Assessment of health-related quality of life in hypertensive hemodialysis patients

Introduction

Hypertension (HTN) is one of the diseases that prevail every day in the world. According to the European Society of Cardiology and the European Society of Hypertension (ESC/ESH), HTN can be defined as blood pressure (BP) ≥ 140/80 mmHg (Folb et al., 2015). HTN can be a cause or a complication of chronic kidney disease (CKD) (Klag et al., 1996; George et al., 2016). Therefore, with its prevalence, the number of reported cases of CKD is also increasing. HTN affects 30% of the general adult population and up to 90% of people with CKD (Kearney et al., 2005; Muntner et al., 2010). According to the World Health Organization (WHO), HTN causes 9.4 million deaths worldwide (Savoia et al., 2017). In South Asia, there are about three times more likely to be hypertensive at a younger age than European whites (King-Shier et al., 2019).

The burden of CKD in underdeveloped Asian countries like Pakistan is increasing, where a considerable proportion of 180 million are prone to chronic disease like HTN and CKD (Jessani, Bux & Jafar, 2014). Studies from the past reveal that the patients suffering from HTN with coexistent CKD experience a marked decrease in health-related quality of life (HRQoL). HTN alone does not significantly affect HRQoL; the actual impairment in HRQoL occurs due to comorbidities such as CKD (Converse et al., 1992). The physical activities, mental health and mobility of the patient are all severely affected due to these complications which lead to impaired HRQoL (Theodorou et al., 2011). Worldwide, the effects of HTN with coexistent CKD on the social and psychological well-being of patients increased over time (Soni et al., 2010). Nowadays, HRQoL of patients is considered an important outcome of medical treatment (Baker, 1996). Furthermore, HRQoL is measured to assess the impact of the disease on the health of patients (McHorney, 1999). Many studies have reported on the HRQoL of HTN patients, but the combined effect of HTN and CKD on hemodialysis patient health is poorly understood (Kusek et al., 2002). It is therefore necessary to conduct a study to measure the HRQoL of these patients.

Over the past decades, the EuroQol 5-dimensional instrument (EQ-5D) has been recommended as a generic preference-based instrument for assessing the HRQoL in patients worldwide (Sullivan et al., 2020). However, its new version with a five level scale, namely EQ-5D-5L, was strongly recommended due to its reducing ceiling effect. The good validity and reliability of EQ-5D-5L in chronic diseases has been established (Dyer et al., 2010; Ascef et al., 2017; Huang et al., 2018; McClure et al., 2018). The relative effects of HTN and associated comorbidity on HRQoL using EQ-5D-5L in Pakistan have not been investigated. The objective of the study was to assess the HRQoL in hypertensive hemodialysis patients.

Materials and Methods

Results

A total of 517 patients responded successfully and completed EQ-5D questionnaire in all three stages (initial visit, first follow-up and second follow-up) of this study. Patient’s socio-demographic characteristics are presented in Table 1. The comparison of clinical data at three different stages (initial visit, first and second follow-up) of the patients that participated in this study has been shown in Table 2. There is no evidence of statistically significant difference in BMI at each stage. A statistically significant decrease was observed between the initial visit and the second follow-up with respect to diastolic BP. There was an increase in systolic BP at first stage and decrease in second stage resulting in the overall improvement. Similarly, a statistically significant improvement in EQ-5D VAS score was observed from initial visit to first follow-up and then from first follow-up to second follow-up (p ≤ 0.001) in all the statistically significant results.

Table 3 represents EQ-5D VAS score’s indexed quality of life by socio-demographic characteristics at baseline and follow-ups. In the gender variable, females tended to have higher VAS scores (57.56, 58.87 and 59.47 at initial visit, first and second follow-up respectively) as compared to males (55.66, 57.20 and 57.38 at initial visit, first and second follow-up respectively). The patients falling in the age category of 19–29 had the highest value of VAS scores (69.43, 69.11 and 69.66 at initial visit, first and second follow-up respectively) as compared to the rest age groups. The patients who didn’t exercise had the lowest VAS scores (54.08, 55.86 and 56.10 at initial visit, first and second follow-up respectively) while exercising patients had better scores as compared to them.

The patients who took normal quantity of salt in their diet showed the highest VAS values with 58.04, 58.79 and 60.22 at initial visit, first and second follow-up respectively and people taking high amount of salt in their diet showed lowest VAS scores and that value remained constant in the latter two stages of study as well. The patients with no family history of HTN had a slightly better VAS score as compared to persons having family history of HTN. The persons with normal BMI showed the highest VAS values and the mean values obtained at the initial visit, first and second follow-up were 56.86, 58.89 and 59.01 respectively. Patients falling in underweight category had the lowest VAS values and the mean values obtained were 52.89, 55.49 and 55.58 at initial visit, first and second follow-up respectively. As it is seen from Table 3, there are no significant differences in VAS scores depending on salt intake, BMI and HTN family history. And such tendency is observed in all three visits.

Multivariate linear regression analysis of EQ-5D-VAS score and variables (socio-demographic and clinical) are shown in Table 4. EQ-5D VAS scores in each stage are considered as dependent variable and, socio-demographic and clinical variables are considered as predictors. Meanwhile, p < 0.05 shows the statistically significant effect and contribution of the coefficient of each category and variable in EQ-5D VAS score. The p-value of the 19–29 and 30–39 age categories had a significant positive effect on the EQ-5D-VAS score at the initial visit, the first follow-up and the second follow-up. Respondents who were not able to work or do a job/job and who didn’t exercise had a lower HRQoL than others. While respondents who consumed little salt had a good HRQoL compared to others. BMI had a significant positive while HTN had a significant negative effect on HRQoL.

