The objective of this research was to investigate serotype diversity pattern of dengue hemorrhagic fever virus by using real-time-polymerase chain reaction (RT-PCR) method. It was an explorative laboratory research in endemic dengue fever area in South Sulawesi Province, Indonesia, that is, Makassar municipality and Maros and Gowa region. Serological examination was carried out using real-time-polymerase chain reaction (RT-PCR) method to determine the serotype of dengue virus. The data showed that, of 30 patients, 20 patients (66.67%) were from Makassar municipality: 10 patients (33.33%) from Gowa region and 10 patients (33.33%) from Maros region. The serotypes found were DENV-2 and DENV-4 and no DENV-1 and DENV-3 serotypes were found. Makassar municipality and Gowa region have higher infection with serotype DENV-2, that is, 40% of cases compared with Maros, which is 20.0%. Statistical test results showed no significant differences between the three endemic areas. Maros region has the highest infection with serotype DENV-4, that is, 40% of cases compared with Makassar municipality (5.0%) and Gowa region (0%). Statistical test results showed significant differences between the three endemic areas. This result revealed that serotypes obtained in endemic areas of dengue fever in South Sulawesi are DENV-2 and DENV-4 and not serotypes DENV-1 and DENV-3. Makassar municipality has DENV-2 and DENV-4 serotype, infection dominated by DENV-2, while Maros region also has DENV-2 and DENV-4, but DENV-4 is the dominant serotype. Gowa municipality only has DENV-2 serotype infection.
Background: Chronic obstructive pulmonary disease (COPD) that causes damage to lung conditions such as dyspnea that affects to social and psychological life of the sufferer which overall affects the quality of life. This reaserch aims to focuses on factors related to the quality of life patients with COPD at the Pulmonary Community Health Center, Makassar.Methods: This study used cross sectional study design. Population in this research were patients with COPD who undergo treatment period of October-December 2017 that was as much as 381. Sampling was done by consecutive sampling with total sampel 160 responden. Data analysis consisted of univariate, bivariate with chi square test and multivariate analysis with logistic regression.Results: The results showed that some respondents had poor quality of life (63.8%) and other respondents had a good quality of life (36.3%). Factors related to quality of life were the severity of COPD (p=0.028), comorbidity (p=0.001) and quality of sleep (p=0.005). A multivariate analysis showed that patients with comorbidity were at risk 2,716 times to have poor quality of life.Conclusions: The severity of COPD, comorbidity and quality of sleep were related to have poor quality of life. Patients with COPD should early diagnosis of severity and should change their lifestyle better so as not to aggravate the quality of life.
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