurantoin (0%) and Cefuroxime (24.3%). The S. typhi isolates had CRX-AUG-AMP-AMX-STR-CH and CRX-AUG-AMP-AMX-STR as the most frequent resistant phenotypes (10.8%) with multidrug-resistant (MDR) isolates (73%). ESBL producing isolates were 5(13.5%). PCR and agarose gel electrophoresis confirmed the presence of blaCTX-M 2(40.0%), blaSHV 3(60.0%) and blaTEM 5(100.0%) on 857, 615, and 972 base pairs respectively. S. typhi isolates showed higher susceptibility to Nitrofurantoin and Cefuroxime. Prompt monitoring of antibiotics usage, resistance to antibiotics and public health education are therefore necessary in order to reduce bacterial disease burden.

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Profiling of Clinical Dynamics of Type 2 Diabetes Mellitus in Patients: a Perspective Review

Cited by 5 publications

References 29 publications

Optimization of Delirium Care in Adult Patients with Cancer: A Comprehensive and Integrative Review of Efficacy and Patient Outcomes

Optimization of Delirium Care in Adult Patients with Cancer: A Comprehensive and Integrative Review of Efficacy and Patient Outcomes

The role of artificial intelligence in disease prediction: using ensemble model to predict disease mellitus

Molecular Detection of Extended-Spectrum Beta-lactamase Producing Salmonella typhi Isolates in Patients Attending a Tertiary Care Hospital in North-Central Nigeria

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