Percentages of participants with regard to EQ-5D-5L dimensions and levels reporting the degree of severity are presented in Figs. 1A–1E (graphs). 5 different levels including “no problems”, “slight problems”, “moderate problems”, “severe problems” and “extreme problems” were used to represent each of the dimensions including mobility, self-care, casual activity, pain/discomfort and anxiety/depression.

The most frequently observed problematic dimension was pain and discomfort. Almost 86.5% of patients experienced pain and discomfort during the first visit. This percentage declined to 85.5% then to 85.3% in the following two phases (first and second follow-up) respectively. In the self-care dimension, 35.4% of patients reported management problems at the time of the initial visit. This percentage decreased to 24.4%, then to 28.6% on the first and second follow-up, respectively showing a positive overall response.

Concerning the fifth level of severity (“extreme problems”) the following results were observed. In mobility, 6.8% patients were noted that were unable to move and this value decreased to 6.2% and then increased to 7% for the next two stages (first and second follow-up). In self-care dimension, 8.3% patients were not able to wash or dress themselves at initial visit and this value declined to 0.4% at the first follow-up and then rose to 7.5% during second follow-up. In usual activities dimension there was a marked improvement noticed in level five values. 19.7% of the patients were unable to do their usual activities at the initial visit and that value decreased to 18.6% and 15.1% in the next two phases (1st and 2nd follow-up) respectively. 4.4% patients were in extreme pain or discomfort and this number decreased to 4.1% at the first follow-up and 3.5% at the second follow-up. In anxiety/depression, 13.7% patients were extremely anxious or depressed at initial phase and this value rose to 15.1% and then decreased to 13.9% in the next two phases (first and second follow-up) respectively. Majority of patients had no problem with the dimension of self-care (64.6%, 76.6% and 71.4% in the three phases of the study respectively).

Discussion

HRQoL is often considered to be equal, if not more important than quantity of life. Our results showed significant improvement in the systolic BP, diastolic BP and EQ-5D VAS score from initial visit to first follow-up and second follow-up respectively (p ≤ 0.001). It was due to the fact that majority of the patients (60.5%) were taking less salt in their diet and were following the instructions of physician after consultation. In our study, the most frequently observed problematic dimension of EQ-5D-5L was pain/discomfort and the dimensions like self-care and usual activities were least affected. These results are consistent with the recent studies conducted in China (Liang et al., 2019), Bulgaria {Encheva, 2020 #14} (Encheva et al., 2020) and Trinidad and Tobago (Bailey et al., 2019) where the problematic dimension was also pain/discomfort). Our study contradicted that of Wang et al. (2009), who reported HTN association with the dimension anxiety/depression. This might be due to the fact that we included hypertensive hemodialysis patients with CKD than HTN alone. It showed that co-morbidities along with HTN had a severe effect on HRQoL.

In our study, the EQ-5D VAS score was higher in women than in men. These results contradict a cross-sectional study of African Americans with chronic insufficiency using 36-Item Short-Form (SF-36) (Kusek et al., 2002) and a study of Bulgarian population norms (Encheva et al., 2020) where the results were significantly higher in men than women. These inconsistent results could be due to changes in geographical regions and the climatic conditions.

Hypertensive patients are usually cautioned not to limit physical activity to avoid worsening of HTN (Bakker et al., 2018). However, our study showed that hypertensive hemodialysis patients with concomitant CKD limited their mobility and physical activities, because renal dysfunction in patients with CKD might prevent physical activities and lower the HRQoL. Finally, the quality of life of participants indexed by EQ-5D-VAS score was observed according to their socio-demographics, and statistically significant results were obtained in the majority of variables namely; age, employment status, marital status, education and exercise (p < 0.05). In the same way, multivariate linear regression analyses of EQ-5D- VAS score at different phases showed significant results for socio-demographic and clinical variables. It shows that the HTN with renal failure is associated with all these variables that affect the quality of life of the patients. These results are consistent with the results of Khosravi et al. (2010) where the education, income, occupation and marital status were all associated with quality of life of hypertensive patients. Our data is also compatible to the results of African American study with CKD where employment status, education level, BMI, exercise status, age and marital status showed statistically significant results (Kusek et al., 2002). It is recognized that socio-economic factors have a significant influence on following physician’s instructions in hypertensive patients (Czarnecka et al., 2006); therefore, these results may be partly ascribing to increased treatment adherence among some groups of participants. We found the reduced HRQoL among the hypertensive patients in pain/discomfort (4th dimension of EQ-5D-5L) to the great extent due to coexistent CKD. Our study found that low salt-intake, regular exercise and maintaining a standard BMI were the main factors for good HRQoL.

Our study is limited because the questionnaire used to collect data from patients only asks patients what they are feeling today. Therefore, sudden episodes of pain or discomfort can lead to an inappropriate response. As the questionnaire is a self-assessment, patients can report high HRQoL when they adjust to the symptoms of the disease.

Conclusion

HTN with coexistent CKD severely affects HRQoL. Pain/discomfort is the most severely affected dimension in participants. Following the dialysis schedule, the proper treatment of HTN and physician consultation are the key strategies to maintain the HRQoL of these patients. A good management of the disease may improve the quality of life of patient that can be preferably checked by EQ-5D-5L.

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