Journal List > J Korean Med Sci > v.35(41) > 1146195

Kim, Kim, Chang, Kwon, Bae, and Hwang: Trends of Cause of Death among Human Immunodeficiency Virus Patients and the Impact of Low CD4 Counts on Diagnosis to Death: a Retrospective Cohort Study

Abstract

Background

Monitoring the full spectrum of causes of death among human immunodeficiency virus (HIV) patients has become increasingly important as survival improves because of highly active antiretroviral therapy. However, there are no recently published data regarding the changes in the causes of death among HIV patients based on year of HIV diagnosis, and the impact of low CD4 count at the time of HIV diagnosis on the clinical outcome is still unclear in Korea.

Methods

A retrospective cohort study was conducted with 801 patients with HIV infection who were followed up at a tertiary university hospital and diagnosed with HIV between July 1984 and October 2019. The causes of death were analyzed by descriptive analysis based on CD4 count and the year of HIV diagnosis. Kaplan–Meier and log rank tests were performed to compare the prognosis between the CD4 < 200 cells/mm3 and CD4 ≥ 200 cells/mm3 groups.

Results

Among 801 patients, 67 patients were eligible for the death cause analysis. Infection-related death accounted for 44 patients (65.7%) and non-infection related death accounted for 23 patients (32.4%). Pneumocystis pneumonia (29.9%) was the single most common cause of death in both past and present cases, and tuberculosis (19.4%) was the second leading cause of death from infections, but the frequency has declined in recent years. Causes of infection-related death have decreased, whereas non-infection related causes of death have increased remarkably. Malignancy-related death was the most common cause of non-infection related death. Acquired immunodeficiency syndrome (AIDS) non-related malignancy accounted for 11.9%, whereas AIDS-related malignancy accounted for 6.0% of the total death among HIV patients. No significant statistical differences were found in mortality rate (P = 0.228), causes of death (P = 0.771), or survival analysis (P = 0.089) between the CD4 < 200 cells/mm3 and CD4 ≥ 200 cells/mm3 groups.

Conclusion

Being diagnosed with CD4 < 200 cells/mm3 at the time of HIV diagnosis was not an indicator of greater risk of death compared with the CD4 ≥ 200 cells/mm3 group. Malignant tumors have become an important cause of death in recent years, and an increasing tendency of AIDS-non-related malignancy causes has been observed.

Graphical Abstract

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INTRODUCTION

Antiretroviral therapy (ART) has reduced the rates of morbidity and mortality among patients with human immunodeficiency virus (HIV) infection.12 In many regions, HIV infection is now widely considered as a manageable chronic disease, with the life expectancy of HIV patients receiving ART approaching that of the general population in some settings.34 Survival after the diagnosis of HIV has also continued to improve over time since highly active antiretroviral therapy (HAART) was introduced in Korea in 1991.5 Along with increased survival, the causes of death among HIV-infected patients have also changed gradually. As a result of the dramatic reduction in mortality resulting from acquired immunodeficiency syndrome (AIDS) defining illness, the proportion of non-AIDS-related death has increased in the HAART era.6 A recently published Canadian population-based cohort study showed that non-AIDS-defining cancers are currently the leading non-AIDS-related cause of death among HIV-infected patients. A previous study conducted in Korea showed that the proportion of AIDS-related death remained higher than non-AIDS-related death between 1990 and 2011. Since then, although an increase in survival has been documented, there have not been any recently published data regarding the specific causes of death among people diagnosed with HIV in Korea. According to a study forecasting cause-specific mortality in Korea, causes of death regarding HIV and AIDS are estimated to increase from 2002 to 2030.7 However, until now, little data has been available on the causes of death in HIV patients in Korea, which could be useful information to help focus on appropriate interventions to improve the rates of morbidity and mortality of HIV patients. In addition, with the ongoing national Korean multicenter cohort research data, there is a limitation to investigate the changes in the cause of death because 73.8% of the data on causes of death are missing.8
This study aimed to evaluate the changes in the causes of death among HIV-infected patients in Korea in the era of ART according to the HIV diagnosis and death period. In addition, we aimed to elucidate the prognosis of low CD4 counts at the time of HIV diagnosis.

METHODS

Study design and population

A retrospective hospital-based cohort study was conducted to assess the causes of death among HIV-infected patients, as well as the impact of HIV patients diagnosed with low CD4 count. Kyungpook National University Hospital is a 914-bed, university-affiliated teaching hospital and provides care for HIV patients in Korea. The hospital started to treat HIV patients in 1987. This study included patients who were diagnosed with HIV between July 1984 and October 2019 at Kyungpook National University Hospital and who were 18 years old or older at the time of diagnosis were followed up through the end of October 2019. Medical records were reviewed for time of diagnosis, date of death, follow-up period, and disease causing the death. Furthermore, we reviewed the national health insurance status of HIV patients to determine the possible impact on their long-term prognosis of survival. Patients were classified according to a CD4 count less than 200 cells/mm3 or more than 200 cells/mm3 at the time of diagnosis. The survival analysis between CD4 count < 200 cells/mm3 and CD4 count ≥ 200 cells/mm3 groups were conducted to compare the effect of CD4 count on long-term mortality.

