Risk Factor Identification, Classification and Prediction Summary of Chronic Kidney Disease

2020 ◽  
Vol 13 ◽  
Author(s):  
Pramila Arulanthu ◽  
Eswaran Perumal
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Disease Diagnosis ◽  
Medical Data ◽  
Machine Learning Algorithms ◽  
World Health ◽  
Medical Field ◽  
Data Set ◽  
Medical Issues ◽  
Health Organization

: The medical data has an enormous quantity of information. This data set requires effective classification for accurate prediction. Predicting medical issues is an extremely difficult task in which Chronic Kidney Disease (CKD) is one of the major unpredictable diseases in medical field. Perhaps certain medical experts do not have identical awareness and skill to solve the issues of their patients. Most of the medical experts may have underprivileged results on disease diagnosis of their patients. Sometimes patients may lose their life in nature. As per the Global Burden of Disease (GBD-2015) study, death by CKD was ranked 17th place and GBD-2010 report 27th among the causes of death globally. Death by CKD is constituted 2·9% of all death between the year 2010 and 2013 among people from 15 to 69 age. As per World Health Organization (WHO-2005) report, 58 million people expired by CKD. Hence, this article presents the state of art review on Chronic Kidney Disease (CKD) classification and prediction. Normally, advanced data mining techniques, fuzzy and machine learning algorithms are used to classify medical data and disease diagnosis. This study reviews and summarizes many classification techniques and disease diagnosis methods presented earlier. The main intention of this review is to point out and address some of the issues and complications of the existing methods. It is also attempts to discuss the limitations and accuracy level of the existing CKD classification and disease diagnosis methods.

scholarly journals Validation of the Brazilian version of WHODAS 2.0 in patients on hemodialysis therapy

2018 ◽  
Vol 31 (0) ◽  
Author(s):  
Shamyr Sulyvan Castro ◽  
Camila Ferreira Leite ◽  
Juliana Elisa Baldin ◽  
Marilita Falangola Accioly
Keyword(s):  
Quality Of Life ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
World Health Organization ◽  
World Health ◽  
World Health Organization Quality ◽  
Brazilian Version ◽  
The World ◽  
Health Organization

Abstract Introduction: Chronic kidney disease and hemodialysis normally have an impact on the functioning. Objective: To validate the Brazilian version of the World Health Organization Disability Assessment Schedule 2.0 in individuals with chronic kidney disease on hemodialysis treatment. Methods: The 36-item version was applied to interview 51 individuals with chronic kidney disease undergoing dialysis treatment. To ascertain the instrument’s applicability, its internal consistency and test-retest stability were studied. To check the validity, a convergent/divergent analysis was performed. Results: The participants answered the questions on the main instrument at two timepoints and on the World Health Organization Quality of Life Abbreviated instrument and the Kidney Disease Quality of Life - Short FormTM 1.3 once each. Cronbach’s α coefficient was appropriate in all domains except the “Getting along” domain. The test-retest coefficients were above the recommended value (> 0.70). Convergent and divergent validity analysis also showed consistent results by correlation coefficient assessment. Conclusion: The instrument is valid and reliable. This study supports the use of the questionnaire by presenting its appropriate psychometric properties. We suggest that some care should be taken specifically in the sexual questions of the “Getting along” domain.

scholarly journals Regulation of Autophagy and Inflammation Through Physical Exercise in Patients with Chronic Kidney Disease: Protective Factor in Individuals Affected by COVID-19

2021 ◽  
pp. 66-76
Author(s):  
Matheus Ribeiro Bizuti ◽  
Júlia Leão Batista Simões ◽  
Gabriel Rossi Francisco ◽  
Gabrielli Drechsler ◽  
Fabiana Brum Haag ◽  
...  
Keyword(s):  
Physical Activity ◽  
Chronic Kidney Disease ◽  
Immune System ◽  
Kidney Disease ◽  
Physical Exercise ◽  
Protective Factor ◽  
Severe Form ◽  
World Health ◽  
Increased Risk ◽  
Health Organization

In March 11, 2020, the World Health Organization (WHO) characterized the rapid and uncontrollable spread of the new Coronavirus as a pandemic, given that this disease has high severity and morbidity and mortality. The epicenter of the SARS-CoV-2 outbreak was the city of Wuhan, China. Individuals with associated comorbidities, such as patients with chronic kidney disease (CKD), are at increased risk of being affected by the severe form of the disease. In this sense, it is known that people with CKD have a more sedentary lifestyle, with reduced physical exercise. Thus, physical exercise is able to modulate the inflammatory process resulting from CKD, acting as a regulator of the immune system, as well as assisting in the control of renal autophagy. It appears that physical activity contributes to the improvement of the population's quality of life and acts as an effect of disease prevention. Hence, people who live with CKD in times of the pandemic of COVID-19, by adopting physical activity as a life practice, will have the consequence of strengthening the immune system by modulating inflammation and increasing the control of renal autophagy. Therefore, the practice of exercise is suggested when facing COVID-19.

