In people living with HIV (PLWH), menopause (natural or surgical) contributes to the greater symptom burden in women: results from an online US survey.

OBJECTIVE: The majority of people living with HIV in the United States are now over the age of 50, but symptom burden research has seldom included older women or the potential role of menopause. The aim of the study was to examine the influence of menopause as part of sex differences in HIV symptom burden. METHODS: A cross-sectional study was conducted that included both a sex-based analysis of previously reported HIV symptom characteristics of 1,342 respondents to an online survey (males, n = 957; female, n = 385) and a follow-up online survey of menstrual bleeding patterns (inferred menopause) in eligible females (n = 242) from the respondent pool. Using linear mixed models, we identified predictors of symptom burden scores in female respondents. RESULTS: For the most troublesome symptoms assessed in the sex-based analysis, depression scores were similar (P > 0.05), but higher (worse) burden scores for fatigue (P = 0.013) and muscle aches/pains (P = 0.004) were exclusively observed in females after adjusting for covariates. Respondents to the female survey (n = 222) were predominantly Black, heterosexual, nonsmokers, and obese, with an HIV diagnosis of approximately 16 years and at least one comorbid condition. Burden scores were higher in women reporting amenorrhea due to natural menopause or hysterectomy (n = 104) versus the menstruating group (n = 118) for muscle aches/pains (P = 0.05), fatigue (P = 0.03), and difficulty falling asleep (P = 0.04), independent of age, HIV duration, and number of HIV-associated non-AIDS conditions. CONCLUSIONS: Two of the most common symptoms in people living with HIV-fatigue and muscle aches/joint pains-invoke additional burden in women. Independent of aging, symptom burden may be exacerbated after menopause, supporting a shifting paradigm for HIV care management.

Post-Ebola Syndrome, Sierra Leone.

Thousands of persons have survived Ebola virus disease. Almost all survivors describe symptoms that persist or develop after hospital discharge. A cross-sectional survey of the symptoms of all survivors from the Ebola treatment unit (ETU) at 34th Regimental Military Hospital, Freetown, Sierra Leone (MH34), was conducted after discharge at their initial follow-up appointment within 3 weeks after their second negative PCR result. From its opening on December 1, 2014, through March 31, 2015, the MH34 ETU treated 84 persons (8-70 years of age) with PCR-confirmed Ebola virus disease, of whom 44 survived. Survivors reported musculoskeletal pain (70%), headache (48%), and ocular problems (14%). Those who reported headache had had lower admission cycle threshold Ebola PCR than did those who did not (p<0.03). This complete survivor cohort from 1 ETU enables analysis of the proportion of symptoms of post-Ebola syndrome. The Ebola epidemic is waning, but the effects of the disease will remain.

Determination of clinical and demographic predictors of laboratory-confirmed influenza with subtype analysis.

BACKGROUND: Rapid influenza diagnosis is important for early identification of outbreaks, effective management of high-risk contacts, appropriate antiviral use, decreased inappropriate antibiotic use and avoidance of unnecessary laboratory testing. Given the inconsistent performance of many rapid influenza tests, clinical diagnosis remains integral for optimizing influenza management. However, reliable clinical diagnostic methods are not well-established. This study assesses predictors of influenza, and its various subtypes, in a broad population at the point of care, across age groups, then evaluates the performance of clinical case definitions composed of identified predictors. METHODS: Respiratory specimens and demographic and clinical data were obtained from 3- to 80-year-old US military family members presenting for care with influenza-like illness (ILI) from November 2007 to April 2008. Molecular and virus isolation techniques were used to detect and subtype influenza viruses. Associations between influenza diagnosis and demographic/clinical parameters were assessed by logistic regression, including influenza type and subtype analyses. The predictive values of multiple combinations of identified clinical predictors (case definitions), and the Centers for Disease Control and Prevention (CDC) ILI case definition, were estimated. RESULTS: Of 789 subjects, 220 (28%) had laboratory-confirmed influenza (51 A(H1), 46 A(H3), 19 A(unsubtypeable), 67 B, 1 AB coinfection), with the proportion of influenza A to B cases highest among 6- to 17-year-olds (p = 0.019). Independent predictors of influenza included fever, cough, acute onset, body aches, and vaccination status among 6- to 49-year-olds, only vaccination among 3- to 5-year-olds, and only fever among 50- to 80-year-olds. Among 6- to 49-year-olds, some clinical case definitions were highly sensitive (100.0%) or specific (98.6%), but none had both parameters over 60%, though many performed better than the CDC ILI case definition (sensitivity 37.7%, 95% confidence interval 33.6-41.9% in total study population). CONCLUSIONS: Patterns of influenza predictors differed across age groups, with most predictors identified among 6- to 49-year-olds. No combination of clinical and demographic predictors served as a reliable diagnostic case definition in the population and influenza season studied. A standardized clinical case definition combined with a point-of-care laboratory test may be the optimal rapid diagnostic strategy available.

Clinical and epidemiological features of 2009 pandemic H1N1 influenza differ slightly according to seroprevalence status during the second wave in the general population in México.