Definitions

A CD4 count less than 200 cells/mm3 was defined as the CD4 < 200 cells/mm3 group, and a CD4 count more than 200 cells/mm3 was defined as the CD4 ≥ 200 cells/mm3. The survival period was defined as the time of the first HIV diagnosis time to death. The Korean National Health Insurance is operated by the government and it covers the entire population residing within the territory of Korea except for beneficiaries of medical aid, approximately 98% of the Korean population of 48.4 million. The medical aid program (MAP) is a benefit program for the underprivileged for which eligibility is determined based on the patients' income level.9 Cause of death was defined as the main conditions that initiated the sequence of events resulting in death. Cause of death was determined by the medical records written by an infectious disease specialist who had taken care of the patient if the patient died in the study hospital. If the patient died outside of the study hospital, cause of death records were collected from the HIV/AIDS consultation center in the study hospital. The cause of death was investigated by 4 classification methods. Category 1 was classified as mainly infection and non-infection. Category 2 was classified as Pneumocystis pneumonia (PCP), tuberculosis (TB), other infections, malignancy, other non-infections, and cerebrovascular disease. Category 3 was classified as AIDS-related diseases, AIDS-non-related infection and others. Category 4 was classified as AIDS-related infection, AIDS-related malignancy, AIDS-non-related infection, AIDS-non-related malignancy, and others. Cause of death was categorized as an AIDS death if the stated cause was an AIDS-defining opportunistic infection or malignancy. AIDS-defining illness and clinical categories were defined by the 1993 Centers for Disease Control and Prevention classification criteria.10 Cause of death was classified as a non-AIDS death for patients who died of other conditions, which was further categorized into bacterial infection and sepsis, AIDS-non-related malignancy, cardiovascular disease, liver disease, pulmonary disease, gastrointestinal disease, hematological disease, or accidental cause, including injury and suicide. Other opportunistic diseases, including PCP, were diagnosed according to the criteria suggested by the Centers for Disease Control and Prevention.10 TB death includes definite, probable, or possible cases: definite if culture for Mycobacterium tuberculosis was positive, probable if clinical symptoms and signs consistent with TB were present and stain was positive for acid-fast bacilli or if there were histological findings consistent with TB, and possible if clinical and radiological signs consistent with TB were present and there was an improvement with standard anti-TB therapy. Hepatitis B virus infection was defined as positive hepatitis B virus surface antigen in the serum. Hepatitis C virus infection was defined as the presence of hepatitis C virus antibody with positive RNA in serum. Renal disease was defined as chronic kidney disease, either on hemodialysis or not. Heart disease was defined as arrhythmia, heart failure, or coronary heart disease. The World Health Organization (WHO) clinical staging system for HIV and AIDS was used for baseline assessment of patients.11

Statistical analysis

Descriptive statistics were used to characterize the cohort. Categorical variables were compared using Fisher's exact test, whereas non-categorical variables were tested with the Mann-Whitney U test. Kaplan–Meier and log rank tests for death were performed to compare survival between patients diagnosed with CD4 < 200 cells/mm3 and patients with CD4 ≥ 200 cells/mm3. We used the HIV diagnosis date as the time of entry and follow-up was censored on the death date. For cause-specific analyses, data were also censored at death data from any other cause. All tests were considered statistically significant at a P value of less than 0.05. The statistical analyses were performed using R statistics, version 4.0. (The R Foundation, https://www.r-project.org, Vienna, Austria).

Ethics Statement

This study was reviewed and approved by the Institutional Review Board of Kyungpook National University Hospital (approval No. 2020-06-057), which waived informed consent.

RESULTS

Description of study population

Between July 1984 and May 2019, a total of 801 patients attended the study hospital. Among 801 HIV follow-up patients, there were 71 confirmed deaths at Kyungpook National University since 2000. Of these 71 HIV patients, 56 patients died at the study hospital and 15 others died outside of the hospital. Four patients who had unknown cause of death were excluded, leaving 67 patients to be included in the death cause analyses. Among the 801 patients, about 145 patients were confirmed to be lost to follow-up, and the cause of follow-up loss was being transferred to other hospitals or to their home countries for foreigners. The baseline characteristics of the 801 patients are shown in Table 1. Of the patients, 728 (90.9%) patients were male and 73 (9.1%) were female. The mean age at the time of HIV diagnosis was 36 years old. Six hundred and twenty-seven patients (78.3%) were supported by national health insurance and 174 (21.7%) were supported by MAP. By the end of 2019, 71 patients (8.9%) in the cohort had died and 730 patients (91.1%) remained alive (Table 1).
Table 1

Characteristics of 801 HIV patients according to CD4 count at the time of HIV diagnosis

