Literature DB >> 33152376

First and second COVID-19 waves in Japan: A comparison of disease severity and characteristics.

Sho Saito1, Yusuke Asai2, Nobuaki Matsunaga2, Kayoko Hayakawa3, Mari Terada4, Hiroshi Ohtsu5, Shinya Tsuzuki6, Norio Ohmagari3.   

Abstract

Entities:  

Keywords:  Characteristics; Covid-19; Mortality; Severity

Year:  2020        PMID: 33152376      PMCID: PMC7605825          DOI: 10.1016/j.jinf.2020.10.033

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


× No keyword cloud information.
Dear Editor, We read with interest the recent article published in your journal detailing the severity of coronavirus disease 2019 (COVID-19) in China during the first wave of the pandemic. COVID-19 has become a global pandemic, occurring in forming several peaks in waves , . This study compared the severity and characteristics of the first and second waves in Japan. We obtained the study data from the COVID-19 Registry Japan (COVIREGI-JP). The COVIREGI-JP includes data from a observational cohort study using medical records in Japan. The criteria for enrolment were (1) tests such as polymerase chain reaction (PCR) and loop-mediated isothermal amplification (LAMP) that turned positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and (2) inpatient treatment at a health care facility. We evaluated age, sex, comorbidities, disease severity at admission, supportive care, medications, and the outcome on discharge. A patient's condition was denoted as “severe” on fulfilment of one or more of the following criteria: the need for invasive or non-invasive mechanical ventilation, need for supplemental oxygen, an oxygen saturation (SpO2) of < 94% at room air, and tachypnoea (respiratory rate of >24 breaths per minute). Patients who did not meet these criteria were classified as “non-severe” at admission. Patients admitted between 26 January and 31 May 2020, were included in the first wave, and those admitted between 1 June and 31 July 2020, were included in the second wave (frozen data as of 2 September 2020). Continuous variables were expressed as medians and interquartile ranges, and categorical variables were expressed as numbers (%). All statistical analyses were conducted using R version 4.0.2 (R core Team). Data of 5194 cases from 327 facilities were included in the analysis: 3833 and 1361 cases from the first and second waves, respectively. At admission, the second wave had a smaller proportion of severe cases (12.0% vs 33.1%, Fig. 1 a); the duration from onset to admission was also shorter (median, 4 vs 7 days) than that in patients in the first wave (Fig. 1b, 1c). Patients in the second wave tended to be younger (median age, 37 vs 56 years), were less frequently transferred from other hospitals (3.8% vs 15.0%) and were less likely to have comorbidities such as cardiovascular diseases (1.9% vs 5.9%), and cerebrovascular disease (1.8% vs 6.1%). Mortality (1.2% vs 7.3%) in hospitalized or discharged patients was also lower in the second wave; the same trend was observed on stratification according to age and severity at admission (Table 1 ).
Fig. 1

Epidemic curve, severity, and days from onset to admission in COVID-19 patients in Japan

(a) Epidemic curve and severity from 26 January to 31 July 2020, as recorded in the COVID-19 Registry Japan.

(b) Number of days from onset to admission from 26 January to 31 May (first wave)

(c) Number of days from onset to admission from 1 June to 31 July (second wave)

Abbreviations: COVIREGI-JP, COVID-19 Registry Japan; COVID-19, coronavirus disease.

Table 1

Demographics, characteristics, comorbidities, treatments, and outcomes of the patients.

