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From the Department of Medicine and Geriatrics (Chu, K.S. Chan, Leung, V.L. Chan, W.L. Ng, Sim, P.W. Ng) and the Intensive Care Unit (Law), United Christian Hospital, Hong Kong Special Administrative Region, China; the Department of Microbiology, Queen Mary Hospital, The University of Hong Kong (Poon, Cheng, Hung, Tang, K.H. Chan, Peiris, Yuen), Hong Kong Special Administrative Region, China; and the Department of Medicine and Geriatrics, Caritas Medical Centre (Wong, Tse), Hong Kong Special Administrative Region, China
| Abstract |
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Methods: We prospectively studied an inception cohort of 133 patients with virologically confirmed SARS who were admitted to 2 general acute care hospitals in Hong Kong from Mar. 24 to May 4, 2003. The patients were followed until death or for a minimum of 90 days. We used Cox proportional hazard modelling to analyze potential predictors of survival recorded at the time of presentation, including viral load from nasopharyngeal specimens (measured by quantitative reverse transcriptase polymerase chain reaction [PCR] of the SARS-associated coronavirus).
Results: Thirty-two patients (24.1%) met the criteria for acute respiratory distress syndrome, and 24 patients (18.0%) died. The following baseline factors were independently associated with worse survival: older age (6180 years) (adjusted hazard ratio [HR] 5.24, 95% confidence interval [CI] 2.0313.53), presence of an active comorbid condition (adjusted HR 3.36, 95% CI 1.447.82) and higher initial viral load of SARS coronavirus, according to quantitative PCR of nasopharyngeal specimens (adjusted HR 1.21 per log10 increase in number of RNA copies per millilitre, 95% CI 1.061.39).
Interpretation: We found preliminary evidence that higher initial viral load is independently associated with worse prognosis in SARS. Mortality data for patients with SARS should be interpreted in light of age, comorbidity and viral load. These considerations will be important in future studies of SARS.
The case-fatality ratio for SARS has varied from 7% to 17% in the most severely affected areas,6 but the reason for such variation has remained speculative. Several studies conducted early in the epidemic examined short-term adverse outcomes of SARS (admission to intensive care unit [ICU] or death).7,8,9,10,11 Data on the ultimate survival of patients with SARS were not available from these early studies, and some studies were performed before the SARS coronavirus had been identified; moreover, the factors identified in these studies as being associated with survival were generally not modifiable.12
In a previous small-scale study (23 patients),13 a high plasma or serum concentration of the SARS coronavirus was correlated with the short-term adverse outcome of admission to the ICU; however, ultimate outcomes were not reported in that study. In another study, viral replication in the nasopharynx was associated with more severe disease and diarrhea, and the peak viral load was associated with mortality.14 However, the peak viral load can be a result of multiple factors, such as treatment received and host clearance, and it is not known if the initial viral load, before initiation of treatment, is related to outcome.
We prospectively studied factors predicting the development of acute respiratory distress syndrome (ARDS) and the ultimate survival of patients with virologically confirmed SARS. In particular, we examined the hypothesis that high initial viral load would be associated with poorer outcomes. These results could have significant implications in future studies of SARS.
| Methods |
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The subjects included in the study met a modified World Health Organization definition of SARS,8with virologic confirmation of infection by the SARS coronavirus (paired serologic testing with or without positive result on reverse transcriptase polymerase chain reaction [PCR] for SARS coronavirus in clinical specimens). The paired serologic testing was performed on presentation and at day 28 after presentation. The virologic diagnostic protocol has been published previously.1,8 All patients were treated with broad-spectrum antibiotics, ribavirin and a tapering course of corticosteroid,15 as detailed in our previous publication.8 The complete clinical and virologic features of the first 75 patients have been previously reported.8The study was approved by the ethics committees of the United Christian Hospital and Caritas Medical Centre.
Patients who experienced respiratory failure were intubated and supported with mechanical ventilation, except if they or their surrogates refused intubation. Patients who received other forms of experimental treatment were excluded from the study.