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Diagnosis CD4 ≥ 200 (n = 577) CD4 < 200 (n = 224) Total (n = 801) P value
Sex 0.802
Male 523 (90.6) 205 (91.5) 728 (90.9)
Female 54 (9.4) 19 (8.5) 73 (9.1)
Age at the HIV diagnosis 35.0 (26.0–44.0) 40.0 (32.0–49.0) 36.0 (27.0–46.0) < 0.001
Current age or age at time of death 46.0 (33.0–55.0) 47.0 (39.0–58.0) 47.0 (35.0–56.0) 0.017
Current age or age at time of death, > 60 yr 0.024
Yes 504 (87.3) 181 (80.8) 685 (85.5)
No 73 (12.7) 43 (19.2) 116 (14.5)
Health insurance status 0.680
NHI 449 (77.8) 178 (79.5) 627 (78.3)
MAP 128 (22.2) 46 (20.5) 174 (21.7)
Death 0.228
Survival 521 (90.3) 209 (93.3) 730 (91.1)
Dead 56 (9.7) 15 (6.7) 71 (8.9)
Duration from HIV diagnosis to death, day 2,349.0 (888.0–4,538.0) 2,622.0 (1,115.0–3,741.0) 2,447.0 (982.0–4,242.0) 0.733
Data are presented as number (%) or median (interquartile range).
HIV = human immunodeficiency virus, NHI = national health insurance, MAP = medical aid program.
These 801 patients were grouped according to their CD4 count when they were diagnosed. There were 224 patients in the CD4 < 200 cells/mm3 group and 577 patients in the CD4 ≥ 200 cells/mm3 group. There was no statistical significance in sex distribution or health insurance status between the 2 groups. The mean age at the time of diagnosis was significantly higher in the CD4 < 200 cells/mm3 group (35.0 vs. 40.0; P < 0.001). Current age or age at the time of death was also significantly higher in the CD4 < 200 cells/mm3 group (46.0 vs. 47.0; P = 0.017), whereas current age or death at 60 years or older showed lower in the CD4 < 200 cells/mm3 group (P = 0.024). Mortality was 6.7% in the CD4 < 200 cells/mm3 group and 9.7% in the CD4 ≥ 200 cells/mm3 group (P = 0.228). Median follow-up period from HIV diagnosis to death was 2,622 days in the CD4 < 200 cells/mm3 group and 2,349 days in the CD4 ≥ 200 cells/mm3 group (P = 0.733). No significant statistical difference was found between the 2 groups (Table 1). However, mortality rate (per 1,000 person-years) was 9.6 in the CD4 < 200 cells/mm3 group and 12.3 in the CD4 ≥ 200 cells/mm3 group.
Characteristics of HIV-infected patients who died according to CD4 < 200 cells/mm3 or CD4 ≥ 200 cells/mm3 at the time of HIV diagnosis showed no statistical difference in terms of sex distribution, age at the time of HIV diagnosis, age at the time of death, death at age 60 years or older, health insurance coverage status, place of death, stages of HIV infection at the time of HIV diagnosis and death, ART treatment history, or history of underlying diseases and AIDS-related diseases, except diagnosed year distribution (Supplementary Tables 1 and 2).

HIV patient prognosis based on CD4 count and health insurance status at the time of HIV diagnosis

Kaplan–Meier survival analysis estimated changes in survival over time by diagnosis year CD4 count. The mortality of 71 patients, regardless of the cause of death, in the CD4 < 200 cells/mm3 group was not statistically different from the CD4 ≥ 200 cells/mm3 group (log-rank, P = 0.380) (Supplementary Fig. 1). Kaplan–Meier and log rank tests were analyzed for the 67 patients with confirmed cause of deaths and long-term survival rate analysis showed no statistical difference between the two groups (log rank, P = 0.089) (Fig. 1). However, the short-term survival rate (HIV diagnosis to death within three months) showed a higher survival rate in groups with CD4 counts less than 200 at the time of diagnosis (log-rank, P = 0.002).
Fig. 1

Kaplan–Meier and log rank tests for 67 patients with confirmed cause of deaths diagnosed with CD4 < 200 cells/mm3 and CD4 ≥ 200 cells/mm3 at the time of HIV diagnosis.

HIV = human immunodeficiency virus.
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Kaplan–Meier and log rank tests were conducted for the 71 death patients according to medical health care status. The mortality of the MAP group showed no statistical difference from the national health insurance group (log-rank, P = 0.054) (Supplementary Fig. 2).

