COVID-19 Infection Among Hemodialysis Patients in Tikrit City

Saadoon, Israa Hashim; Hussein, Kamal Lateef

doi:10.2991/ahsr.k.211012.003

Cited by 2 publications

(4 citation statements)

References 14 publications

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“…Regarding recipient CMV, 2 (6.7%) patients and 30 (100%) patients exhibited positive IgM and IgG, respectively. Saadoon (2015) [13] examined the prevalence of CMV-IgG and IgM antibodies among hemodialysis patients and included 116 hemodialysis patients, which is similar to our study. CMV-IgG was discovered in 102 out of 116 individuals (87.9%), whereas CMV-IgM was discovered in 10 out of 116 patients (8.6%).…”

Section: Resultsmentioning

confidence: 52%

Impact of Cytomegalovirus (CMV) Infection on Renal Transplantation and Graft Rejection.

Ahmed

Fadel

Ghobrial

et al. 2022

GEGET

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Introduction: cytomegalovirus (CMV) infection is a common problem among kidney transplant patients. It can affect patient morbidity and graft survival. It is also associated with acute and chronic graft rejection. Aim of the study: The aim of this work is to show the prevalence and natural course post-kidney transplantation of CMV infection and the effect of CMV on patient morbidity and mortality. Methods: This cohort study was performed at Children Hospital, Cairo University during the period from May 2016 to January 2018, including thirty pediatric renal transplanted patients diagnosed as end-stage renal disease (ESRD) and had kidney transplantation. Patients were divided into two groups; patients' group with CMV infection and control group without CMV infection. CMV infection was diagnosed by quantitative polymerase chain reaction. Results: Patients were divided according to PCR as CMV positive group [8 patients (26.7%)] and negative group [22 patients (73.3%)]. There was a statistically significant difference between 2 studied groups as regard chest infection (p= 0.019), height (p= 0.003) and hemodialysis duration (p= 0.022) in the CMV positive patients. Urinary tract infection was the major co-morbidity in the 2 groups (59.1% in the negative patients and 75% in the positive patients), followed by hypertension (18.2% in the negative patients and 37.5% in the positive group). No statistically significant difference in the rejection episodes in both groups. Conclusion:CMV disease can increase the risk of infections like chest infection and UTI and a risk factor for cardiovascular diseases as hypertension

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Section: Resultsmentioning

confidence: 52%

Impact of Cytomegalovirus (CMV) Infection on Renal Transplantation and Graft Rejection.

Ahmed

Fadel

Ghobrial

et al. 2022

GEGET

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“…The function line fits well with the actual number, but because of the quick-shifted world spreading trend, there is still some data points can't be well predicted. The main point is, ARIMA (3,1,3) is the best predict model to predict the total world COVID-19 patients' number.…”

Section: Discussionmentioning

confidence: 99%

“…It's easy to see in the plot, there is a significant growth during the Spring of 2022 and the time period between the end of 2022 and the beginning of 2023. The bump during 2022 is mainly because the variant of Omicron, having stronger infectivity than the former one [2,3]. Also, some countries give up testing nucleic acid, so maybe there is data missing.…”

Section: The Overall Trend Of Covid-19 World Widementioning

confidence: 99%

“…The government imposed a strict quarantine on the city and restricted all non-essential travel, thus impose negative effect on the public's daily life. If the number of future infected individuals can be predicted as soon as possible, after the discovery of cases, it is crucial for public health management and the rational allocation of medical resources [3].…”

Section: Introductionmentioning

confidence: 99%

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Research of the Spread of Covid-19 in World Wide and Particular Countries

Zhu,

Peng,

Xie

et al. 2024

TMBLS

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To understand the spread of COVID-19, the data sets from Google and GitHub are obtained by using Python and R, and ARIMA model is established for prediction. By visualising the data sets, it can be found that the total trend of the COVID-19 is bimodal and reaches its peaks during the winter and spring time in 2022 and 2023, and this may due to the virus activity and government management. When taking into prediction, ARIMA (3,1,3) is the best predict model to forecast the overall spread trend of COVID-19 as the data is not normal distributed since it keeps fluctuating in the P-P plot, and it can be considered as time series, showing a seasonal pattern. This conclusion is drawn by calculating the values of AIC and BIC to see which model has smallest. At the same time, the ACF and PACF index could determine the p and q value in the model. The model can help to predict the spread of similar diseases.

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COVID-19 Infection Among Hemodialysis Patients in Tikrit City

Cited by 2 publications

References 14 publications

Impact of Cytomegalovirus (CMV) Infection on Renal Transplantation and Graft Rejection.

Impact of Cytomegalovirus (CMV) Infection on Renal Transplantation and Graft Rejection.

Research of the Spread of Covid-19 in World Wide and Particular Countries

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