Trained nurses collected nasopharyngeal specimens at the time of presentation, before any treatment. RNA was extracted by means of a QIAamp viral kit (QIAGEN GmbH, Hilden, Germany) according to the manufacturer's instructions. For the quantitative PCR (qPCR) assay, RNA and cDNA (complementary DNA) were generated as previously described.16 cDNA was amplified in a model 7000 sequence detection system (Applied Biosystems) with the TaqMan PCR core reagent kit (Applied Biosystems, Applera Corporation, Foster City, Calif.). To monitor the integrity of the RNA and to test whether these samples contained any PCR inhibitor, a real-time reverse transcriptase PCR for ß-actin mRNA (messenger RNA) was also performed (forward primer 5'-CCCAAGGCCAACCGCGAGAAGAT-3' and reverse primer 5'-GTCCCGGCCAGCCAGGTCCAG-3').
Patients were followed for a minimum of 90 days to track development of ARDS (defined as ratio of arterial oxygen pressure to fraction of inspired oxygen less than 200 mm Hg17) and death. Data for patients who were still alive at the end of follow-up (Aug. 31, 2003) were censored.
All timed data were recorded from onset of SARS symptoms. Results are expressed as mean (and standard deviation [SD]) unless otherwise specified. Univariate analyses were used to compare baseline clinical, biochemical, virologic and radiographic data in patients with and without ARDS. Student's t test and the Mann Whitney U test were used for continuous variables as appropriate; Fisher's exact test was used for categorical variables. Multiple logistic regression was used to assess baseline factors that might be associated with the development of ARDS. The Cox proportional hazards model was used to assess baseline factors that might be associated with poor survival; graphic and statistical checks for proportionality of hazards were performed. Factors significantly associated with death (p < 0.05) and known factors from previous studies were further examined by multivariate Cox regression to identify independent risk factors for reduced survival. The KaplanMeier product-limit estimator was used to estimate survival and for the time-to-death plot. Data are reported as the hazard ratio (HR) with 95% confidence interval (CI). A 2-tailed p value of less than 0.05 was considered statistically significant.
| Results |
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All patients had virologic documentation of infection with the SARS coronavirus by paired serologic testing. The mean age was 39.5 (SD 12.9) years, and there were 54 men (40.6%) and 79 women (59.4%). Pretreatment nasopharyngeal specimens were obtained at a mean of 3.9 (SD 1.9) days after onset of symptoms. All nasopharyngeal samples collected contained detectable ß-actin mRNA. The initial results of qPCR of the nasopharyngeal specimens ranged from undetectable to 8.8 log10 RNA copies/mL. There was no correlation between the viral load and the number of days elapsed from symptom onset to presentation (Spearman's
= 0.079, p = 0.42).
ARDS developed in 32 (24.1%) of the 133 patients. Of these 32 patients, 26 (19.5% of the total cohort) were put on ventilatory support, and 19 died (14.3% of the total cohort). Six of the 32 patients with ARDS did not receive ventilation. For 5 of these (3.8% of the total cohort), ventilatory support was withheld at the patient's or a surrogate's request, and these 5 patients died; for the sixth patient intubation was deferred and the patient subsequently made a full recovery without ventilation. There were a total of 24 deaths (18.0%) in the cohort. All of the deceased patients had intractable hypoxemia due to ARDS at the time of death; 5 (21%) of the 24 also had nosocomial sepsis and multiorgan failure, 2 (8%) had acute myocardial infarction, 1 (4%) had disseminated intravascular coagulopathy, and 1 (4%) had end-stage renal failure.
Predictive factors for ARDS
On univariate analysis, the following baseline factors were associated with ARDS: age (p = 0.001), comorbidity (p = 0.002), initial lactate dehydrogenase level (p = 0.034) and qPCR result of the nasopharyngeal specimen (p = 0.025) (Table 1). The crude odds ratio (OR) for qPCR of nasopharyngeal specimens (per log10 increase in number of RNA copies per millilitre) for the development of ARDS was 1.17 (95% CI 1.021.34; p = 0.03).
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Multiple logistic regression was used to examine whether the initial viral load was independently associated with ARDS; data on viral load were entered into models containing known prognostic factors (age, comorbidity and initial lactate dehydrogenase level). In only one model (together with comorbidity) was initial viral load independently associated with ARDS (adjusted OR 1.19, 95% CI 1.031.38; p = 0.018).