scholarly journals GAMBARAN STATUS BESI PADA PASIEN PENYAKIT GINJAL KRONIK YANG MENJALANI HEMODIALISIS

e-CliniC ◽  
2014 ◽  
Vol 2 (2) ◽  
Author(s):  
Kurniawan K. Patambo ◽  
Linda W. A. Rotty ◽  
Stella Palar
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
World Health Organization ◽  
Serum Iron ◽  
Iron Status ◽  
Transferrin Saturation ◽  
World Health ◽  
Primary Data ◽  
Age Group ◽  
Health Organization

Abstract: Chronic Kidney Disease (CKD) is a process of patofisiologis with multiple etiology, resulting in decline kidney function that is progressive and generally ending with kidney failure. The incidence of the patients with CKD in developing countries, is estimated to be around 40-60 cases per 1 million citiziens per year. The World Health Organization (WHO) estimated that there will be an increase in patients with kidney disease in Indonesia as much as 41.4% between 1995-2025. In Indonesia, from data in some parts of Nephrology, estimated incidence of CKD range 100-150 per 1 million citiziens. This research aims to know the description of iron status in Chronic Kidney Disease who undergoing Hemodialysis in Intalation of Hemodialysis was BLU Prof. Dr. R.D. Kandou Hospital. Method: This study uses descriptive retrospective method based on primary data from research period November 2013 - December 2013 in the Installation of Hemodialysis was BLU. Prof. Dr. R. D. Kandou Hospital. Research variables used are age, sex, the results of the laboratory test, the cause of CKD, undergoing long-term of Hemodialysis. Result: The results are from 57 total patient who included in research criterion there 41 (72%) men  and 16 (28%) woman, based on the age group, group of age 41-64 38 (67%), the distribution of laboratory results based on hemoglobin levels in men at levels of 8-8.9 g/ dL, 15 (37%), as well as the women in the highest levels of hemoglobin levels of 8-8.9 g/ dL 5 (32%), based on hematocrit levels in men - most men in levels of 24-26.9% 14 (34%), and women most at levels of 21-23.9% 5 (32%), based on the highest value of serum iron value of 59-158 ug/ dL 33 (58%), based TIBC value most in the value <250 ug / dL 52 (91%), based on the highest value of transferrin saturation values​​ >50% 27 (48%), based on the most cause of CKD due Nefrosclerosis Hypertension 56 (98%). Conclusion: On this research most on sex men and age group 20-64. Keywords: Chronic Kidney Disease, Iron serum, TIBC, Transferrin saturation.     Abstrak: Penyakit ginjal kronik (PGK) merupakan suatu proses patofisiologis dengan etiologi yang beragam, mengakibatkan penurunan fungsi ginjal yang progresif dan pada umumnya berakhir dengan gagal ginjal. Insidens penderita PGK di  negara-negara berkembang, diperkirakansekitar 40 - 60 kasus perjuta penduduk per tahun. World Health Organization (WHO) memperkirakan akan terjadi peningkatan pasien dengan penyakit ginjal di Indonesia sebesar 41,4% antara tahun 1995-2025. Di Indonesia, dari data di beberapa bagian nefrologi, diperkirakan insidens PGK berkisar 100-150 per 1  juta penduduk.Penelitian ini bertujuan untuk mengetahui gambaran status besi pada Penyakit Ginjal Kronik yang menjalani Hemodialisis di Instalasi Tindakan Hemodialisis BLU RSUP Prof. Dr. R.D. Metode: Penelitian ini menggunakan metode retrospektif deskriptif berdasarkan data primer pada periode November 2013 – Desember 2013 di Instalasi Tindakan Hemodialisis BLU RSUP. Prof. Dr. R. D. Kandou dengan variabel penelitian yang digunakan yaitu umur, jenis kelamin, hasil laboratorium, penyebab PGK, lama menjalani Hemodialisis. Hasil: Hasil dari peneltian ini adalah dari 57 pasien yang memenuhi kriteria inklusi berdasarkan jenis kelamin, laki – laki 41 (72%) dan perempuan 16 (28%), berdasarkan kelompok umur terbanyak pada usia 41-64 tahun 38 (67%), distribusi hasil laboratorium berdasarkan kadar hemoglobin, laki – laki terbanyak pada kadar 8-8,9 g/dL 15 (37%), sama halnya pada perempuan 5 (32%), berdasarkan kadar hematokrit pada laki – laki terbanyak pada kadar 24-26,9% 14 (34%), dan perempuan pada kadar 21 – 23,9% 5 (32%), berdasarkan nilai serum iron terbanyak nilai 59-158 ug/dL 33 (58%), berdasarkan nilai TIBC terbanyak nilai <250 ug/dL 52 (91%), berdasarkan nilai saturasi transferin ter-banyak nilai >50% 27 (48%), berdasarkan penyebab PGK terbanyak akibat Hipertensi nefrosklerosis 56 (98%). Simpulan:pada penelitian ini terbanyak pada jenis kelamin laki – laki dan kelompok umur 20 – 64 tahun. Kata kunci: Penyakit ginjal kronik, Serum iron, TIBC, Saturasi transferin.