Causes of death

When the causes of death were divided into infection and non-infection, as shown in category 1, 44 (65.7%) of the 67 deaths were confirmed to be the result of infection, whereas only approximately half of the total deaths (23 [32.4%]) were the result of non-infectious causes (Table 2).
Table 2

Causes of death among human immunodeficiency virus-infected patients

jkms-35-e355-i002
Categories CD4 ≥ 200 (n = 56) CD4 < 200 (n = 11) Total (n = 67) P value
Category 1 0.615
Infection 38 (67.9) 6 (54.5) 44 (65.7)
Non-infection 18 (32.1) 5 (33.3) 23 (32.4)
Category 2 0.771
PCP 17 (30.4) 3 (27.3) 20 (29.9)
TB 12 (21.4) 1 (9.1) 13 (19.4)
Other infections 9 (16.1) 2 (18.2) 11 (16.4)
Malignancy 9 (16.1) 2 (18.2) 11 (16.4)
Other non-infections 7 (12.5) 3 (27.3) 10 (14.9)
Cerebrovascular disease 2 (3.6) 0 (0.0) 2 (3.0)
Category 3 0.488
AIDS-related 36 (64.3) 5 (45.5) 41 (61.2)
AIDS-nonrelated 11 (19.6) 3 (27.3) 14 (20.9)
Othersa 9 (16.1) 3 (27.3) 12 (17.9)
Category 4 0.744
AIDS-related infection 33 (58.9) 5 (45.5) 38 (56.7)
AIDS-related malignancy 3 (5.4) 0 (0.0) 3 (4.5)
AIDS-non-related infection 5 (8.9) 1 (9.1) 6 (9.0)
AIDS-non-related malignancy 6 (10.7) 2 (18.2) 8 (11.9)
Othersa 9 (16.1) 3 (27.3) 12 (17.9)
Data are presented as number (%).
PCP = Pneumocystis pneumonia, TB = tuberculosis, AIDS = acquired immunodeficiency syndrome.
aOthers = liver cirrhosis 3, suicide 3, cerebrovascular disease 2, emphysema 1, pancreatitis 1, cardiovascular disease 1, burn 1.
In all patients, regardless of CD4 counts, the most common cause of death was PCP (20 patients [29.9%]), followed by TB (13 patients [19.4%]), as shown in category 2. Other infections included bacterial pneumonia (5 patients [7.5%]), sepsis (3 patients [4.5%]), cytomegalovirus infection specified as cytomegalovirus encephalitis (1 patient [1.5%]), pseudomembranous colitis (1 patient [1.5%]), and cryptococcal meningitis (1 patient [1.5%]) (Supplementary Fig. 3).
Non-infection related death was identified in 23 patients (Supplementary Fig. 4). Eleven HIV patients were determined to have malignancy-related deaths, diagnosed as liver cancer (3 patients [4.5%]), lung cancer (3 patients [4.5%]), lymphoma (2 patients [3.0%]), cerebral lymphoma (1 patient [1.5%]), leukemia (1 patient [1.5%]), and anal cancer (1 patient [1.5%]). AIDS-related malignancy accounted for 4.5% of the total deaths among HIV patients, and AIDS-non-related malignancy accounted for 11.9%. Among the 11 patients with malignancy-related death, AIDS-related malignancy death was found in 4 patients (36%) and AIDS-non-related malignancy death was found in 7 patients (64%) (Supplementary Fig. 5).
Other non-infection related death causes were identified as liver cirrhosis (3 patients [4.5%]), suicide (3 patients [4.5%]), cerebrovascular disease (2 patients [3.0%]), pancreatitis (1 patient [1.5%]), emphysema (1 patient [1.5%]), cardiovascular disease (1 patient [1.5%]), and burns (1 patient [1.5%]).
Regardless of the time of HIV diagnosis and CD4 counts, AIDS-related causes of death accounted for 41 patients (61.2%) and AIDS-non-related causes of death accounted for 26 patients (38.8%) (Table 2). The distribution of the 26 AIDS-non-related causes of death included AIDS-non-related malignancy (7 patients [26.9%]), bacterial infection and sepsis (6 patients [23%]), accidental cause (6 patients [23%]), liver disease (3 patients [11.5%]), and cardiovascular disease, pulmonary disease, gastrointestinal disease (1 patient each [3.8%]) (Supplementary Fig. 6).
The results of causes of death between CD4 < 200 cells/mm3 group and the CD4 ≥ 200 cells/mm3 group showed that infection accounted for 54.5% and 67.9%, and non-infection-related death accounted for 33.3% and 32.1%, respectively (P = 0.615). There was no statistical difference in the cause of death distribution between the 2 groups, regardless of category classification (Table 2).
Changes in causes of death at different times of HIV diagnosis with 5-year intervals were evaluated. Significant changes over time were seen in the past 10 years. Infection-related deaths have decreased, whereas malignancy-related deaths have increased (Fig. 2). In particular, malignancy-related death has accounted for nearly 40% of the HIV patients diagnosed between 2014 and 2019. Although the PCP proportion was slightly reduced, it has continued to be the single most common cause of death among HIV patients (Fig. 2). According to AIDS-related death classification, AIDS-related deaths have decreased while AIDS-non-related deaths have increased (Fig. 3).
Fig. 2

Changes in cause of death in HIV patients based on the HIV diagnosis period (5-year intervals).