Predictive factors for reduced survival
On univariate analysis by the Cox proportional hazards model, the following baseline factors were associated with reduced survival: age (HR 1.06, 95% CI 1.031.08), male sex (HR 3.3, 95% CI 1.47.7), comorbidity (HR 3.53, 95% CI 1.548.07), creatinine level (HR 1.03, 95% CI 1.00 1.05), initial lactate dehydrogenase level (HR 1.002, 95% CI 1.0011.003) and qPCR result of the nasopharyngeal specimen (HR 1.20 per log10 increase in number of RNA copies per millilitre, 95% CI 1.051.37).
Multivariate Cox regression showed that 3 factors were independently associated with reduced survival: older age (6180 years) (adjusted HR 5.24, 95% CI 2.0313.53), comorbidity (adjusted HR 3.36, 95% CI 1.447.82) and qPCR result of the nasopharyngeal specimen (adjusted HR 1.21 per log10 increase in number of RNA copies per millilitre, 95% CI 1.061.39) (Table 2). A KaplanMeier plot with respect to the initial viral load is shown in Fig. 1.
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| Interpretation |
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It is difficult to compare case-fatality ratios between different cohorts and countries. Differences in distribution in terms of age, sex, disease activity (reflected by lactate dehydrogenase level) and proportion of cases confirmed by virologic tests have been cited as possible reasons for differences in case-fatality ratios.12 Our results suggest that such variation should be interpreted in light of host factors (age and comorbidity) and viral factors (viral load). In future studies, viral load should be monitored and analyzed, so that it can be considered in the interpretation of outcome data.
Our study had some limitations. First, it was limited to 2 centres. It was not possible to perform a large-scale multicentre study during the epidemic, as qPCR for SARS coronavirus was available only in research laboratories at that time. However, the overall mortality rate in this study was similar to the estimated mortality rates in a large-scale study of 1425 cases,19 which suggests that our cohort was representative of typical SARS cases. Another limitation was the lack of a validation sample. Such a sample was not available because the SARS epidemic was brought under control quickly, once effective public health and hospital infection control measures were implemented. In addition, because we set out to explore a range of potential prognostic factors, the number of variables tested was large relative to the event rates. Our results should be regarded as preliminary because of the increased probability that they are due to chance (because of this multiple testing). Finally, we did not investigate whether viral load in other specimens (e.g., stool or serum) was an important determinant of clinical outcomes.
We have provided preliminary evidence that higher initial nasopharyngeal viral load is independently associated with worse prognosis in SARS. Mortality data for SARS should be interpreted in light of age, comorbidity and viral load. Monitoring of SARS coronavirus by qPCR should be an integral part of future SARS studies.
ß See related articles pages 1342, 1353
| Footnotes |
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Contributors: Conception and design: Chung-Ming Chu, Kin-Sang Chan, Kwok-Yung Yuen; acquisition of clinical data: Chung-Ming Chu, Maureen Wong, Wah-Shing Leung, Veronica Chan, Woon-Leung Ng, Tiong-Chee Sim, Ping-Wing Ng, Kin-Ip Law, Doris Tse; acquisition of virological data: Leo Poon, Vincent Cheng, Ivan Hung, Kwok-Hung Chan, Bone Tang, Joseph Peiris, Kwok-Yung Yuen; analysis and interpretation of data: Chung-Ming Chu, Leo Poon, Vincent Cheng, Kin-Sang Chan, Kwok-Yung Yuen; drafting of manuscript: Chung-Ming Chu, Leo Poon, Vincent Cheng, Kin-Sang Chan; and critical revision of manuscript for important intellectual content: Chung-Ming Chu, Kin-Sang Chan, Kwok-Yung Yuen. All authors critically reviewed and approved the final version to be published.
Acknowledgements: We acknowledge research funding from the Suen Chi Sun Charitable Foundation, the Hong Kong University SARS Donation Fund (DBS) and an RGC grant (HKU7543/03M).
Competing interests: None declared.
Correspondence to: Dr. Kwok-Yung Yuen, Department of Microbiology, Queen Mary Hospital, The University of Hong Kong, Pokfulam Road, Hong Kong, SAR, China; fax 852 285-5124; kyyuen{at}hkucc.hku.hk
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