Wing-Hong Seto

Facemasks and Hand Hygiene to Prevent Influenza Transmission in Households: A Cluster Randomized Trial

Context Hand hygiene and use of facemasks are key elements of influenza pandemic preparedness plans, but their effects on preventing transmission of infection have not been demonstrated. Contribution In this cluster randomized trial, hand washing and facemasks seemed to prevent influenza transmission when healthy family members started using these measures within 36 hours of symptom onset in an infected family member. Caution Adherence to the interventions was low. Implication Hand hygiene and facemasks seem to reduce influenza virus transmission when implemented early after symptom onset. The Editors Interpandemic human influenza virus infects millions of people every year. Some infections are mild, but othersespecially in young or elderly personscan result in more severe illness requiring hospitalization. Influenza is associated with hundreds of thousands of deaths worldwide annually (1, 2). The 2009 swine-origin influenza A (H1N1) pandemic highlighted the importance of identifying public health measures to mitigate influenza virus transmission. Many countries would use nonpharmaceutical interventions, including facemasks, improved hand hygiene, cough etiquette, isolation of sick and quarantine of exposed individuals, social distancing measures, and travel restrictions, as their primary means to mitigate an influenza pandemic, particularly at its beginning (310). However, data are scarce on the effectiveness of simple personal protective measures, such as facemasks and hand hygiene, against pandemic or interpandemic influenza and on the modes of influenza virus transmission among people (5, 11). After a pilot study in 2007 (12), we conducted a prospective cluster randomized trial to test whether improved hand hygiene or surgical facemasks reduce the transmission of interpandemic influenza in households. We used a cluster design with randomization to interventions at the household level to avoid difficulties in blinding and potential contamination of interventions. Methods Design From 45 outpatient clinics in the private and public sectors across Hong Kong, we enrolled persons who reported at least 2 symptoms of acute respiratory illness (temperature37.8C, cough, headache, sore throat, or myalgia); had symptom onset within 48 hours; and lived in a household with at least 2 other people, none of whom had reported acute respiratory illness in the preceding 14 days. After participants gave informed consent, they provided nasal and throat swab specimens, which were combined and tested with the QuickVue Influenza A+B rapid diagnostic test (Quidel, San Diego, California). Participants with a positive rapid test result and their household contacts were randomly assigned to 1 of 3 study groups: control (lifestyle measures), control plus enhanced hand hygiene only, and control plus facemasks and enhanced hand hygiene. Table 1 provides detailed descriptions of the interventions. Data on clinical signs and symptoms were collected for all participants. An additional nasal and throat swab specimen was collected for laboratory confirmation of influenza virus infection by reverse-transcription polymerase chain reaction (RT-PCR). Table 1. Study Interventions Randomization lists were prepared by a biostatistician. The households of eligible study index patients were allocated to 3 groups in a 1:1:1 ratio under a block randomization structure with randomly permuted block sizes of 18, 24, and 30 by using a random-number generator (R software, R Development Core Team, Vienna, Austria). Interventions were assigned to households by the study manager on the basis of the randomization sequence. The allocation to specific intervention groups was concealed to recruiting physicians and clinics throughout the study. Participants and people who administered the interventions were not blinded to the interventions, but participants were not informed of the specific nature of the interventions applied to other participating households. After randomization, a home visit was scheduled within 2 days (ideally within 12 hours) to implement the intervention and to collect informed consent, baseline demographic data, and nasal and throat swab specimens from all household members 2 years of age or older. During the home visit, index patients and household contacts were instructed in the proper use of a tympanic thermometer. During the 6 days after the initial home visit, all household contacts were asked to keep daily symptom diaries. Further home visits were scheduled around 3 and 6 days after the baseline household visit to monitor adherence to interventions and to collect further nasal and throat swab specimens from all household members regardless of illness. During the final home visit, study nurses collected and reviewed symptom diaries, and they evaluated adherence to interventions by interview and by counting the number of surgical masks remaining and weighing the amount of soap and alcohol left in bottles and dispensers. Households were reimbursed for their participation with a supermarket coupon worth approximately U.S.