scholarly journals A PROSPECTIVE OBSERVATIONAL STUDY ON MEDICATION USE PATTERN IN PATIENTS WITH RISK FACTORS OF CHRONIC KIDNEY DISEASE

2021 ◽  
pp. 144-148
Author(s):  
AVEZ ALI ◽  
PAWAN KUMAR ◽  
JAVED AKHTAR ANSARI ◽  
MEENAZ FATIMA ◽  
FIRDOUS IRRUM
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Observational Study ◽  
Prospective Observational Study ◽  
World Health ◽  
Medication Usage ◽  
Essential Drug List ◽  
Usage Patterns ◽  
Health Organization ◽  
Study Participants

Objectives: The current study was undertaken to review and assess the medication usage pattern in patients with chronic kidney disease (CKD). Methods: A 12-month prospective observational study was carried out at Shadan Teaching and General Hospital, Peerancheru (Hyderabad), involving 384 CKD patients considering the inclusion and exclusion criteria. Medication evaluation for optimization was done using the World Health Organization (WHO) core prescribing indicators. Data collected were entered using Microsoft Excel. Descriptive statistics such as mean, percentage, and standard deviation (SD) were used to present sociodemographic characteristics of the study participants. Results: Out of the total of 384 patients, 249 (65%) were male and 135 (35%) were female with a mean age of 58.28 (SD: 13.12). A total of 384 prescriptions were scrutinized with a total of 3634 drugs, out of which drugs acting on the cardiovascular system were the most prescribed drugs (36.37%). The average number of drugs per prescription was found to be 9.08 considering the total number of prescriptions. The percentage of drugs prescribed by generic name was 15.57%. The percentage of encounters with antibiotics was 25%, whereas the percentage of encounters with injections was 86%. The percentage of drugs prescribed from the Essential Drug List or Formulary was found to be 26.36%. Conclusion: Assessment of medication usage patterns using the WHO core indicators in CKD patients helps to reinforce the current hospital guidelines for the optimal usage of medications. The introduction of a clinical pharmacist along with a multidisciplinary team provides intensive care to the patients and helps to improve the clinical outcome.

Exploring Patients' Experiences After Chronic Kidney Disease Diagnosis: A Qualitative Study

2020 ◽  
Vol 47 (1) ◽  
pp. 67
Author(s):  
Areti Stavropoulou ◽  
Michael Rovithis ◽  
Maria G. Grammatikopoulou ◽  
Konstantina Kyriakidi ◽  
Andriani Pylarinou ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Qualitative Study ◽  
Disease Diagnosis

scholarly journals Guidelines adherence in the prevention and management of chronic kidney disease in patients with diabetes mellitus on the background of recent European recommendations – a registry-based analysis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Peter Bramlage ◽  
Stefanie Lanzinger ◽  
Sascha R. Tittel ◽  
Eva Hess ◽  
Simon Fahrner ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Clinical Practice ◽  
Kidney Disease ◽  
Analysis Data ◽  
Disease Diagnosis ◽  
Diabetic Patients ◽  
European Society Of Cardiology

