A Joint Model for a Longitudinal Pulse Rate and Respiratory Rate of Congestive Heart Failure Patients: at Ayder Referral Hospital of Mekelle University, Tigray, Ethiopia

Fissuh, Yemane Hailu; Muleta, Geremew

doi:10.4172/2155-6180.1000260

Cited by 9 publications

(24 citation statements)

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“…The joint mixed effect model with unstructured covariance (AIC 12,236.9 with = 1007.8, P < 10 −4 ) was significantly best fit to the covariates. This results in line with [ 18 , 19 ] as they used a joint model for a longitudinal data and obtained the best final model with UN compared to others.…”

Section: Main Textsupporting

confidence: 88%

Bivariate longitudinal data analysis: a case of hypertensive patients at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia

2017

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ObjectiveLongitudinal data are often collected to study the evolution of biomedical markers. The study of the joint evolution of response variables concerning hypertension over time was the aim of this paper. A hospital based retrospective data were collected from September 2014 to August 2015 to identify factors that affect hypertensive. The joint mixed effect model with unstructured covariance was fitted. A total of 172 patients screened for antihypertensive drugs treated were longitudinally considered from Felege Hiwot referral.ResultsThe joint mixed effect model with unstructured covariance (AIC: 12,236.9 with = 1007.8, P < 10−4) was significantly best fit to the data. The correlation between the evolutions of DBP and SBP was 0.429 and the evolution of the association between responses over-time was found 0.257. Among all covariates included in joint-mixed-effect-models, sex, residence, related disease and time were statistically significant on evolution of systolic and diastolic blood pressure. The joint modeling of longitudinal bivariate responses is necessary to explore the association between paired response variables like systolic and diastolic blood pressure. Fitting joint model with modern computing method is recommended to address questions for association of the evolutions with better accuracy.

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Section: Main Textsupporting

confidence: 88%

Bivariate longitudinal data analysis: a case of hypertensive patients at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia

2017

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“…This means that if pushed out blood in the left ventricle in each heart beat increased by one percent, the average pulse rate of patients deceased by 11.10%. This nding is in line with other studies [7,11], which showed that LVEF were found to be negatively associated with the average evolution of pulse rate. However, our nding contradicts with the earlier study by Nesbitt, Doctorvaladan [17] which shows that no evidence of an association between left ventricular ejection fraction and quality of life of HF patients.…”

Section: Interpretation and Discussion Of The Resultssupporting

confidence: 93%

“…When the age of a patient increases by one year, the average pulse rate of patients is decreased by 8.88%, while all other predictors are held constant (P = 0.0040). This nding is in line with other studies [7,11,16], which showed that ages were found to be negatively associated with the average evolution of PR.…”

Section: Interpretation and Discussion Of The Resultssupporting

confidence: 93%

“…This implies that the progression of the average pulse rate of NYHA class IV patients starting CHF treatment were higher by 3.3619 than those NYHA class II patients. This nding is in line with other studies [7], which showed that NYHA class had positively signi cantly associated with PR. Moreover, this nding is in line with the previous nding by Nesbitt, Doctorvaladan [17] which shows that Higher NYHA class reduced the quality of life of CHF patients.…”

Section: Interpretation and Discussion Of The Resultssupporting

confidence: 93%

“…The heart rate/pulse rate is the number of times the heart beats in one minute and it is used to know whether abnormal or irregular pulse rate, or heart block occurred or not. The normal resting heart rate is nearly 60 to 80 beats per minute [7]. There are not common body parts of a patient for taken heart rate measurement [8].…”

Section: Introductionmentioning

confidence: 99%

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Determinants of Pulse Rate change and Time-To Default from Treatment among Congestive Heart Failure Patients in Felege- Hiwot Referral Hospital, Bahir Dar, Ethiopia; comparison of separate and joint models

