Skip to main content
Evidence-based Complementary and Alternative Medicine : eCAM logoLink to Evidence-based Complementary and Alternative Medicine : eCAM
. 2015 Mar 2;2015:282819. doi: 10.1155/2015/282819

Survival of AIDS Patients Treated with Traditional Chinese Medicine in Rural Central China: A Retrospective Cohort Study, 2004–2012

Yantao Jin 1,2, Xin Wang 3, Zhengwei Li 1, Ziqiang Jiang 1, Huijun Guo 1,4, Zhibin Liu 1,*, Liran Xu 1,4,*
PMCID: PMC4363674  PMID: 25821482

Abstract

This study aimed to explore the survival of AIDS patients treated with traditional Chinese medicine (TCM) in addition to combined antiretroviral therapy (cART) and of AIDS patients treated with cART. Data of patients taking cART between 30 October 2003 and 30 October 2004 in the National TCM HIV Treatment Trial Program area were retrospectively analyzed, with follow-up from 30 October 2004 to 30 October 2012. The log-rank test was used to compare survival between the two groups. A Cox proportional hazards model was used to determine hazard ratios to identify prognostic factors. The study included 521 patients in the TCM + cART group followed up for 3548 person-years and 375 patients in the cART group followed up for 2523 person-years. Mortality rates were 3.2/100 person-years and 4.2/100 person-years in the TCM + cART and cART groups, respectively. The difference in survival was significant. After adjusting for explanatory variables, the mortality rate of AIDS patients in the cART group was 1.7 times higher than in the TCM + cART group. Male sex, older age, little education, and lower CD4 cell count were risk factors for mortality. TCM intervention in addition to cART could increase survival of AIDS patients.

1. Introduction

There were 35 million people living with HIV globally in 2013, and only 12.9 million had access to combination antiretroviral therapy (cART), as reported by Joint United Nations Programme on HIV/AIDS (UNAIDS) [1]. It is well established that cART reduces mortality and improves the quality of life of HIV patients [2]. However, there are large variations in treatment outcomes because of differences in adherence to cART [3, 4], which can be poor because of adverse effects of cART, such as nausea, diarrhea, fatigue, lipodystrophy, and skin disorders [5, 6]. These adverse effects have required researchers to investigate new drugs or complementary treatments. Traditional Chinese medicine (TCM) has been used for thousands of years for many diseases. It has been used to treat HIV patients for many years, with amelioration of symptoms and a reduction in the adverse effects of cART [7].

In central China in the early mid-1990s, plasma donation was promoted among poor, rural farmers as an easy way to supplement their low income, and this resulted in large numbers contracting HIV infection [8]. In response to this situation, HIV-infected farmers were identified in 2004 in this area, and the Chinese government established the National Free Antiretroviral Treatment Program (NFATP) there [9]. Meanwhile, the Chinese National Administration of Traditional Chinese Medicine started a National TCM HIV Treatment Trial Program (NTCMTP), and central China was one of the locations chosen for its introduction [10].

By the end of 2012, the NTCMTP had been in place for 8 years. During the treatment program, HIV patients reported a major improvement in their clinical symptoms, and there was a significant reduction in opportunistic infections. However, the long-term clinical benefits of NTCMTP are unclear. Therefore, the purpose of our analysis was to document the long-term effect of NTCMTP in terms of survival of AIDS patients and its determinants through a retrospective cohort study.

2. Materials and Methods

2.1. Procedure of NTCMTP

When the State Administration of Traditional Chinese Medicine started the NTCMTP in central China, the areas enrolled were those in which an official TCM service was already available. The clinicians contacted HIV patients in the selected areas and explained the nature of the program. If the patients consented to attend the program voluntarily, further education was given on treatment adherence. The participants were given the fixed preparation, yi ai kang capsules (contenting ginseng, huangqi, chaobaishu, Tuckahoe, Chinese angelica, chuanxiong, baishao, and Scutellariae), and ingested five capsules three times daily. Additional TCM treatment was given according to the individual patient's symptoms. At the enrolment visit, the baseline characteristics of the participants were noted on a case report form (CRF), including epidemiological information, laboratory measurements (i.e., CD4+ T-cell count, whole blood cell count, urine analysis, liver and renal function, and HIV viral load), details of therapy, clinical symptoms, and vital status. Clinicians reviewed the participants every month, gave free yi ai kang capsules, and completed the details in the CRF. When a participant did not return for his or her medicine, clinicians actively investigated whether the participant had died or was lost to follow-up. Participants could also attend for free investigation and treatment of illnesses occurring between scheduled appointments.