BACKGROUND: Clinical features of pandemic H1N1 have been derived from lab-confirmed, hospitalized, or critically ill subjects. This report describes the clinical features of H1N1 and their prevalence from non-confirmed subjects according to seroprevalence status in México. The objective was to determine the prevalence of these clinical features from non-confirmed cases of pandemic H1N1 and to compare them according to seroprevalence status in northern Monterrey, México, during 2009, and to identify the predictive signs and symptoms; there have been no prior serologic studies in México. METHODS: During November-December 2009, 2,222 volunteers, ages 6-99 years, were categorized into 3 symptomatic groups: influenza-like illness, respiratory illness, and non-respiratory illness. Antibodies against influenza A/H1N1/2009 were determined by a virus-free enzyme-linked immunosorbent assay (ELISA) method. Demographics and clinical presentation were assessed through face-to-face questionnaire, and the association with seroprevalence status was determined and compared. RESULTS: Overall seroprevalence was 39%. Of the seropositive subjects, 67% were symptomatic and 33% were asymptomatic. Seventy-one percent of seropositive symptomatic subjects reported respiratory illness, 17% reported non-respiratory symptoms, and 12% reported influenza-like illness. The most common symptoms were rhinorrhea/nasal congestion (93%) and headache (83%). No significant difference was found between the symptom profiles of the seropositive group, compared to the seronegative one, nor of the median duration of symptoms. The seropositive group had a significantly elevated proportion of influenza-like illness (12%), compared to the seronegative group (8%). The proportion of subjects who took days off and who sought medical attention was significantly higher in the seropositive group. No single symptom was associated as a predictor of seropositiveness. CONCLUSIONS: One third of the seropositive subjects were asymptomatic, and few had an influenza-like illness. No difference was found in the symptom profiles of the seropositive and seronegative groups. No single symptom predicted seropositiveness. Large scale population studies are needed, especially in México, to characterize clinical syndromes.

Viral load and clinical features in children infected with seasonal influenza B in 2006/2007.

BACKGROUND/PURPOSE: In influenza B infection, viral load is believed to be related to the severity of clinical illness. The correlation between viral load and symptoms is not known. We conducted a study to assess the relationship between virus load and clinical features in children infected with influenza B, in the hope that clinical features could be used as surrogate markers of viral load to guide treatment. METHODS: Between December 2006 and February 2007, 228 patients with fever and respiratory symptoms were prospectively enrolled in our tertiary hospital-based study. Real-time reverse transcription polymerase chain reaction (RT-PCR) was performed to determine viral load. RESULTS: Real-time RT-PCR was positive for influenza B in 76 patients. Using virus culture as the gold standard, the sensitivity and specificity were 95% and 87%, respectively. Influenza culture positive rate significantly correlated with viral load (p = 0.03). The median copy number of influenza B virus in the 76 RT-PCR positive patients was 9735 copies/ml (range 4.8×10¹-2.0×106 copies/ml). Samples obtained later in the clinical course tended to have lower viral load (p = 0.7), while patient age (p = 0.72) and fever duration (p = 0.96) positively related to viral load. In patients >3 years of age, myalgia was related to statistically lower viral loads (14300 vs. 1180; p = 0.025). Patients with chills tended to have higher viral loads (72450 vs. 7640; p = 0.1). Patients with abdominal pain tended to have lower viral loads (1998 vs. 12550; p = 0.06). CONCLUSION: Culture rate positively correlated with viral load. Patients with myalgia had a lower viral load.

Rheumatic-musculoskeletal pain and disorders in a naïve group of individuals 15 months following a Chikungunya viral epidemic in south India: a population based observational study.

BACKGROUND: Prospective community data on arthropathy following Chikungunya (CHIKV), a self-limiting, arboviral infection, causing debilitating arthropathy are lacking. The clinical profile of chronic rheumatic-musculoskeletal (RMSK) pain and disorders, captured inadvertently about 15 months following a CHIKV epidemic is described. MATERIALS AND METHODS: Patients with RMSK pain following the CHIKV epidemic in 2007 were identified from a randomly selected population of 5277 (Age > 15 years) in a village in south India, using a validated questionnaire-based house-to-house survey. Typical narration, records and serology were relied upon to classify CHIKV. Respondents who recorded active pain sites on a human mannequin were evaluated by Rheumatology physicians. RESULTS: A total of 1396 CHIKV infected individuals with painful MSKD were identified, of whom 437 patients (mean age: 48.37 ± 13.62 years; 71.6% women) who were naïve to RMSK pain prior to the epidemic were studied in detail. Incidence of RMSK pain and disorders in the naïve group was 8.3% (437/5277). Knee was the commonest self-reported pain site (83.3%). Majority of the patients (57%) had postviral non-specific polyarthralgia. Soft tissue rheumatism was very common (27.7%). Rheumatoid arthritis and seronegative spondyloarthritis were observed in 6 and 11 patients, respectively. CONCLUSIONS: Although a causal association could not be established, this study has unravelled a wide spectrum of unrecognised post-CHIKV chronic RMSK disorders. Aetiopathogenesis and risk factors of chronicity need to be studied further.