Abstract Background Recent European Society of Cardiology (ESC)/European Association for the Study of Diabetes (EASD) guidelines provide recommendations for detecting and treating chronic kidney disease (CKD) in diabetic patients. We compared clinical practice with guidelines to determine areas for improvement. Methods German database analysis of 675,628 patients with type 1 or type 2 diabetes, with 134,395 included in this analysis. Data were compared with ESC/EASD recommendations. Results This analysis included 17,649 and 116,747 patients with type 1 and type 2 diabetes, respectively. The analysis showed that 44.1 and 49.1 % patients with type 1 and type 2 diabetes, respectively, were annually screened for CKD. Despite anti-diabetic treatment, only 27.2 % patients with type 1 and 43.5 % patients with type 2 achieved a target HbA1c of < 7.0 %. Use of sodium-glucose transport protein 2 inhibitors (1.5 % type 1/8.7 % type 2 diabetes) and glucagon-like peptide-1 receptor agonists (0.6 % type 1/5.2 % type 2 diabetes) was limited. Hypertension was controlled according to guidelines in 41.1 and 67.7 % patients aged 18–65 years with type 1 and 2 diabetes, respectively, (62.4 vs. 68.4 % in patients > 65 years). Renin angiotensin aldosterone inhibitors were used in 24.0 and 40.9 % patients with type 1 diabetes (micro- vs. macroalbuminuria) and 39.9 and 47.7 %, respectively, in type 2 diabetes. Conclusions Data indicate there is room for improvement in caring for diabetic patients with respect to renal disease diagnosis and treatment. While specific and potentially clinically justified reasons for non-compliance exist, the data may serve well for a critical appraisal of clinical practice decisions.

Comparativa de modelos multivariados basados en aprendizaje automático para la predicción del riesgo de diabetes en etapas tempranas

2021 ◽  
Author(s):  
◽  
Zayra Ramírez Gaytán
Keyword(s):  
World Health ◽  
Degenerative Diseases ◽  
Decision Tree Algorithm ◽  
Data Set ◽  
The World ◽  
Long Time ◽  
Life Threatening ◽  
Health Organization ◽  
Logistic Regression Algorithm ◽  
Asymptomatic Phase

Diabetes is one of the fastest-growing, life-threatening, chronic degenerative diseases. According to the World Health Organization (WHO), it has affected 422 million people worldwide in 2018. Approximately 50% of all people who suffer diabetes are not diagnosed due to the asymptomatic phase which usually lasts a long time. In this work, a data set of 520 instances has been used. The data set has been analyzed with the next three algorithms: logistic regression algorithm, decision trees and random forest. The results show that the decision tree algorithm had better performance with an AUC of 98%. Also, it was found the most common symptoms that a person with a risk of diabetes presents are polyuria, polydipsia and sudden weight loss.

Data Science and real world health data improve precision for diagnosis: Acute Kidney Injury, acute-on-chronic and Chronic Kidney Disease (Preprint)

2021 ◽  
Author(s):  
Karen Triep ◽  
Alexander Benedikt Leichtle ◽  
Martin Meister ◽  
Georg Martin Fiedler ◽  
Olga Endrich
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Data Science ◽  
Query Language ◽  
Correct Diagnosis ◽  
Kidney Injury ◽  
Data Driven ◽  
World Health ◽  
Discharge Data ◽  
The Individual

BACKGROUND The criteria for the diagnosis of kidney disease outlined in “The Kidney Disease: Improving Global Outcomes (KDIGO)” are based on a patient’s current, historical and baseline data. The diagnosis of acute (AKI), chronic (CKD) and acute-on-chronic kidney disease requires past measurements of creatinine and back-calculation and the interpretation of several laboratory values over a certain period. Diagnosis may be hindered by unclear definition of the individual creatinine baseline and rough ranges of norm values set without adjustment for age, ethnicity, comorbidities and treatment. Classification of the correct diagnosis and the sufficient staging improves coding, data quality, reimbursement, the choice of therapeutic approach and the patient’s outcome. OBJECTIVE With the help of a complex rule-engine a data-driven approach to assign the diagnoses acute, chronic and acute-on-chronic kidney disease is applied. METHODS Real-time and retrospective data from the hospital’s Clinical Data Warehouse of in- and outpatient cases treated between 2014 – 2019 is used. Delta serum creatinine, baseline values and admission and discharge data are analyzed. A KDIGO based standard query language (SQL) algorithm applies specific diagnosis (ICD) codes to inpatient stays. To measure the effect on diagnosis, Text Mining on discharge documentation is conducted. RESULTS We show that this approach yields an increased number of diagnoses as well as higher precision in documentation and coding (unspecific diagnosis ICD N19* coded in % of N19 generated 17.8 in 2016, 3.3 in 2019). CONCLUSIONS Our data-driven method supports the process and reliability of diagnosis and staging and improves the quality of documentation and data. Measuring patients’ outcome will be the next step of the project.

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