2.2. Study Population

All participants in this study lived in the area of Henan Province, located in central of China, selected for the NTCMTP in October 2004. The inclusion criteria for this retrospective cohort study were HIV infection identified by western blot before 30 October 2004; age older than 18 years and younger than 65 years on 30 October 2004; being still alive on 30 October 2004; having taken cART between 30 October 2003 and 30 October 2004; and continuing taking cART at follow-up. Individuals enrolled in the NTCMTP were included as the TCM + cART group and those not enrolled were included as the cART group. Participants were followed up from October 2004 to October 2012.

2.3. Data Collection and Variables

Data were collected from standard medical record registers adopted by the office of the NTCMTP or Center for Disease Control and Prevention (CDC), Henan. There were three registers used in this study: the first included all HIV-positive patients enrolled in the NTCMTP; the second included all confirmed HIV-positive patients; and the third included all patients who started cART and had follow-up information. The first database belonged to the Administration of Traditional Chinese Medicine, and the latter two databases belonged to the CDC; thus there was no overlap between TCM + cART and cART therapy groups. The criteria for cART administration were in accordance with the NFATP.

Most information in this study such as demographics, method of HIV diagnosis, route of infection, data of death, and cause of death was collected from the second register. The first register provided data on the date of commencement of TCM therapy, follow-up data, and reasons for loss to follow-up. The third register provided data on starting and stopping cART. Data on CD4+ cell count in 2004 were collected from all three registers.

2.4. Data Analysis

The endpoint was the date of death, without consideration of the cause of death. The patient was censored at the time of loss to follow-up or at the end of follow-up in October 2012. Life table analysis was used to compute the cumulative survival rates. Kaplan-Meier and log-rank tests were used to compare survival curves in the two groups. The Cox proportional hazard model was used to identify factors associated with outcome. The adjusted hazard ratio (AHR) for death and 95% confidence interval (CI) were determined. All statistical analyses were performed by SPSS version 19.0 (IBM Corp., Armonk, NY, USA). Two-sided P values <0.05 were considered statistically significant.

2.5. Ethical Considerations

This study was approved by the institutional review board of the First Hospital affiliated to Henan University of Traditional Chinese Medicine. Individual informed consent was not required because this analysis used currently existing data collected during the course of routine treatment, and the data were anonymized for inclusion in the analysis.

3. Results

3.1. Patients

By the end of 30 October 2012, 4,690 HIV-positive individuals were registered in the second register, 3563 of whom were identified as HIV-positive as of October 2004, and 896 met the inclusion criteria for this study (Figure 1). There were 521 patients in the TCM + cART group and 375 in the cART group. The mean age of the TCM + cART group was 41.8 ± 7.9 years, 519 (99.6%) were farmers, and 513 (98.5%) were infected with HIV through plasma donation, with 421 (80.8%) diagnosed between October 2003 and October 2004. The mean age of the cART group was 41.7 ± 7.8 years, 372 (99.2%) were farmers, and 368 (98.1%) were infected with HIV through plasma donation, with 277 (73.9%) diagnosed between October 2003 and October 2004. The baseline characteristics of the patients at initiation of the study are shown in Table 1.

Figure 1.

Figure 1

Profile of the study cohort. TCM, traditional Chinese medicine; cART, combination antiretroviral therapy; NTCMTP, National Traditional Chinese Medicine HIV Treatment Trial Program; AIDS, acquired immune deficiency syndrome.

Table 1.

Patient characteristics at baseline, n (%).

Variables All TCM + cART cART Statistic value P value
Total sample 896 521 375
Gender
 Male 406 (45.3) 254 (48.8) 152 (40.5) 5.944 0.015
 Female 490 (54.7) 267 (51.2) 223 (59.5)
Age (years)
 <41 433 (48.3) 246 (47.2) 187 (49.9) 0.683 0.711
 41–50 338 (37.7) 202 (38.8) 136 (36.3)
 >50 125 (14.0) 73 (14.0) 52 (13.9)
Marital status
 Married 696 (77.7) 410 (78.7) 286 (76.3) 0.741 0.389
 Single/widow(er) 200 (22.3) 286 (76.3) 89 (23.7)
Education
 <6 years 600 (67.0) 349 (67.0) 251 (66.9) 0.001 0.987
 >6 years 296 (33.0) 172 (33.0) 124 (33.1)
CD4+ T-cell count (cell/mm3)
 <200 233 (26.0) 141 (27.1) 92 (24.5) 90.197 0.001
 200–350 240 (26.8) 160 (30.7) 80 (21.3)
 351–500 134 (15.0) 94 (18.0) 40 (10.7)
 >500 115 (12.8) 79 (15.2) 36 (9.6)
 Unknown 174 (19.4) 47 (9.2) 127 (33.9)

TCM, traditional Chinese medicine; cART, combination antiretroviral treatment.

