Optimal symptom combinations to aid COVID-19 case identification: Analysis from a community-based, prospective, observational cohort.

OBJECTIVES: Diagnostic work-up following any COVID-19 associated symptom will lead to extensive testing, potentially overwhelming laboratory capacity whilst primarily yielding negative results. We aimed to identify optimal symptom combinations to capture most cases using fewer tests with implications for COVID-19 vaccine developers across different resource settings and public health. METHODS: UK and US users of the COVID-19 Symptom Study app who reported new-onset symptoms and an RT-PCR test within seven days of symptom onset were included. Sensitivity, specificity, and number of RT-PCR tests needed to identify one case (test per case [TPC]) were calculated for different symptom combinations. A multi-objective evolutionary algorithm was applied to generate combinations with optimal trade-offs between sensitivity and specificity. FINDINGS: UK and US cohorts included 122,305 (1,202 positives) and 3,162 (79 positive) individuals. Within three days of symptom onset, the COVID-19 specific symptom combination (cough, dyspnoea, fever, anosmia/ageusia) identified 69% of cases requiring 47 TPC. The combination with highest sensitivity (fatigue, anosmia/ageusia, cough, diarrhoea, headache, sore throat) identified 96% cases requiring 96 TPC. INTERPRETATION: We confirmed the significance of COVID-19 specific symptoms for triggering RT-PCR and identified additional symptom combinations with optimal trade-offs between sensitivity and specificity that maximize case capture given different resource settings.

Optimal symptom combinations to aid COVID-19 case identification: analysis from a community-based, prospective, observational cohort.

OBJECTIVES: Diagnostic work-up following any COVID-19 associated symptom will lead to extensive testing, potentially overwhelming laboratory capacity whilst primarily yielding negative results. We aimed to identify optimal symptom combinations to capture most cases using fewer tests with implications for COVID-19 vaccine developers across different resource settings and public health. METHODS: UK and US users of the COVID-19 Symptom Study app who reported new-onset symptoms and an RT-PCR test within seven days of symptom onset were included. Sensitivity, specificity, and number of RT-PCR tests needed to identify one case (test per case [TPC]) were calculated for different symptom combinations. A multi-objective evolutionary algorithm was applied to generate combinations with optimal trade-offs between sensitivity and specificity. FINDINGS: UK and US cohorts included 122,305 (1,202 positives) and 3,162 (79 positive) individuals. Within three days of symptom onset, the COVID-19 specific symptom combination (cough, dyspnoea, fever, anosmia/ageusia) identified 69% of cases requiring 47 TPC. The combination with highest sensitivity (fatigue, anosmia/ageusia, cough, diarrhoea, headache, sore throat) identified 96% cases requiring 96 TPC. INTERPRETATION: We confirmed the significance of COVID-19 specific symptoms for triggering RT-PCR and identified additional symptom combinations with optimal trade-offs between sensitivity and specificity that maximize case capture given different resource settings.

Selective inhibition of syncytium-inducing and nonsyncytium-inducing HIV-1 variants in individuals receiving didanosine or zidovudine, respectively.

By studying changes in the clonal composition of HIV-1 populations during the first weeks of zidovudine (ZDV) treatment before the development of ZDV resistance-conferring mutations, we demonstrated previously a selective inhibition of nonsyncytium-inducing (NSI) HIV-1, even when present as coexisting population in individuals also harboring syncytium-inducing (SI) HIV-1. In this study, we observed the opposite in individuals receiving didanosine (ddI) treatment. In these individuals (n = 7) a median -0.98 log change (range -1.55-0.08) in infectious cellular SI load was observed, whereas the coexisting NSI load was only minimally affected (median -0.15 log, range -1.27-0.50; P = 0.03). The virus phenotype-dependent treatment responses were independent of the clonal composition of HIV-1 populations at baseline. Individuals treated with a combination of ZDV and ddI revealed an equal decline of both NSI and SI infectious cellular load (n = 4; NSI: median -1.55 log, range -2.19 to -1.45; SI: median -1.47 log, range -1.81 to -0.86; P = 0.56). To test the hypothesis that the previously reported optimal activation of ZDV and ddI in activated and resting T cells, respectively, in combination with the differential T cell tropism of NSI and SI HIV-1 is the basis for the observed virus phenotype specific efficacy of nucleoside analogs, we studied the effect of treatment with a protease inhibitor that does not require intracellular activation. Individuals receiving ritonavir (n = 4) indeed showed equal declines in NSI and SI infectious cellular load (NSI: median -2.37 log, range -2.59 to -2.16; SI: median -2.82 log, range -3.14 to -2.50; P = 0.25). Our data suggest HIV-1 phenotype as an additional parameter in the design of optimal treatment regimens.