Risk of Influenza A (H5N1) Infection among Health Care Workers Exposed to Patients with Influenza A (H5N1), Hong Kong

25. All participants 18 years or older gave written informed consent. Proxy written consent from parents or legal guardians was obtained for persons 17 years or younger, with additional written assent from those 8 to 17 years of age. The study protocol was approved by the institutional review board of The University of Hong Kong and the Hospital Authority Hong Kong West Cluster. Outcome Measures The primary outcome measure was the secondary attack ratio at the individual level: the proportion of household contacts infected with influenza virus. We evaluated the secondary attack ratio by using a laboratory definition (a household contact with a nasal and throat swab specimen positive for influenza by RT-PCR) as the primary analysis and 2 clinical definitions of influenza based on self-reported data from the symptom diaries as secondary analyses (12). The first definition of clinical influenza was at least 2 of the following signs and symptoms: temperature 37.8C or greater, cough, headache, sore throat, and myalgia (13); the second was temperature 37.8C or greater plus cough or sore throat (14). An additional secondary outcome measure was the secondary attack ratio at the household (cluster) level: the proportion of households with 1 or more secondary case. Laboratory Methods Specimens collected from index patients at recruitment were stored in a refrigerator at 2 to 8C. Specimens collected during home visits were stored in an ice chest with at least 2 ice packs immediately after collection. Before the end of the day of a home visit, study nurses obtained samples to the nearest collection point for storage in a refrigerator at 2 to 8C. Samples stored at 2 to 8C in ice chests were delivered to the central testing laboratory at Queen Mary Hospital by courier. Samples were eluted and cryopreserved at 70C immediately after receipt. All specimens were tested by RT-PCR for influenza A and B viruses using standard methods (1517). The Appendix provides additional details of the laboratory procedures that we used. Statistical Analysis On the basis of data collected in our pilot study (12) and other studies with similar design (18, 19), we assumed that 10% to 15% of household contacts in the control group would develop RT-PCRconfirmed influenza, with an average household size of 3.8 and an intracluster correlation coefficient of 0.29. Specifying 80% power and a significance level of 5%, we aimed to follow 300 households in each intervention group to allow us to detect differences in secondary attack ratios of 35% to 45%, depending on the actual secondary attack ratios in the control group (15% or 10%, respectively). Recruiting 100 or 200 households to each group would allow 80% power to detect 55% to 70% and 45% to 55% differences in secondary attack ratios, assuming a secondary attack ratio of 10% to 15% in the control group. To evaluate and compare secondary attack ratios by intervention group, we estimated 95% CIs by using a cluster bootstrap technique with 1000 resamples (20) and chi-square tests and multivariable logistic regression models adjusting for potential within-household correlation (21, 22). We estimated the intracluster correlation coefficient from the mean squared errors in the secondary attack ratio between and within households (21). For the multivariable logistic regression models, we used forced-entry methods to include plausible confounders, including the intervention allocated, the age and sex of the household contacts and their corresponding index patients, vaccination status of the household contacts, and antiviral use in corresponding index patients, whereas missing data on the exact age of 14 household contacts were imputed by comparison with their relationship with the index patient or occupation. Participants were analyzed in the group to which they were randomly assigned, regardless of adherence to the intervention or use of hand washing or facemasks in groups not assigned that intervention. Our protocol specified that households with more than 1 member with RT-PCRconfirmed influenza virus infection at baseline (coindex patients) or index patients in whom influenza virus infection could not be confirmed by RT-PCR would be excluded from analyses. We excluded from analyses participants who dropped out before receiving the intervention and the few participants who dropped out after the intervention but before data on the primary outcome measure were collected (23). In sensitivity analyses, we analyzed all households in which the intervention was applied, using multiple imputation for unobserved outcomes (24) and including an additional explanatory variable for households with more than 1 index patient. Statistical analyses were conducted in R, version 2.7.1 (R Development Core Team). Role of the Funding Source The study was funded by the Centers for Disease Control and Prevention; the Research Fund for the

Preliminary Findings of a Randomized Trial of Non-Pharmaceutical Interventions to Prevent Influenza Transmission in Households