3.2. Mortality Rate and Cumulative Survival

In the TCM + cART group, patients were followed up for 3548 person-years, 114 (22.9%) died, and 32 (6.1%) were lost to follow-up. The mortality rate was 3.2/100 person-years; 97.5% of patients were alive after 1 year, 90.4% after 3 years, 82.7% after 5 years, and 77.2% after 8 years. The reasons for loss to follow-up were as follows: 11 left home for work; 5 dropped out because of adverse drug effects; and no reason was given for the other 16. In the cART group, patients were followed up for 2523 person-years, and 107 (28.5%) died. The mortality rate was 4.2/100 person-years; 94.7% of patients were alive after 1 year, 84.5% after 3 years, 76.5% after 5 years, and 71.5% after 8 years. The difference in cumulative survival between the two groups was statistically significant (Figure 2).

Figure 2.

Figure 2

Comparison of cumulative survival between the two groups of AIDS patients.

3.3. Factors Associated with AIDS-Related Death

Table 2 shows the results of Cox proportional hazard model analysis. The HR for mortality in the cART group was 1.3 times that of the TCM + cART group by single factor analysis [HR: 1.32, 95% confidence interval (CI): (1.01, 1.72)]. After adjusting for the baseline factors in multivariate analysis, the AHR was 1.7 times higher in the cART group compared with the TCM + cART group [AHR: 1.65, 95% CI (1.24, 2.18)].

Table 2.

Hazard ratios for AIDS-related death for baseline variables.

Categories Cases Deaths Unadjusted Adjusted
HR (95% CI) P value AHR (95% CI) P value
Group
 TCM + cART 521 115 1 1
 cART 375 107 1.32 (1.01, 1.72) 0.04 1.65 (1.24, 2.18) 0.001
Gender
 Female 490 92 1 1
 Male 406 130 1.87 (1.43, 2.44) 0.001 2.23 (1.69, 2.96) 0.001
Age (years)
 <41 433 92 1 1
 41–50 338 74 1.02 (0.75, 1.38) 0.919 1.13 (0.83, 1.55) 0.439
 >50 126 56 2.43 (1.74, 3.39) 0.001 2.52 (1.77, 3.57) 0.001
Marital status
 Married 696 153 1 1
 Single/widow(er) 200 47 0.91 (0.66, 1.26) 0.574 0.75 (0.54, 1.04) 0.088
Education level
 <6 years 600 160 1 1
 >6 years 296 62 0.76 (0.57, 1.02) 0.066 0.71 (0.52, 0.97) 0.032
CD4+ T-cell count (cell/mm3)
 <200 233 95 1 1
 200–350 240 59 0.51 (0.37, 0.70) 0.001 0.51 (0.37, 0.71) 0.001
 351–500 134 21 0.31 (0.19, 0.50) 0.001 0.36 (0.23, 0.59) 0.001
 >500 115 10 0.17 (0.09, 0.32) 0.001 0.18 (0.09, 0.34) 0.001
 Unknown 174 37 0.42 (0.28, 0.61) 0.001 0.36 (0.24, 0.54) 0.001

HR, hazard ratio; AHR, adjusted hazard ratio; CI, confidence interval.

The AHR was approximately 2.2-fold higher in male than female patients [AHR: 2.23, 95% CI (1.69, 2.96)]. Patients aged 50 years or older had higher AHR than patients aged 40 years or younger [AHR: 2.52, 95% CI (1.77, 3.57)]. Patients educated for more than 6 years had lower AHR than patients educated for less than 6 years [AHR: 0.71, 95% CI (0.52, 0.97)]. With an increase in CD4+ T-cell count, there was an increase in survival time; the AHR was lower in patients with CD4+ T-cell counts of 200–350 cell/mm3 [AHR: 0.51, 95% CI (0.37, 0.71)], 350–500 cell/mm3 [AHR: 0.36, 95% CI (0.23, 0.59)], and >500 cell/mm3 [AHR: 0.18, 95% CI (0.09, 0.34)] compared with patients with <200 cell/mm3.