1st wave: From 26 January to 31 May
2nd wave: From 1 June to 31 July
AllAllNon-severeSevereAllNon-severeSevere
No. (%)a51943833 (73.8)2563 (66.9)1270 (33.1)1361 (26.2)1198 (88.0)163 (12.0)
Demographics
Sex (Male)3068 (59.2)2272 (59.5)1398 (54.8)874 (68.9)796 (58.6)687 (57.5)109 (66.9)
Age, yMedian [IQR]52 [34, 68]56 [40, 71]51 [35, 66]67 [53, 79]37 [25, 53]35 [25, 50]57.5 [39.25, 72.75]
0–643609 (69.8)2447 (64.0)1871 (73.2)576 (45.4)1162 (86.1)1066 (89.7)96 (59.3)
≥651565 (30.2)1377 (36.0)685 (26.8)692 (54.6)188 (13.9)122 (10.3)66 (40.7)
Ethnicity (Japanese)4928 (95.2)3634 (95.1)2412 (94.4)1222 (96.4)1294 (95.3)1140 (95.4)154 (94.5)
Transfer from other hospitals624 (12.1)573 (15.0)218 (8.6)355 (28.0)51 (3.8)29 (2.5)22 (13.5)
Days from onset to admissionMedian [IQR]6 [3, 9]7 [4, 10]6 [4, 10]7 [4, 10]4 [2, 7]4 [2, 6.25]5 [3, 7]
Comorbidity
Cardiovascular diseasesb251 (4.8)225 (5.9)87 (3.4)138 (10.9)26 (1.9)16 (1.3)10 (6.1)
Cerebrovascular disease257 (4.9)232 (6.1)105 (4.1)127 (10.0)25 (1.8)15 (1.3)10 (6.1)
Chronic respiratory diseasesc184 (3.5)155 (4.0)45 (1.8)110 (8.7)29 (2.1)13 (1.1)16 (9.8)
Severe renal diseases or dialysis65 (1.3)56 (1.5)29 (1.1)27 (2.1)9 (0.7)7 (0.6)2 (1.2)
Diabetes738 (14.2)630 (16.4)312 (12.2)318 (25.0)108 (7.9)71 (5.9)37 (22.7)
Obesityd249 (4.8)192 (5.0)107 (4.2)85 (6.7)57 (4.2)41 (3.4)16 (9.8)
Solid tumour193 (3.7)173 (4.5)88 (3.4)85 (6.7)20 (1.5)16 (1.3)4 (2.5)
Immunosuppressione131 (2.6)122 (3.2)74 (2.9)48 (3.9)9 (0.7)8 (0.7)1 (0.6)
Supportive caref
Oxygen therapy1664 (32.1)1487 (38.8)452 (17.7)1035 (81.6)177 (13.0)89 (7.4)88 (54.0)
Invasive mechanical ventilation / ECMO389 (7.5)371 (9.7)47 (1.8)324 (25.6)18 (1.3)5 (0.4)13 (8.0)
Medicationf
Favipiravir1806 (68.3)1542 (70.0)781 (64.0)761 (77.5)264 (59.7)192 (55.8)72 (73.5)
Steroid (excluding Ciclesonide)468 (9.1)374 (9.9)99 (3.9)275 (21.8)94 (6.9)51 (4.3)43 (26.4)
Anticoagulant420 (8.1)363 (9.5)92 (3.6)271 (21.3)57 (4.2)28 (2.3)29 (17.8)
Remdesivir40 (1.5)11 (0.5)2 (0.2)9 (0.9)29 (6.6)14 (4.1)15 (15.5)
Ciclesonide1373 (52.1)1142 (52.1)663 (54.8)479 (48.8)231 (52.1)192 (55.7)39 (39.8)
Nafamostat224 (9.8)189 (10.3)78 (8.0)111 (13.0)35 (7.9)23 (6.7)12 (12.2)
Outcome
Death295 (5.7)279 (7.3)63 (2.5)216 (17.0)16 (1.2)4 (0.3)12 (7.4)
Age: 0–90 (0)0 (0)0 (0)0 (0)0 (0)0 (0)0 (0)
Age: 10–190 (0)0 (0)0 (0)0 (0)0 (0)0 (0)0 (0)
Age: 20–291 (0.1)1 (0.3)0 (0)1 (2.9)0 (0)0 (0)0 (0)
Age: 30–391 (0.1)1 (0.2)1 (0.3)0 (0)0 (0)0 (0)0 (0)
Age: 40–494 (0.5)4 (0.7)1 (0.2)3 (2.5)0 (0)0 (0)0 (0)
Age: 50–5910 (1.1)10 (1.4)1 (0.2)9 (4.1)0 (0)0 (0)0 (0)
Age: 60–6947 (6.8)46 (7.7)10 (2.9)36 (14.1)1 (1.1)0 (0)1 (4.5)
Age: 70–7978 (12.1)75 (13.3)18 (6.2)57 (20.6)3 (3.7)1 (2.0)2 (6.2)
Age: ≥80154 (27.1)142 (28.0)32 (14.1)110 (39.1)12 (20.0)3 (8.3)9 (37.5)
Selfcare ability (Worsened)g398 (8.2)361 (10.2)123 (4.9)238 (22.8)37 (2.8)14 (1.2)23 (15.3)
Walking ability (Worsened)g384 (9.0)344 (11.8)110 (5.4)234 (26.0)40 (3.0)17 (1.4)23 (15.3)
Transfer to long-term care facilityg84 (1.6)73 (1.9)39 (1.5)34 (2.7)11 (0.8)6 (0.5)5 (3.1)