HIV = human immunodeficiency virus, CVD = cerebrovascular disease, TB = tuberculosis, PCP = Pneumocystis pneumonia.
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Fig. 3

Changes in cause of death in HIV patients based on the HIV diagnosis period according to the AIDS-related death classification (5-year intervals).

HIV = human immunodeficiency virus, AIDS = acquired immunodeficiency syndrome.
jkms-35-e355-g003
Among 67 death cases based on the year of death at 4-year intervals, it is noteworthy that the cause of death from malignancy has recently become the most common between 2015 and 2019 (Supplementary Fig. 7). AIDS-related deaths have decreased, whereas AIDS-non-related infection and malignancy have increased over the past 12 years. A remarkable trend in causes of death is that AIDS-related infection has decreased, while AIDS-non-related malignancy has increased between 2015 and 2019 (Supplementary Fig. 8).

DISCUSSION

In this study, we had a follow-up period of more than 20 years to monitor the changes in causes of death and the impact of low CD4 counts at the time of HIV diagnosis on death among HIV-infected patients in Korea. We elucidated that HIV patients diagnosed with CD4 < 200 cells/mm3 were not at greater risk of death compared with the CD4 ≥ 200 cells/mm3 group. Our study showed that PCP was the single most common cause of death among HIV patients in both the past and present, and that TB was the second leading cause of death from infections. These are similar to results of a previous study conducted in Korea between 1990 and 2011,6 but the frequency of these diseases has decreased in recent years. Malignant tumors have become an important cause of death in recent years, and an increasing tendency of AIDS-non-related malignancies was observed.
It is important to identify prognostic factors for survival among HIV-infected patients. Based on previous studies, CD4 cell count was suggested as the most important prognostic factor among the main risk factors for death.1213 It has been reported that CD4 cell count at the time of HIV diagnosis is the predominant prognostic factor for survival,14 and baseline CD4 counts are more relevant for AIDS-related causes of death. This observation has shown important implications for the clinical management of HIV patients.15 CD4 count at the start of ART is strongly associated with short-term survival, but its association with longer-term survival is less well characterized. A recent study conducted in North America and Europe suggested that patients with low baseline CD4 cell count only carry the burden of increased risk of death up to 5 years after ART.16 Another study conducted in China also showed that baseline CD4 count becomes a weak prognostic factor after 6 months of starting ART.17
In our study, there was no significant difference observed regarding long-term survival coming from baseline low CD4 count in this study. Though, the short-term survival rate (HIV diagnosis to death within 3 months) showed a higher survival rate in groups with CD4 counts less than 200 at the time of diagnosis. Among CD4 count < 200 cells/mm3 group patients, those who died within three months were not identified, which could be interpreted as a study limitation of the distribution of patients. This result showed that it is difficult to identify the association between the CD4 counts at the time of HIV diagnosis and short-term mortality rate, and further studies are needed to evaluate the associations.
Although our study did not include the ART status near the time of HIV diagnosis, we showed that WHO HIV stages at the time of HIV diagnosis and death were not statistically different between the CD4 < 200 cells/mm3 and CD4 ≥ 200 cells/mm3 groups.
A recently published prospective cohort study in Japan reported that late diagnosis (CD4 < 200 cells/mm3 at the first visit) was an independent risk factor for mortality among HIV patients.18 According to a previous large HIV population-based cohort study, the mortality rate was higher in patients with CD4 counts of 200 cells/mm3 or less, and a CD4 count of less than 200 is one of the factors associated with AIDS-related causes of death.19 However, in our study, the mortality rate and AIDS-related causes of death between CD4 < 200 cells/mm3 and CD4 ≥ 200 cells/mm3 groups showed no significant differences. This difference might be attributed to the fact that the previous study did not find a specific cause of death in 18.7% of patients.19
In addition, a previous study showed that socioeconomic disadvantage was strongly associated with poorer HIV treatment outcomes in settings with universal access to health care suggesting the importance of adherence to interventions and social support.20 Therefore, considering the association between socioeconomic status and drug adherence followed by compliance, we investigated the association of socioeconomic status with long term survival. We have found that a patient’s socioeconomic status did not show a statistical difference on the survival between the national health care group and MAP group, implying that other factors including the national HIV and AIDS strategy, which aimed to increase access to care, improve health outcomes and address health inequities might be playing an important role on an HIV patient's survival, as reported in a previous study.22122 Especially in Korea, there is no difference in access to hospitals based on income, as the government fully supports the cost of treating HIV patients. Even with late diagnosis, if the patients were on ART treatment, the clinical prognosis on survival could be similar, regardless of CD4 count at the time of HIV diagnosis and socioeconomic status.
HIV infection has become a chronic disease with the improvement of HIV treatment. Advances in ART, effectiveness in HIV suppression, decreased side effects, and increased ease of taking medications have contributed to these improvements.23 The introduction of combination ART also marked an important achievement toward prolonging the lifespan of HIV patients, resulting in shifting patterns in both mortality rates and leading causes of death in high-income countries.24