4. Discussion

This retrospective cohort study showed that the mortality rate of HIV patients in the TCM + cART group was significantly lower than that of patients in the cART group. The HIV-related mortality rate varies across different countries because of differences in patient compliance, quality of treatment services, and characteristics of the patients [1113]. The mortality rate of adults with AIDS was reported to be 5/100 person-years after 6 months of receiving free cART treatment in China [10]. A study from Henan—the same area as in the current study—found a mortality rate of 5.1/100 person-years after cART [14], which was slightly higher than in the cART group of this study. This may be because some patients had already been taking cART for more than 3 months at the start of this study, and other studies have reported that mortality was highest in the first 3 months after cART initiation [15]. Another study reported that the mortality rate was 3.6/100 person-years after TCM without consideration of cART in the same area as this study [16]. This was higher than in patients in the TCM + cART group in the current study.

The objective of most survival analyses of HIV patients is to estimate the time to death, and different methodological approaches have been reported. Some studies take the date of diagnosis of AIDS as the start for the cohort [17, 18], while others may include HIV-infected individuals in their cohort regardless of clinical status at baseline [19]. The aim of this study was to explore the effect of TCM on mortality of HIV patients treated with cART, so HIV patients at different clinical stages were included. The study showed that the mortality rate of HIV patients only taking cART was 1.7 times higher than HIV patients who took TCM and cART, after adjusting for other explanatory variables.

As a type of complementary and alternative medicine, the characteristic of TCM is to treat disease based on syndrome differentiation. According to the syndrome of HIV patients in Henan, TCM experts developed the yi ai kang capsules. Yi ai kang was the drug of choice in the NTCMTP in Henan, and the clinical effect showed that it could help to relieve clinical symptoms, decrease HIV viral load, increase the CD4 lymphocyte count, and decrease mortality [20, 21]. This study also confirmed the long-term efficacy of TCM.

Mortality was associated with other factors in this study. Male HIV patients had a higher mortality risk and this was consistent with many studies across the world and in China [14, 2224]. Men are more likely to smoke and consume alcohol [25, 26], which are risk factors for mortality. Men also seek treatment later and have lower compliance, which may also contribute to higher mortality in male than female HIV patients [23, 24]. The mortality rate of HIV patients older than 50 was 2.5 times that of HIV patients aged less than 40, possibly related to increases in both AIDS-related and unrelated illnesses with age [27, 28]. The baseline CD4 count was significantly inversely associated with mortality in this study, which was consistent with previous studies [11, 13, 16, 29].

This study included a large sample size and had a long-term follow-up. Almost all of the patients lived on a farm and were infected with HIV through plasma donation, so this was a simple and stable cohort, with little loss to follow-up. However, a major limitation of this study was that it was based on secondary data that were not collected for research purposes. Thus, important predictors of mortality, such as nutritional status, economic status, drug adherence, and drug resistance, were not collected. The baseline CD4 cell count information was not complete. The missing data could result in information basis. As in all observational cohort studies, unmeasured differences may exist among the patients under study.

5. Conclusion

Although this study is limited by its retrospective nature, it provides evidence that TCM intervention in addition to cART could increase survival of AIDS patients. As an effective AIDS therapy, TCM merits further research.

Acknowledgments

The authors are grateful to the medical workers who took part in the NTCMTP and whose efforts made this study possible. This work was supported by a Research Project for Practice Development of National TCM Clinical Research Bases of China (no. JDZX2012035, no. JDZX2012020), the National Special Science and Technology Program on Major Infectious Diseases of China (2013ZX100050001-001), and leading personnel of science and technology in Zhengzhou of China (no. 131PLJRC671).

Disclosure

Xin Wang is co-first author.

Conflict of Interests

The authors have no conflict of interests to disclose.

Authors' Contribution

Zhibin Liu and Liran Xu conceived and designed the study. Yantao Jin, Xin Wang, Ziqiang Jiang, and Huijun Guo participated in acquisition of data. Yantao Jin, Xin Wang, and Zhengwei Li analyzed the data. Yantao Jin, Xin Wang, Zhibin Liu, and Liran Xu interpreted the data, and Yantao Jin and Xin Wang drafted the paper. All authors critically revised the paper and approved the final version. Zhibin Liu and Liran Xu are the guarantor and take responsibility for the integrity of the work as a whole.