The first outbreak of avian influenza A (H5N1) occurred among humans in Hong Kong in 1997. To estimate the risk of person-to-person transmission, a retrospective cohort study was conducted to compare the prevalence of H5N1 antibody among health care workers (HCWs) exposed to H5N1 case-patients with the prevalence among nonexposed HCWs. Information on H5N1 case-patient and poultry exposures and blood samples for H5N1-specific antibody testing were collected. Eight (3.7%) of 217 exposed and 2 (0.7%) of 309 nonexposed HCWs were H5N1 seropositive (P=.01). The difference remained significant after controlling for poultry exposure (P=.01). This study presents the first epidemiologic evidence that H5N1 viruses were transmitted from patients to HCWs. Human-to-human transmission of avian influenza may increase the chances for the emergence of a novel influenza virus with pandemic potential.

Detection of SARS Coronavirus in Patients with Severe Acute Respiratory Syndrome by Conventional and Real-Time Quantitative Reverse Transcription-PCR Assays

Background There are sparse data on whether non-pharmaceutical interventions can reduce the spread of influenza. We implemented a study of the feasibility and efficacy of face masks and hand hygiene to reduce influenza transmission among Hong Kong household members. Methodology/Principal Findings We conducted a cluster randomized controlled trial of households (composed of at least 3 members) where an index subject presented with influenza-like-illness of <48 hours duration. After influenza was confirmed in an index case by the QuickVue Influenza A+B rapid test, the household of the index subject was randomized to 1) control or 2) surgical face masks or 3) hand hygiene. Households were visited within 36 hours, and 3, 6 and 9 days later. Nose and throat swabs were collected from index subjects and all household contacts at each home visit and tested by viral culture. The primary outcome measure was laboratory culture confirmed influenza in a household contact; the secondary outcome was clinically diagnosed influenza (by self-reported symptoms). We randomized 198 households and completed follow up home visits in 128; the index cases in 122 of those households had laboratory-confirmed influenza. There were 21 household contacts with laboratory confirmed influenza corresponding to a secondary attack ratio of 6%. Clinical secondary attack ratios varied from 5% to 18% depending on case definitions. The laboratory-based or clinical secondary attack ratios did not significantly differ across the intervention arms. Adherence to interventions was variable. Conclusions/Significance The secondary attack ratios were lower than anticipated, and lower than reported in other countries, perhaps due to differing patterns of susceptibility, lack of significant antigenic drift in circulating influenza virus strains recently, and/or issues related to the symptomatic recruitment design. Lessons learnt from this pilot have informed changes for the main study in 2008. Trial Registration ClinicalTrials.gov NCT00425893 HKClinicalTrials.com HKCTR-365

Fluoroquinolone and Other Antimicrobial Resistance in Invasive Pneumococci, Hong Kong, 1995–2001

Abstract Background: A novel coronavirus (CoV) was recently identified as the agent for severe acute respiratory syndrome (SARS). We compared the abilities of conventional and real-time reverse transcription-PCR (RT-PCR) assays to detect SARS CoV in clinical specimens. Methods: RNA samples isolated from nasopharyngeal aspirate (NPA; n = 170) and stool (n = 44) were reverse-transcribed and tested by our in-house conventional RT-PCR assay. We selected 98 NPA and 37 stool samples collected at different times after the onset of disease and tested them in a real-time quantitative RT-PCR specific for the open reading frame (ORF) 1b region of SARS CoV. Detection rates for the conventional and real-time quantitative RT-PCR assays were compared. To investigate the nature of viral RNA molecules in these clinical samples, we determined copy numbers of ORF 1b and nucleocapsid (N) gene sequences of SARS CoV. Results: The quantitative real-time RT-PCR assay was more sensitive than the conventional RT-PCR assay for detecting SARS CoV in samples collected early in the course of the disease. Real-time assays targeted at the ORF 1b region and the N gene revealed that copy numbers of ORF 1b and N gene sequences in clinical samples were similar. Conclusions: NPA and stool samples can be used for early diagnosis of SARS. The real-time quantitative RT-PCR assay for SARS CoV is potentially useful for early detection of SARS CoV. Our results suggest that genomic RNA is the predominant viral RNA species in clinical samples.