With more recent HIV diagnoses, HIV patients showed a tendency to die of non-infection-related causes. Among the non-infection death causes, malignancy accounted for approximately 40% of the deaths of patients diagnosed between 2014 and 2019, which is 2 times more than among cases diagnosed between 2008 and 2013.
Among HIV-infected patients, as rates of death owing to AIDS-attributable causes decreased, rates owing to non-AIDS-attributable causes also decreased, but the percentages of deaths resulting from non-HIV-attributable causes, such as heart disease and non-AIDS cancers, increased.25 It has been reported that AIDS-related deaths have decreased, whereas non-AIDS-related deaths, such as those because of non-AIDS malignancy or cardiovascular diseases, have increased among an aging cohort of HIV patients.2627
Korea is among the high-income countries, and our study also showed that AIDS-related deaths decreased, whereas non-AIDS-related deaths increased between 2015 and 2019. In New York, the percentage of deaths owing to non-AIDS-related causes increased by 32.8% (from 19.8% to 26.3%; P = 0.015) between 1999 and 2004. Among deaths owing to non-AIDS-related causes, 76% could be attributed to non-AIDS-defining types of cancer, cardiovascular disease, or substance abuse.28 A recently published Canadian population-based cohort study showed that non-AIDS-defining cancers are currently the leading non-AIDS-related cause of death in HIV-infected patients.29 Our study also showed that between the years of 2015 and 2019, AIDS-non-related disease has become an important cause of death and AIDS-non-related malignancy is currently the leading non-AIDS-related cause of death. It has been also confirmed that the incidence of malignant tumors increases with age, accounting for about 1% of those under 60 and about 4% of those over 60. The increasing number of HIV patients dying of diseases non-related to AIDS can be explained by the improvement of drugs and the improvement of patients' compliance through HIV counseling projects. Among non-AIDS-related deaths, the incidence of cerebrovascular disease was lower than expected and there was no death owing to cardiovascular disease or drug dependency in this study.
According to a study of specific causes of death in Japan between 2005 and 2016, AIDS-related malignancies accounted for 24%, non-AIDS-defining malignancies for 23%, and AIDS-defining infections accounted for 15%.18 Although the study period was somewhat different from our study period, the most common cause of AIDS-defining infection was PCP, which was similar to our study. However, the second most common cause of infection was found to be progressive multifocal leukoencephalopathy in Japan compared with our finding of TB in Korea. Infection cause of death priorities appear to be different depending on high prevalence infectious diseases, such as TB. Toxoplasmosis was found in 2 patients (0.01%) in the Japanese study. However, there was no death from toxoplasma infection in this study. Among the AIDS-defining malignancies, lymphoma was the most common cause in the Japanese study. Death from AIDS-associated malignancies was also caused mainly by lymphomas in this study. Death from the Kaposi’s sarcoma was found in 2 patients (0.015%) in the Japanese study, but there was no death from Kaposi's sarcoma in our study. Suicide as the cause of death accounted for 8.5% of deaths in Japan, whereas this accounted for 4.5% in our study.
This study has several limitations. First, our study was conducted at a single center in Korea. Therefore, our findings may not be generalized to other regions of the country. Nevertheless, this was the first study in Korea to elucidate the trends of causes of death in HIV patients in the past 20 years. Second, it was not possible to identify the survival of follow-up loss patients and, in cases of death outside of the hospital there was a restriction on the cause of death analysis. Therefore, we had to exclude 4 patients who died outside of the hospital with unidentified causes of death. However, these numbers did not seem significant compared with the total number of deaths among HIV patients included in the death cause analysis, accounting for approximately 5%. Third, our database did not include data regarding ART adherence. We could not identify whether the patients continued to receive ART near their deaths or not; nor could we identify ART start time after HIV diagnosis. This may result in bias in the interpretation of the survival results according to the baseline CD4 count difference. Nevertheless, we believe that this study is worthy of sustained attention because our study demonstrated that there was no statistical difference regarding ever ART history and long-term survival analysis of overall causes of death, including AIDS-related death between the CD4 < 200 cells/mm3 group and the CD4 ≥ 200 cells/mm3 group.
In conclusion, our results showed that patients diagnosed with CD4 < 200 cells/mm3 are not at greater risk of death than those with CD4 ≥ 200 cells/mm3, and those diagnosed with HIV in more recent years show a tendency to die from non-AIDS-related diseases, suggesting that the effectiveness of ART and improved and solid medical care cascade systems greatly contribute to this. Ongoing monitoring of mortality trends by causes of death will continue to be important and will provide the necessary data to enable appropriate targeting of interventions to improve the quality of patient care and reduce avoidable mortality.

Notes

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

  • Conceptualization: Kim Y, Kim SW.

  • Data curation: Kim Y, Kim SW.

  • Investigation: Kim Y, Bae S, Hwang S, Kwon KT, Chang HH, Kim SW.

  • Supervision: Kim SW.

  • Writing - original draft: Kim Y, Kim SW.