References

  • 1.UNAIDS. Fact sheet 2014: globle statistics. http://www.unaids.org/en/media/unaids/contentassets/documents/factsheet/2014/20140716_FactSheet_en.pdf.
  • 2.Jin Y., Liu Z., Wang X., et al. A systematic review of cohort studies of the quality of life in HIV/AIDS patients after antiretroviral therapy. International Journal of STD & AIDS. 2014;25(11):771–777. doi: 10.1177/0956462414525769. [DOI] [PubMed] [Google Scholar]
  • 3.Parienti J.-J., Ragland K., Lucht F., et al. Average adherence to boosted protease inhibitor therapy, rather than the pattern of missed doses, as a predictor of HIV RNA replication. Clinical Infectious Diseases. 2010;50(8):1192–1197. doi: 10.1086/651419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ramadhani H. O., Thielman N. M., Landman K. Z., et al. Predictors of incomplete adherence, virologic failure, and antiviral drug resistance among HIV-infected adults receiving antiretroviral therapy in Tanzania. Clinical Infectious Diseases. 2007;45(11):1492–1498. doi: 10.1086/522991. [DOI] [PubMed] [Google Scholar]
  • 5.Liu Z., Yang J., Liu H., Jin Y. Factors associated with fatigue in acquired immunodeficiency syndrome patients with antiretroviral drug adverse reactions: a retrospective study. Journal of Traditional Chinese Medicine. 2013;33(3):316–321. doi: 10.1016/S0254-6272(13)60172-7. [DOI] [PubMed] [Google Scholar]
  • 6.Sethi A. K., Celentano D. D., Gange S. J., Moore R. D., Gallant J. E. Association between adherence to antiretroviral therapy and human immunodeficiency virus drug resistance. Clinical Infectious Diseases. 2003;37(8):1112–1118. doi: 10.1086/378301. [DOI] [PubMed] [Google Scholar]
  • 7.Liu Z.-B., Wang X., Liu H.-J., et al. Treatment of acquired immunodeficiency syndrome with chinese medicine in China: opportunity, advancement and challenges. Chinese Journal of Integrative Medicine. 2013;19(8):563–567. doi: 10.1007/s11655-013-1552-1. [DOI] [PubMed] [Google Scholar]
  • 8.Dou Z., Chen R. Y., Wang Z., et al. HIV-infected former plasma donors in rural central China: from infection to survival outcomes, 1985–2008. PLoS ONE. 2010;5(10) doi: 10.1371/journal.pone.0013737.e13737 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zhang F., Haberer J. E., Wang Y., et al. The Chinese free antiretroviral treatment program: challenges and responses. AIDS. 2007;21(supplement 8):S143–S148. doi: 10.1097/01.aids.0000304710.10036.2b. [DOI] [PubMed] [Google Scholar]
  • 10.Ministry of Health of the People's Republic of China. 2012 China AIDS Response Progress Report. 2012, http://www.unaids.org/en/dataanalysis/knowyourresponse/countryprogressreports/2012countries/ce_CN_Narrative_Report[1].pdf.
  • 11.Allam R. R., Murhekar M. V., Bhatnagar T., et al. Survival probability and predictors of mortality and retention in care among patients enrolled for first-line antiretroviral therapy. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2008;108(4):198–205. doi: 10.1093/trstmh/tru025. [DOI] [PubMed] [Google Scholar]
  • 12.Sieleunou I., Souleymanou M., Schönenberger A.-M., Menten J., Boelaert M. Determinants of survival in AIDS patients on antiretroviral therapy in a rural centre in the Far-North Province, Cameroon. Tropical Medicine and International Health. 2009;14(1):36–43. doi: 10.1111/j.1365-3156.2008.02183.x. [DOI] [PubMed] [Google Scholar]
  • 13.Mageda K., Leyna G. H., Mmbaga E. J. High initial HIV/AIDS-Related mortality and -its predictors among patients on antiretroviral therapy in the kagera region of Tanzania: a five-year retrospective cohort study. AIDS Research and Treatment. 2012;2012:7. doi: 10.1155/2012/843598.843598 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Sun D.-Y., Wang Q., Yang W.-J., Zhu Q., Wang Z. Survival analysis on AIDS antiretroviral therapy in Henan province during 2003–2009. Zhong Huan Liu Xing Bing Xue Za Zhi. 2012;33(2):181–184. [PubMed] [Google Scholar]
