Introduction Chronic kidney disease (CKD) is a state of chronic inflammation. Chronic inflammation weakens the body's immune response to infections. Hence, CKD patients are at an increased risk of infections. Urinary tract infection (UTI) is one of the most common types of community-acquired infection. There is a paucity of data with respect to UTI in CKD patients. Hence, our objective was to study the clinical and microbiological profile of UTI in CKD patients. Materials and methods We studied 129 CKD patients at a tertiary care hospital in south India from January 2020 to June 2020. Patients who fulfilled the inclusion criteria were included in the study. Urine samples were cultured aseptically. Only urine-culture positive samples were included in the study and antibiotic susceptibility was recorded. Results Males (76.2%) were most commonly infected. 94% were gram-negative bacteria, 3% were gram-positive bacteria and 3% were Candida species. E. coli (61.8%) was the most common isolated microorganism. Resistance to quinolones was recorded among gram-negative bacteria. Resistance to penicillin and quinolones was noted among gram-positive bacteria. Candida species were sensitive to amphotericin B and fluconazole. Conclusion The results of the study help in formulating the empiric antibiotic policy to treat UTI in CKD patients and hence prevent inadvertent use of antibiotics and the emergence of antibiotic resistance.
Introduction Subclinical hypothyroidism (SH) is defined as an increase in serum-thyroid stimulating hormone (S-TSH) above the normal level with free triiodothyronine (T4) and free thyroxine (T3) within the normal range. It is more common in females. The association between SH and dyslipidemia is unclear. There are many controversial studies regarding the same. This is the single largest study of Atherogenic index of plasma (AIP) in SH among women from our country. Our aim is to study the lipid profile and AIP in SH patients. We will also study the correlation between AIP and S-TSH levels in SH patients. Materials and methods It was a retrospective study conducted in a tertiary care center. A total of 97 females with SH were taken as cases and 86 normal females were taken as euthyroid (ET) controls. They were matched for demographic characteristics. T3, T4, S-TSH, total cholesterol, S-triglycerides (S-TG), high-density lipoprotein - cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and AIP were compared between the two groups. Spearman’s correlation between TSH and AIP was studied in the SH group. Mann-Whitney U test was performed. Results The TG, HDL, AIP levels were significantly different between both groups. TG, AIP was higher in the SH group compared to the ET group (p value of TG= 0.01, p value of AIP <0.0001). HDL was lower in the ET group compared to the SH group (p value <0.0001). AIP showed a significant positive correlation with S-TSH levels in the SH group. (r value=0.72, p value=<0.001). Conclusion It is important to regularly monitor SH patients for dyslipidemia, in order to start early therapy with levothyroxine/statins. Emphasis should be laid on lifestyle changes such as diet and exercise from the time of diagnosis. Community level education and awareness should be encouraged. Also, AIP is a better parameter to assess cardiovascular risk in SH patients than a conventional lipid profile.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.