A multicenter retrospective study on magnitude, distribution, socio-demographic, and other risk factors associated with hemodialysis in Jigawa State, Northwest Nigeria

被引:2
|
作者
Ibrahim, Usman Muhammad [1 ]
Jibo, Abubakar Mohammed [2 ]
Bashir, Usman [2 ]
Aliyu, Muhammad Sabiu [4 ]
Jalo, Rabiu Ibrahim [5 ]
Zubairu, Zahrau [3 ]
Muazu, Salisu [4 ]
Buba, Luka Fitto
Lawrence, Ademola Babatunde
Sidi, Kamalu Shehu
Abdulsalam, Kabiru [6 ]
Karkarna, Mustapha Zakariyya
机构
[1] Bayero Univ, Dept Environm Management, Kano, Nigeria
[2] Bayero Univ, Aminu Kano Teaching Hosp, Dept Community Med, Kano, Nigeria
[3] Aminu Kano Teaching Hosp, Dept Nursing Sci, Hemodialysis Unit, Kano, Nigeria
[4] Fed Univ Dutse, Dept Internal Med, Jigawa, Nigeria
[5] Aminu Kano Teaching Hosp, Dept Internal Med, Kano, Nigeria
[6] Bayero Univ, Aminu Kano Teaching Hosp, Dept Chem Pathol & Immunol, Kano, Nigeria
关键词
Hemodialysis; Nigeria; Northwest; risk factors; socio-demographic factors; CHRONIC KIDNEY-DISEASE; EPIDEMIOLOGY; HYPERTENSION;
D O I
10.4103/njbcs.njbcs_15_23
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Context: There is a growing concern regarding increasing cases of kidney diseases in Jigawa state, with most conditions requiring hemodialysis or other forms of renal replacement therapy. Aim: This study aimed to find the magnitude, distribution, socio-demographic, and other factors associated with hemodialysis in Jigawa state, Northwest Nigeria. Materials and Methods: It was a retrospective multicenter analysis of secondary data from hemodialysis centers of the randomly selected public hospitals in northwest Nigeria. Statistical Analysis: Data were analyzed using IBM SPSS Statistics for Windows, version 22.0, with statistical significance set at P <= 0.05. Results: A total of 1,329 patients were enrolled for dialysis in Kano and Jigawa states, between 2019 and 2022, out of which more than one-third (509, 38.3%) were from Jigawa state. Dutse, Jahun, Gumel, and Hadejia local government areas (LGAs) of Jigawa state had 86 (16.8%), 64 (12.6%), 48 (9.4%), and 44 (8.6%) respectively. The respondent's ages ranged from 1 - 100 years with a median age of 48 (interquartile range [IQR] = 31, 60) years. Chronic kidney disease (CKD) was found among 403 (79.2%) patients, acute on chronic kidney disease (AOCCKD) in 87 (17.1%) patients, and acute kidney injury (AKI) in 19 (3.7%) patients. The major risk factors identified were hypertension, diabetes, and chronic glomerulonephritis (CGN) among 329 (64.6%), 69 (13.6%), and 66 (13.0%) patients, respectively. Hypertension was a significantly higher risk factor among patients from Jigawa state compared with other states (46.8%, P < 0.001), hypertensives from Jigawa state were twice more likely to develop kidney disease requiring hemodialysis (adjusted odds ratio [aOR] = 2.2, 95% confidence interval [CI] = 1.7-2.8) compared with non-hypertensive etiologies. Conclusion: The burden of kidney diseases requiring hemodialysis in Jigawa state is high, with hypertension and diabetes being the major risk factors for hemodialysis. The government and other stakeholders should develop strategies for early identification and proper management of the risk factors.
引用
收藏
页码:118 / 124
页数:7
相关论文
共 50 条
  • [21] Socio-Demographic Characteristics and Associated Factors of Morbidity in Patients with Venous Ulcers Treated in Two Institutions of Contributive and Subsidized Regime in Colombia: Retrospective, Multicenter, Observational Study
    Cacua Sanchez, Maria Teresa
    Buenahora, Gustavo
    VASCULAR HEALTH AND RISK MANAGEMENT, 2022, 18 : 89 - 104
  • [22] Job type and other socio-demographic factors associated with participation in a national, cross-sectional study of Danish employees
    Johnsen, Nina Fons
    Thomsen, Birthe Lykke
    Hansen, Jorgen Vinslov
    Christensen, Birgitte Schuett
    Rugulies, Reiner
    Schlunssen, Vivi
    BMJ OPEN, 2019, 9 (08):
  • [23] HIV Infection among Young People in Northwest Tanzania: The Role of Biological, Behavioural and Socio-Demographic Risk Factors
    Lemme, Francesca
    Doyle, Aoife M.
    Changalucha, John
    Andreasen, Aura
    Baisley, Kathy
    Maganja, Kaballa
    Watson-Jones, Deborah
    Kapiga, Saidi
    Hayes, Richard J.
    Ross, David A.
    PLOS ONE, 2013, 8 (06):
  • [24] Non-Institutional Childbirths and the Associated Socio-Demographic Factors in Gambella Regional State, Ethiopia
    Gora, Gnkambo Agwa
    Umer, Muhammad Farooq
    Ojulu, Peter Obang
    Betaw, Sintayehu Tsegaye
    Cham, Akwoma Okugn
    Gora, Ojulu Agwa
    Qi, Xin
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (06) : 1 - 14
  • [25] Modifiable risk factors of hypertension and socio-demographic profile in Oghara, Delta State; prevalence and correlates
    Ibekwe, R. U.
    ANNALS OF MEDICAL AND HEALTH SCIENCES RESEARCH, 2015, 5 (01) : 71 - 77
  • [26] The role of socio-demographic factors in depression and anxiety of patients on hemodialysis: an observational cross-sectional study
    G. Gerogianni
    E. Lianos
    A. Kouzoupis
    M. Polikandrioti
    E. Grapsa
    International Urology and Nephrology, 2018, 50 : 143 - 154
  • [27] The role of socio-demographic factors in depression and anxiety of patients on hemodialysis: an observational cross-sectional study
    Gerogianni, G.
    Lianos, E.
    Kouzoupis, A.
    Polikandrioti, M.
    Grapsa, E.
    INTERNATIONAL UROLOGY AND NEPHROLOGY, 2018, 50 (01) : 143 - 154
  • [28] Dietary risk scores of toddlers are associated with nutrient intakes and socio-demographic factors, but not weight status
    Bell, Lucinda K.
    Golley, Rebecca K.
    Magarey, Anthea M.
    NUTRITION & DIETETICS, 2016, 73 (01) : 73 - 80
  • [29] Study of socio-demographic risk factors of dengue fever in a tertiary care hospital in Pakistan
    Maqbool, A.
    Mushtaq, M.
    Ahmad, M. -U. -D.
    Nisar, M.
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2014, 21 : 257 - 258
  • [30] Prevalence and maternal socio-demographic factors associated with stillbirth in health facilities in Anambra, South-East Nigeria
    Anyichie, Nonye E.
    Nwagu, Evelyn N.
    AFRICAN HEALTH SCIENCES, 2019, 19 (04) : 3055 - 3062