METHODOLOGY
This cross-sectional study was conducted at the Department of Medicine, Liaquat University Hospital, Hyderabad from May to November 2019. A total of 140 H. pylori-infected patients were collected, based on the reported prevalence of IDA in patients with H. pylori of 23% 12 and a 7% margin of error. The study included individuals aged 15 to 60 years, of either gender, who had Helicobacter pylori infection for more than 6 weeks and were receiving therapy.
Patients having chronic renal failure (BUN > 60, Cr: > 4), Hemolytic anemia, thalassemia, aplastic anemia Known alcoholism, Cirrhosis of the liver, Regular use (> 3 weekly) of NSAIDS, Prior gastric resection, Celiac disease, G.I or hematological malignancies and Inflammatory bowel disease were excluded from the study.
We acquired demographic information, such as name, gender, and age. Everyone who met the criteria for inclusion was included in the study; everyone else was excluded. To prevent confounding variables, careful adherence to the exclusion criteria was required. A brief history of anaemia, the length of the anaemia, the colour of the faeces (black stools), and the ferritin level were assessed. To test for anaemia, ID, and the presence of H. Pylori, 10 ml of blood were drawn from the cubital vein of either upper arm and transmitted to a lab in a disposable syringe.
A multiparameter cell counter Sysmex k 1000 hematology analyzer was used to determine the amounts of haemoglobin (Hb) and hematocrit (Hct) in the CBC (Tao electronics, Japan). Utilizing accepted laboratory quality control procedures, this analyzer has been calibrated and is under control. Serum iron levels were tested using a Hitachi 917 biochemistry automated analyzer, and ferritin concentrations were determined using a hormones auto-analyzer Cobas e411 (Roche Diagnostics GmbH, Mannheim, Germany) (Roche Diagnostics GmbH, Mannheim, Germany). The researcher personally recorded all the data on a pre-designed proforma.
SPSS version 20.00 was used to analyse every piece of data. Age, Hb level, serum ferritin level, BMI, and disease duration are quantitative variables for which mean and standard deviation were computed. For each of gender, smoking status, anaemia, and iron deficiency anaemia, frequency and percentage were computed. Age, gender, obesity, length of illness, and smoking status are effect modifiers. The 95% confidence interval post- stratification chi-square test was used, and a p-value of 0.05 was regarded as statistically significant.
RESULTS
A total of 40 patients met the inclusion criteria for this study. Patients' average ages ranged from 40.44 ±14.268 years, and their haemoglobin levels were 8.77 ±3.14. Patients' serum ferritin levels were 10.56±3.21 and their BMI was 24.5±3.21 respectively. (As shown in Table 1). There were 85 males (60.7%) and 55 females (39.3%), respectively. In this study, 80 individuals (57.1%) with obesity and 55 patients (39.3%) who did not smoke were both participants. In this study, 60 subjects (42.9%) were not obese. (As shown in Table 2). Of the H. pylori patients, there were 70 (or 50%) anaemic patients and 70 (or 50%) with normal Hb levels. In this study, 102 individuals (72.9%) had normal serum profiles while 38 patients (27.1%) had IDA. (As shown in Table 3).
Age, gender, smoking status, and duration of H. pylori were used to stratify patients for anaemia. The results showed that gender, smoking status, and age had significant results with p- values of 0.001, 0.04, and 0.01 respectively, while obesity and duration of H. pylori had non-significant results with p-values of 0.17 and 0.10, respectively. (As shown in Table 4)
With regard to gender, smoking status, obesity, age, and duration of H. pylori, stratification for iron deficiency anaemia was done. The results showed that gender, smoking status, obesity, age, and duration of H. pylori had significant results with (p- value=0.001), (p-value=0.001), (p-value=0.01), (p-value=0.03), and (p-value=0.001) respectively. (As shown in Table 5) of the above information write to me a research paragraphs of the data collection