Moyehodie¹,

Yesuf²,

Sied³

et al. 2021

Preprint

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Background: Globally, heart failure is a rapidly growing public health issue with an estimated prevalence of >37.7 million individuals. It is a shared chronic phase of cardiac functional impairment secondary to many etiologies. The main purpose of this study was to identify factors that affect the longitudinal changes of pulse rate and survival endpoints, time-to default among Congestive Heart Failure Patients in Felege- Hiwot Referral Hospital, Bahir Dar, Ethiopia.Methods: Hospital based retrospective studies were conducted among 302 congestive heart failure patients who were 15 years old or older and who were on treatment follow-up from the first February 2016 to thirty-one December 2018 in Felege-Hiwot Referral Hospital, Bahir Dar, Ethiopia. First, data were analyzed using linear mixed model and survival models separately, and then the joint models of both sub-models were analyzed by linked their shared unobserved random effects using a shared parameter model. Results: Out of the total 302 CHF treatment followers, 103 (34.1%) of the patients were defaulting from treatment. The mean pulse rate of female and male patients was 87.25 and 90.20, respectively. Averagely 51.12 % of blood in the left ventricle is pushed out with each heartbeat. The results for separate and joint models were quite similar to each other but not identical. However, the estimated association parameter (α) in the joint model is (HR=1.0311, 95%CI: 1.0033,1.0597, P=0.0278), providing there is evidence of a positive association between the survival and the longitudinal sub-models. Thus, defaulting is more likely to occur in patients with higher pulse rates. Patients, being male, hypertensive, CKD, pneumonic, and NYHA class IV patients were associated with a higher risk of defaulting. Age, LVIF, follow-up time in a month had a negative significant effect and NYHA class, and male gender had a positive significant effect on average evaluation of pulse rate of patients. Conclusions: The patient who are male, NYHA class IV, had low LVIF and comorbid with hypertensive, CKD, pneumonia were risk factors of pulse rate change and defaulting from treatment of CHF patients. The joint model was preferred for simultaneous analyses of repeated measurement and survival data.

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Congestive Heart Failure Patients’ Pulse Rate Progression and Time to Death at Debre Tabor Referral Hospital, Ethiopia

Belay

Gebremichael

et al. 2021

Advances in Public Health

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Background. Heart failure is a progressive condition marked by worsening symptoms such as shortness of breath, coughing, exhaustion and lethargy, fluid retention with swelling of the legs and abdomen, and a reduced ability to exercise. As a result, this study aims to use a joint model application to determine the joint risk factors of longitudinal change in pulse rate and time to death of congestive heart failure patients and their association admitted to a hospital. Methods. A retrospective study was undertaken on congestive heart failure patients admitted to the Debre Tabor Referral Hospital from January 2016 to December 2019. A statistical joint modeling strategy was employed to match the repeated biomarker pulse rate and a survival outcome at the same time. A total of 271 patients with congestive heart failure were chosen. Data were analyzed with R statistical software via joineRML. Results. According to the findings, the association between longitudinal changes in pulse rate and time to death in heart failure patients is statistically significant. Sex, residence, left ventricular injection fraction, New York Heart Association class, and diabetes mellitus were all found to be significant risk factors for congestive heart failure patients’ short survival time to death. Age, sex, residence, hypertension, left ventricular injection fraction, congestive heart failure, diabetes mellitus, tuberculosis, and etiology were all significant contributors in pulse rate progression. Conclusion. The computed association parameters revealed subject-specific values. The subject-specific linear time slope of PR measurement was positively related to the hazard rate of time to death of CHF patients in the study area. To reduce the risk level of CHF, health professionals, governmental organizations, and nongovernmental organizations must promote and allocate a suitable amount of budget for the treatment of CHF patients.

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A Joint Model for a Longitudinal Pulse Rate and Respiratory Rate of Congestive Heart Failure Patients: at Ayder Referral Hospital of Mekelle University, Tigray, Ethiopia

Cited by 9 publications

References 0 publications

Bivariate longitudinal data analysis: a case of hypertensive patients at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia

Bivariate longitudinal data analysis: a case of hypertensive patients at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia

Determinants of Pulse Rate change and Time-To Default from Treatment among Congestive Heart Failure Patients in Felege- Hiwot Referral Hospital, Bahir Dar, Ethiopia; comparison of separate and joint models

Congestive Heart Failure Patients’ Pulse Rate Progression and Time to Death at Debre Tabor Referral Hospital, Ethiopia

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