Use of competitive polymerase chain reaction to determine HIV-1 levels in response to antiviral treatments.

OBJECTIVE: To develop a competitive polymerase chain reaction technique with which to evaluate the usefulness of HIV-1 level as a marker of response to antiviral treatment. DESIGN: HIV-1 sequences were assessed by competitive polymerase chain reaction in four subjects participating in a double-blind study of monotherapy versus combination therapy with nucleoside analogues. METHODS: We inserted a mutant construct of the HIV-1 pol sequence into a commercial vector, enabling us to generate known amounts of mutant DNA and RNA for competitive polymerase chain reaction. To measure HIV-1 DNA copies in cells, the mutant DNA fragments were allowed to compete in a 10-fold dilution series with a constant amount of nucleic acid from the subject. To measure HIV-1 RNA copies in plasma, in vitro synthesized mutant RNA was added in a 10-fold dilution series to a constant amount of subject RNA and copy DNA was synthesized. DNA and copy DNA were used as the input for nested pol polymerase chain reaction. Mutant and wild-type amplimers were discriminated by size. RESULTS: The competitive polymerase chain reaction technique has been validated in model experiments and can be used over a broad range (at least 6 logs) of levels. Three of the four subjects showed a decline of 1 log in proviral DNA levels in cells after beginning antiviral treatment. All four showed a decline of at least 1 log in viral RNA levels in plasma, but this decline was transient in one subject. CONCLUSION: The HIV-1 sequence level is a useful marker in antiviral treatment studies.

Cellular proviral HIV type 1 DNA load persists after long-term RT-inhibitor therapy in HIV type 1 infected persons.

In a set of 42 antiretroviral naive HIV-1 infected persons who were treated with either Zidovudine (AZT) monotherapy, or a combination of AZT + ddC (Zalcitabine) or AZT + ddI (Didanosine), the HIV-1 DNA load was measured by competitive polymerase chain reaction (PCR) and related to the HIV-1 RNA load in plasma, the CD4+ counts and to clinical markers. The question was whether a reduction in the cellular HIV-1 DNA level contributes to clinical benefit, as predicted by a lasting response in HIV-1 RNA levels in plasma. No significant decline relative to baseline in HIV-1 DNA load was found in the AZT monotherapy arm. In this arm the differences from baseline for both HIV-1 RNA load and CD4+ T cell counts were small and transient. In both combination therapy arms, the maximum mean decline in HIV-1 DNA load was 0.6 log and it never differed significantly from baseline. This is in contrast to plasma HIV-1 RNA load that declined earlier and steeper (mean of 1.5 and 1.9 log for AZT + ddC and AZT + ddI, respectively) and that remained significantly below baseline for 80 weeks. Although 9 of 42 (32%) of the patients under combination therapy had prolonged decreased plasma RNA levels, the proviral HIV-1 DNA remained present in the cells throughout the total follow-up of 144 weeks. In conclusion, combination therapy showed better laboratory parameter responses than AZT monotherapy, in agreement with the clinical data. The HIV-1 DNA sequences did not disappear in any of the patients, heralding renewed active infection after cessation of therapy.

