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Non-febrile COVID-19 patients were common and often became critically ill: a retrospective multicenter cohort study

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Recent cohort studies frequently reported low rate of fever in coronavirus disease 2019 (COVID-19) patients [1, 2], which was in sharp contrast with previous studies that reported > 98% of patients presented fever on admission [3, 4]. Fever is a protective response for infections and an important criterion in the diagnosis of COVID-19. To understand the prevalence of fever in COVID-19 and its correlation with other symptoms and outcomes, we conducted a chart review of 252 hospitalized patients from 15 participating hospitals in Guangdong, Hubei, and Jiangxi provinces, China, from January 19 to March 6, 2020 (Table 1). Diagnosis of COVID-19 was based on positive severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) reverse transcription-PCR test. Our study was approved by the institutional review boards of the Sun Yat-sen University and the participating hospitals.

Table 1 Demographics and clinical characteristics of COVID-19 patients on admission

Demographic, clinical, laboratory, treatment, and outcome data were collected. The hospital course was reviewed for severity of disease. Critically ill patients were defined as those admitted to the ICU requiring mechanical ventilation or had a fraction of inspired oxygen (FiO2) of at least 60% [5]. SPSS (Statistical Package for the Social Sciences) version 24.0 software (SPSS Inc.) was used for Mann-Whitney U, chi-square, and the Fisher’s exact test. All statistical tests were two sided, with p values of < 0.05 considered to be statistically significant.

We found that, on admission, 197 (78%) patients had temperatures ≥ 37.3 °C, 93 (37%) patients had temperatures > 38 °C, and 13 (5%) patients had temperatures > 39 °C (Table 1). We then examined the differential symptoms and outcomes between febrile (≥ 37.3 °C) and non-febrile (< 37.3 °C) patients.

The most common symptoms on admission in both febrile and non-febrile patients were cough, poor appetite, and sputum production (Table 1). Smaller proportion of the non-febrile patients presented cough, poor appetite, and sputum production, compared to the febrile patients. In contrast, larger proportion of the non-febrile patients presented cephalalgia. The negative correlation between cephalalgia and fever is intriguing. Currently, there is no evidence for SARS-CoV-2 infection in brain tissue, although ACE2 expression in neuron was observed. Perhaps inflammatory cytokines from peripheral blood caused headache [6] in COVID-19. Cephalalgia may be a useful sign for the identification of non-febrile COVID-19, when epidemiological evidence for the infection exists.

No significant difference in any of the recorded comorbidities was observed between febrile and non-febrile patients.

Similar high proportions of febrile (157 [80%]) and non-febrile patients (43 [78%]) required oxygen supplementation (Table 1), indicating that respiratory system was the most affected system for both groups of patients. Among these, 17 (9%) febrile and 4 (7%) non-febrile patients developed acute respiratory distress syndrome (ARDS). Forty-three (17%) febrile and 9 (16%) non-febrile patients were admitted to the ICU. Critical illness was similarly common in the febrile (40 patients [20%]) and non-febrile (12 patients [22%]) patients.

Fever promotes inflammatory reaction, which may help control viral infection leading to beneficial outcomes. However, fever-induced upregulation of the inflammatory cytokines such as IL-1, TNF, and IL-6 may contribute to cytokine storm that contributes to critical illness. These double-edged effects of fever may explain the absence of correlation between fever and the disease outcome.

Given the high proportion of non-febrile patients in COVID-19, and that 20% non-febrile patients became critically ill, heightened attention for this elusive group of patients may be required for a better containment of the pandemic. Our finding is a timely alarm for health care workers and general population that temperature monitoring alone does not identify many of the COVID-19 patients.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Abbreviations

ARDS:

Acute respiratory distress syndrome

COVID-19:

Coronavirus disease 2019

FiO2 :

Fraction of inspired oxygen

SARS-CoV-2:

Severe acute respiratory syndrome-related coronavirus-2

References

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Acknowledgements

We thank Drs. Jie Li, Guangjun Yan (Jingzhou Hospital of Traditional Chinese Medicine, China), Yunle Wan, Yifeng Zou (The Six Affiliated Hospital of Sun Yat-sen University, China), Lihan Shen (Dongguan People’s Hospital, China), and Shudong Jiang (Jieyang People’s Hospital, China) for assistance in the data collection.

Funding

This study was partially supported by the National Natural Science Foundation of China 81770571 (to LZ), 81970452 (to PL), 81774152 (to RZ); the Guangzhou Science and Technology Plan Projects 201803040019 (to PL); Guangdong Province “Pearl River Talent Plan” Innovation and Entrepreneurship Team Project (2019ZT08Y464); Sun Yat-sen University 5010 project 2010012 (to PL); and the National Key Clinical Discipline of China.

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Contributions

LZ, RL, and PL conceived and designed this study. YL, NJ, SC, and LZ collected the data. All authors analyzed the data. YL, NJ, and LZ prepared the manuscript. All authors critically revised the manuscript and approved the final version.

Corresponding authors

Correspondence to Lixin Zhu, Ruixin Zhu or Ping Lan.

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Ethics approval and consent to participate

Our study was approved by the institutional review boards of the Sun Yat-sen University and the participating hospitals. The informed consent was waived because this chart review did not involve any patient tissue or interview.

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Not applicable.

Competing interests

All authors declare no competing interests.

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Li, Y., Jiao, N., Zhu, L. et al. Non-febrile COVID-19 patients were common and often became critically ill: a retrospective multicenter cohort study. Crit Care 24, 314 (2020). https://doi.org/10.1186/s13054-020-03037-8

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