  • 15.Bhatta L., Klouman E., Deuba K., et al. Survival on antiretroviral treatment among adult HIV-infected patients in Nepal: a retrospective cohort study in far-western Region, 2006–2011. BMC Infectious Diseases. 2013;13(1, article 604) doi: 10.1186/1471-2334-13-604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Jin Y., Liu Z., Chen X., et al. Survival of people living with HIV after treatment with traditional Chinese medicine in Henan province of China: a retrospective cohort study. Journal of Traditional Chinese Medicine. 2014;34(4):430–436. doi: 10.1016/s0254-6272(15)30042-x. [DOI] [PubMed] [Google Scholar]
  • 17.van Sighem A. I., van de Wiel M. A., Ghani A. C., et al. Mortality and progression to AIDS after starting highly active antiretroviral therapy. AIDS. 2003;17(15):2227–2236. doi: 10.1097/00002030-200310170-00011. [DOI] [PubMed] [Google Scholar]
  • 18.Rapiti E., Porta D., Forastiere F., Fusco D., Perucci C. A. Socioeconomic status and survival of persons with AIDS before and after the introduction of highly active antiretroviral therapy. Epidemiology. 2000;11(5):496–501. doi: 10.1097/00001648-200009000-00003. [DOI] [PubMed] [Google Scholar]
  • 19.Fordyce E. J., Singh T. P., Nash D., Gallagher B., Forlenza S. Survival rates in NYC in the era of combination ART. Journal of Acquired Immune Deficiency Syndromes. 2002;30(1):111–118. doi: 10.1097/00126334-200205010-00015. [DOI] [PubMed] [Google Scholar]
  • 20.Li F. Z., Xu L. R., Zhang M. L., Guo J. Z. Clinical observation on885AIDS patients treated by Yiaikang capsule combined with treatment based on syndrome differentiation. Zhong Yi Za Zhi. 2010;51(9):808–810. [Google Scholar]
  • 21.Xu L. R., Li F. Z., He Y., Guo J. Z., Wang D. Sixty-month clinical observation of HIV carriers/AIDS patients treated with Yiaikang capsule in terms of theirs CD+4T cell counts and viral load. Zhong Guo Ai Zi Bing Xing Bing. 2010;3(3):231–233. [Google Scholar]
  • 22.Cornell M., Schomaker M., Garone D. B., et al. Gender differences in survival among adult patients starting antiretroviral therapy in South Africa: a multicentre cohort study. PLoS Medicine. 2012;9(9) doi: 10.1371/journal.pmed.1001304.e1001304 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Taylor-Smith K., Tweya H., Harries A., Schoutene E., Jahn A. Gender differences in retention and survival on antiretroviral therapy of HIV-1 infected adults in Malawi. Malawi Medical Journal. 2010;22(2):49–56. doi: 10.4314/mmj.v22i2.58794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kanters S., Nansubuga M., Mwehire D., et al. Increased mortality among HIV-positive men on antiretroviral therapy: survival differences between sexes explained by late initiation in Uganda. Journal of HIV/AIDS (Auckland) 2013;5:111–119. doi: 10.2147/HIV.S42521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Zeng S., Lin L. Study on smoking pattern and related factors among residents aged over 15 years in Guangdong province. Zhonghua Liu Xing Bing Xue Za Zhi. 2000;21(2):134–136. [PubMed] [Google Scholar]
  • 26.Yang X. B., Liu X. Q., Wang D. B., Xue C. B., Cheng J., Chai J. Analysis of the inf luencing factor and epidemic trend of urban and rural residents frequency of drinking in JiangsuProvince. Zhong Hua Ji Bing Kong Zhi Za Zhi. 2011;15(6):503–506. [Google Scholar]
  • 27.Bakanda C., Birungi J., Mwesigwa R., et al. Association of aging and survival in a large HIV-infected cohort on antiretroviral therapy. AIDS. 2011;25(5):701–705. doi: 10.1097/QAD.0b013e3283437ed7. [DOI] [PubMed] [Google Scholar]
  • 28.Youmans E., Tripathi A., Gibson J. J., Stephens T., Duffus W. A. Demographic characteristics and behavioral risk factors of HIV infection and association with survival among individuals 50 years or older. Southern Medical Journal. 2011;104(10):669–675. doi: 10.1097/SMJ.0b013e31822dd3d8. [DOI] [PubMed] [Google Scholar]
  • 29.Mills E. J., Bakanda C., Birungi J., Yaya S., Ford N. The prognostic value of baseline CD4+ cell count beyond 6 months of antiretroviral therapy in HIV-positive patients in a resource-limited setting. AIDS. 2012;26(11):1425–1429. doi: 10.1097/qad.0b013e328354bf43. [DOI] [PubMed] [Google Scholar]

Articles from Evidence-based Complementary and Alternative Medicine : eCAM are provided here courtesy of Wiley

RESOURCES