  • Writing - review & editing: Bae S, Hwang S, Kwon KT, Chang HH, Kim SW.

References

1. Mocroft A, Ledergerber B, Katlama C, Kirk O, Reiss P, d'Arminio Monforte A, et al. Decline in the AIDS and death rates in the EuroSIDA study: an observational study. Lancet. 2003; 362(9377):22–29. PMID: 12853195.
crossref
2. Palella FJ Jr, Delaney KM, Moorman AC, Loveless MO, Fuhrer J, Satten GA, et al. Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV outpatient study investigators. N Engl J Med. 1998; 338(13):853–860. PMID: 9516219.
3. Samji H, Cescon A, Hogg RS, Modur SP, Althoff KN, Buchacz K, et al. Closing the gap: increases in life expectancy among treated HIV-positive individuals in the United States and Canada. PLoS One. 2013; 8(12):e81355. PMID: 24367482.
crossref
4. Mills EJ, Bakanda C, Birungi J, Chan K, Ford N, Cooper CL, et al. Life expectancy of persons receiving combination antiretroviral therapy in low-income countries: a cohort analysis from Uganda. Ann Intern Med. 2011; 155(4):209–216. PMID: 21768555.
crossref
5. Kee MK, Lee JH, Kim EJ, Lee J, Nam JG, Yoo BH, et al. Improvement in survival among HIV-infected individuals in the Republic of Korea: need for an early HIV diagnosis. BMC Infect Dis. 2009; 9(1):128. PMID: 19671189.
crossref
6. Lee SH, Kim KH, Lee SG, Chen DH, Jung DS, Moon CS, et al. Trends of mortality and cause of death among HIV-infected patients in Korea, 1990–2011. J Korean Med Sci. 2013; 28(1):67–73. PMID: 23341714.
crossref
7. Yun JW, Son M. Forecasting cause-specific mortality in Korea up to year 2032. J Korean Med Sci. 2016; 31(8):1181–1189. PMID: 27478326.
crossref
8. Choi Y, Choi BY, Kim SM, Kim SI, Kim J, Choi JY, et al. Epidemiological characteristics of HIV infected Korean: Korea HIV/AIDS cohort study. Epidemiol Health. 2019; 41:e2019037. PMID: 31623426.
crossref
9. Kwon S. Thirty years of national health insurance in South Korea: lessons for achieving universal health care coverage. Health Policy Plan. 2009; 24(1):63–71. PMID: 19004861.
crossref
10. From the Centers for Disease Control and Prevention. From the Centers for Disease Control and Prevention. 1993 revised classification system for HIV infection and expanded surveillance case definition for AIDS among adolescents and adults. JAMA. 1993; 269(6):729–730. PMID: 8093740.
11. Weinberg JL, Kovarik CL. The WHO clinical staging system for HIV/AIDS. Virtual Mentor. 2010; 12(3):202–206. PMID: 23140869.
12. Zhang F, Dou Z, Ma Y, Zhao Y, Liu Z, Bulterys M, et al. Five-year outcomes of the China national free antiretroviral treatment program. Ann Intern Med. 2009; 151(4):241–251. PMID: 19687491.
crossref
13. Zhang G, Gong Y, Wang Q, Deng L, Zhang S, Liao Q, et al. Outcomes and factors associated with survival of patients with HIV/AIDS initiating antiretroviral treatment in Liangshan Prefecture, southwest of China: a retrospective cohort study from 2005 to 2013. Medicine (Baltimore). 2016; 95(27):e3969. PMID: 27399071.
14. de Olalla PG, Manzardo C, Sambeat MA, Ocaña I, Knobel H, Humet V, et al. Epidemiological characteristics and predictors of late presentation of HIV infection in Barcelona (Spain) during the period 2001–2009. AIDS Res Ther. 2011; 8(1):22. PMID: 21729332.
crossref
15. Egger M, May M, Chêne G, Phillips AN, Ledergerber B, Dabis F, et al. Prognosis of HIV-1-infected patients starting highly active antiretroviral therapy: a collaborative analysis of prospective studies. Lancet. 2002; 360(9327):119–129. PMID: 12126821.
crossref
16. May MT, Vehreschild JJ, Trickey A, Obel N, Reiss P, Bonnet F, et al. Mortality according to CD4 count at start of combination antiretroviral therapy among HIV-infected patients followed for up to 15 years after start of treatment: collaborative cohort study. Clin Infect Dis. 2016; 62(12):1571–1577. PMID: 27025828.
crossref
17. Ren L, Li J, Zhou S, Xia X, Xie Z, Liu P, et al. Prognosis of HIV patients receiving antiretroviral therapy according to CD4 counts: a long-term follow-up study in Yunnan, China. Sci Rep. 2017; 7(1):9595. PMID: 28852017.
crossref
18. Nishijima T, Inaba Y, Kawasaki Y, Tsukada K, Teruya K, Kikuchi Y, et al. Mortality and causes of death in people living with HIV in the era of combination antiretroviral therapy compared with the general population in Japan. AIDS. 2020; 34(6):913–921. PMID: 32039993.
crossref
19. Garriga C, García de Olalla P, Miró JM, Ocaña I, Knobel H, Barberá MJ, et al. Mortality, causes of death and associated factors relate to a large HIV population-based cohort. PLoS One. 2015; 10(12):e0145701. PMID: 26716982.
crossref
20. Burch LS, Smith CJ, Anderson J, Sherr L, Rodger AJ, O'Connell R, et al. Socioeconomic status and treatment outcomes for individuals with HIV on antiretroviral treatment in the UK: cross-sectional and longitudinal analyses. Lancet Public Health. 2016; 1(1):e26–36. PMID: 28299369.
crossref
21. Gilks CF, Crowley S, Ekpini R, Gove S, Perriens J, Souteyrand Y, et al. The WHO public-health approach to antiretroviral treatment against HIV in resource-limited settings. Lancet. 2006; 368(9534):505–510. PMID: 16890837.
crossref
22. Antiretroviral Therapy Cohort Collaboration. Survival of HIV-positive patients starting antiretroviral therapy between 1996 and 2013: a collaborative analysis of cohort studies. Lancet HIV. 2017; 4(8):e349–56. PMID: 28501495.
23. Nachega JB, Parienti JJ, Uthman OA, Gross R, Dowdy DW, Sax PE, et al. Lower pill burden and once-daily antiretroviral treatment regimens for HIV infection: a meta-analysis of randomized controlled trials. Clin Infect Dis. 2014; 58(9):1297–1307. PMID: 24457345.
crossref
24. Burchell AN, Raboud J, Donelle J, Loutfy MR, Rourke SB, Rogers T, et al. Cause-specific mortality among HIV-infected people in Ontario, 1995–2014: a population-based retrospective cohort study. CMAJ Open. 2019; 7(1):E1–7.
crossref
25. Adih WK, Selik RM, Hall HI, Babu AS, Song R. Associations and trends in cause-specific rates of death among persons reported with HIV infection, 23 U.S. jurisdictions, through 2011. Open AIDS J. 2016; 10(1):144–157. PMID: 27708746.
crossref
26. Smith CJ, Ryom L, Weber R, Morlat P, Pradier C, Reiss P, et al. Trends in underlying causes of death in people with HIV from 1999 to 2011 (D:A:D): a multicohort collaboration. Lancet. 2014; 384(9939):241–248. PMID: 25042234.
crossref
27. Weber R, Ruppik M, Rickenbach M, Spoerri A, Furrer H, Battegay M, et al. Decreasing mortality and changing patterns of causes of death in the Swiss HIV Cohort Study. HIV Med. 2013; 14(4):195–207. PMID: 22998068.
crossref
28. Sackoff JE, Hanna DB, Pfeiffer MR, Torian LV. Causes of death among persons with AIDS in the era of highly active antiretroviral therapy: New York City. Ann Intern Med. 2006; 145(6):397–406. PMID: 16983127.
crossref
29. Eyawo O, Franco-Villalobos C, Hull MW, Nohpal A, Samji H, Sereda P, et al. Changes in mortality rates and causes of death in a population-based cohort of persons living with and without HIV from 1996 to 2012. BMC Infect Dis. 2017; 17(1):174. PMID: 28241797.
crossref