Deficient antipneumococcal polysaccharide responses in HIV-seropositive patients.

In a prospective study, serological responses and opsonic activity towards Streptococcus pneumoniae were measured in 60 HIV-infected patients and 25 controls after the administration of the 23-valent pneumococcal vaccine (PneumovaxR). Serum samples were collected before vaccination and at weeks 1, 2, 4, and 12 after vaccination and were tested for the presence of antibodies against a mixture of capsular polysaccharide antigens (pool) and against type 3 and type 4 antigens (PS3 and PS4), using an ELISA. A serological response was defined as a two-fold or greater increase in serum titer after vaccination. Opsonophagocytosis was measured in patients with a definite response against PS3. Generally, prevaccination antipneumococcal antibody titers were clearly higher in HIV-infected patients than in healthy controls. After vaccination, antipool antibody responses were found in 76% of vaccinated patients; 24% of the patients were non-responders. In patients with more than 0.300 x 10(9) CD4 + cells per liter the percentage of responders was 94%; in patients with fewer than 0.300 x 10(9) CD4 + cells per liter this percentage was 68% (P < 0.05). The antipool response in control subjects was 92%. A serological response to PS3 and PS4 was found in 29% and 49% of the patients, respectively, and was correlated with CD4 + cell count. In controls, these percentages were 48% and 92%, respectively. In 30% of responding patients, antibody titers dropped already to prevaccination levels by week 12 after vaccination. Opsonophagocytosis was not significantly improved by vaccination, probably because of a relatively high preexisting opsonic activity. Although prevaccination conditions may have had an important influence on the study outcome, the results are not in favor of a significant beneficial effect of vaccination with PneumovaxR on antibody formation in HIV-infected patients. This raises further questions as to the relevance of pneumococcal vaccination in this population.

Eosinophilic fasciitis presenting with a reactive hepatitis.

We report a patient with eosinophilic fasciitis, reactive hepatitis and splenomegaly. Administration of prednisone resulted in normalization of liver enzymes and spleen-size and an improvement of his clinical condition. These uncommon manifestations are only part of the broadening clinical spectrum, which is discussed briefly.

The impact of the M184V substitution in HIV-1 reverse transcriptase on treatment response.

The M184V mutation in the HIV-1 reverse transcriptase gene is primarily associated with rapid, high-level lamivudine (3TC) resistance. It has also been observed to arise under selective pressure by abacavir, to which it confers low-level resistance. Although the development of viral drug resistance remains a major concern in antiretroviral therapy, it is known that some immunological and clinical benefit can still be derived from highly active antiretroviral therapy (HAART) regimens despite resistance-associated virological failure. This residual benefit on a failing regimen is commonly attributed to the preservation of fitness-reducing protease inhibitor (PI) resistance mutations under continued drug pressure. However, fitness-reducing nucleoside reverse transcriptase inhibitor (NRTI) mutations may also contribute to the effect. M184V is both common in the treated population and fitness-reducing. A number of studies, both of dual nucleoside therapy and HAART, have noted a residual treatment effect for 3TC despite the assumed or observed presence of M184V and high-level phenotypic resistance. The speed and consistency with which this mutation is selected by 3TC under suboptimal viral suppression therefore makes M184V a particularly interesting model for further clinical studies on the association of drug resistance with ongoing treatment benefit. While fitness considerations are likely to be a major contributor to the clinical observations noted, there are a number of other potential mechanisms that may contribute to a continuing response to 3TC in the presence of M184V. These include the delay and reversal of zidovudine (ZDV) resistance, hypersensitization to other NRTIs, reduced reverse transcriptase (RT) processivity and a possible reduction in RT pyrophosphorolysis. The full impact of M184V on therapeutic prospects will require further elucidation; ideally, the risk/benefit of preserving this substitution would be investigated in randomized trials. However, existing data suggest that the presence of this mutation may preserve some benefit in spite of the loss of 3TC susceptibility which, with further study, may prove valuable.