Staff compliance with infection control practices: application of behavioural sciences

Fluoroquinolone resistance among invasive pneumococci in Hong Kong was high and a result of clonal expansion and spread.

Factors affecting QuickVue Influenza A + B rapid test performance in the community setting

Microbiology and epidemiology have made significant contributions to the field of Infection Control. Most nosocomial infections which can be prevented are related to inappropriate patient care practices. However, it is extremely difficult to implement new infection control policies. To achieve staff compliance, infection control should learn from the behavioural sciences. Three related fields have been shown to be helpful in this respect: social psychology, consumer behaviour and organizational behaviour. Basic concepts from all three fields can be applied to the work of infection control for achieving staff compliance; the use of social power and the reasoned action model from the field of social psychology; the use of participatory decision-making from organizational behaviour; and the opinion leaders from consumer behaviour.

Antimicrobial stewardship program directed at broad-spectrum intravenous antibiotics prescription in a tertiary hospital.

Rapid diagnosis of influenza can facilitate timely clinical management. We evaluated the performance of the QuickVue Influenza A + B test (Quidel, San Diego, CA) in a community setting and investigated the factors affecting test sensitivity. We recruited 1008 subjects from 30 outpatient clinics in Hong Kong between February and September 2007. Each subject provided 2 pooled pairs of nose and throat swabs; 1 pair was tested by the QuickVue rapid test on site, and the other pair was sent to a laboratory for reference tests. Among 998 enrolled subjects with valid results, the rapid test had overall sensitivity of 0.68 and specificity of 0.96 compared with viral culture. Sensitivity for both influenza A and B was significantly higher for specimens with viral loads greater than 5 log(10) copies/mL. The QuickVue Influenza A + B test has similar sensitivity in point-of-care community settings to more controlled conditions.

Streptococcus zooepidemicus (Lancefield group C) septicaemia in Hong Kong

The antimicrobial stewardship program (ASP) is a major strategy to combat antimicrobial resistance and to limit its expenditure. We have improved on our existing ASP to implement a sustainable and cost-effective two-stage immediate concurrent feedback (ICF) model, in which the antimicrobial prescription is audited by two part-time infection control nurses at the first stage, followed by “physician ICF” at the second stage. In January 2005, an ASP focused on broad-spectrum intravenous antibiotics was implemented. All in-patients, except from the intensive care, bone marrow transplantation, liver transplantation, pediatric, and private units, being treated with broad-spectrum intravenous antibiotics were included. The compliance to ICF and “physician ICF”, antibiotics usage density measured by expenditure and defined daily doses (DDD) were recorded and analyzed before and after the ASP. The overall conformance rate to antibiotic prescription guidelines was 79.4%, while the conformance to ICF was 83.8%. Antibiotics consumption reduced from 73.06 (baseline, year 2004) to 64.01 (year 2007) per 1,000 patient bed-day-occupancy. Our model can be easily applied even in the clinical setting of limited resources.

Natural ventilation for reducing airborne infection in hospitals

The clinical findings relating to 11 patients in Hong Kong (HK) and to 43 patients described elsewhere, all with Streptococcus zooepidemicus septicaemia, are reviewed. There was a particular association with cardiovascular disease (27%) with seven cases of endocarditis, three of abdominal aortic aneurysm and two of deep venous thrombosis. Associations not previously reported included two cases of pharyngitis and two patients with persistent post-operative fever. The overall mortality was 22%. Both human and porcine strains of S. zooepidemicus from HK did not hydrolyse aesculin in contrast to the aesculin-positive biotypes reported previously. HK strains also had very mucoid colonies and capsules of hyaluronic acid were seen in electron micrographs. Samples of chromosomal DNA, extracted by means of HindIII restriction endonuclease, of strains from human beings and pigs were identical. The MIC of penicillin for all strains was less than or equal to 0.03 mg/l but the MBC for all was greater than 32 mg/l. Penicillin alone is generally sufficient for cure but combination with an aminoglycoside may be indicated in seriously ill patients. In our locality, pigs were incriminated as a possible source of human infection whereas consumption of contaminated dairy products is important elsewhere.