SUPPLEMENTARY MATERIALS

Supplementary Table 1

Characteristics of 67 HIV-infected patients who died
jkms-35-e355-s001.doc

Supplementary Table 2

Underlying disease of 67 human immunodeficiency virus-infected patients who died
jkms-35-e355-s002.doc

Supplementary Fig. 1

Kaplan–Meier and log rank tests for all causes of death among 71 patients diagnosed with CD4 < 200 cells/mm3 and CD4 ≥ 200 cells/mm3 at the time of HIV diagnosis.
jkms-35-e355-s003.doc

Supplementary Fig. 2

Kaplan–Meier and log rank tests for all causes of death among 71 patients according to national health insurance status.
jkms-35-e355-s004.doc

Supplementary Fig. 3

Distribution of causes of mortality by infection among 44 human immunodeficiency virus patients who died.
jkms-35-e355-s005.doc

Supplementary Fig. 4

Distribution of non-infection-related causes of death among 23 human immunodeficiency virus patients.
jkms-35-e355-s006.doc

Supplementary Fig. 5

Distribution of malignancy-related non-infection causes of death among 11 human immunodeficiency virus patients.
jkms-35-e355-s007.doc

Supplementary Fig. 6

The distribution of the 26 acquired immunodeficiency syndrome -non-related causes of death.
jkms-35-e355-s008.doc

Supplementary Fig. 7

Changes in cause of death among human immunodeficiency virus patients based on year of death (4-year intervals).
jkms-35-e355-s009.doc

Supplementary Fig. 8

Changes in cause of death among human immunodeficiency virus patients based on year of death (4-year intervals).
jkms-35-e355-s010.doc
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