Since the number of missing values varies for each parameter, the number of cases in the severity category for each parameter was used as the denominator to calculate the percentages.

Cardiovascular diseases include myocardial infarction, congestive heart failure, and peripheral vascular disease.

Chronic respiratory diseases include chronic obstructive pulmonary disease and chronic lung diseases, which were defined as pulmonary diseases resulting in dyspnoea upon slight activity.

Obesity was based on physician diagnosis.

Immunosuppression includes neutropenia (< 500 neutrophils/μL), use of glucocorticoids/steroids within 1 month (doses greater or equal to an equivalent of 20 mg of prednisone per day for at least 1 month), chemotherapy or radiation therapy or the use of immunosuppressants (such as antitumor necrosis factor-α therapy, anti-IL-6 receptor/anti-CD20 monoclonal antibodies, selective T-cell co-stimulation blockers, methotrexate, tacrolimus) within the past 3 months, post hematopoietic stem cell transplantation, post organ transplantation, asplenia, and primary immunodeficiency syndrome or HIV infection.

Patients who received these treatments at least once during their hospitalization were included.

Data were counted only for patients who were alive at discharge.

Abbreviations: COVID-19, coronavirus disease; ECMO, extracorporeal membrane oxygenation; IQR, interquartile range.

Epidemic curve, severity, and days from onset to admission in COVID-19 patients in Japan (a) Epidemic curve and severity from 26 January to 31 July 2020, as recorded in the COVID-19 Registry Japan. (b) Number of days from onset to admission from 26 January to 31 May (first wave) (c) Number of days from onset to admission from 1 June to 31 July (second wave) Abbreviations: COVIREGI-JP, COVID-19 Registry Japan; COVID-19, coronavirus disease. Demographics, characteristics, comorbidities, treatments, and outcomes of the patients. Since the number of missing values varies for each parameter, the number of cases in the severity category for each parameter was used as the denominator to calculate the percentages. Cardiovascular diseases include myocardial infarction, congestive heart failure, and peripheral vascular disease. Chronic respiratory diseases include chronic obstructive pulmonary disease and chronic lung diseases, which were defined as pulmonary diseases resulting in dyspnoea upon slight activity. Obesity was based on physician diagnosis. Immunosuppression includes neutropenia (< 500 neutrophils/μL), use of glucocorticoids/steroids within 1 month (doses greater or equal to an equivalent of 20 mg of prednisone per day for at least 1 month), chemotherapy or radiation therapy or the use of immunosuppressants (such as antitumor necrosis factor-α therapy, anti-IL-6 receptor/anti-CD20 monoclonal antibodies, selective T-cell co-stimulation blockers, methotrexate, tacrolimus) within the past 3 months, post hematopoietic stem cell transplantation, post organ transplantation, asplenia, and primary immunodeficiency syndrome or HIV infection. Patients who received these treatments at least once during their hospitalization were included. Data were counted only for patients who were alive at discharge. Abbreviations: COVID-19, coronavirus disease; ECMO, extracorporeal membrane oxygenation; IQR, interquartile range. Our study showed that the proportion of cases involving severe disease at admission was smaller in the second wave. Considering the lower percentage of patients transferred from other hospitals in the second wave, it is likely that the first wave had a more critical effect on the ability of healthcare institutions to receive patients. Moreover, the number of PCR tests performed was greater in the second wave than in the first wave . Earlier admission of patients in the second wave may reflect the increase in the number of PCR tests performed and the number of beds available to COVID-19 patients. Data from the second wave indicated a demographic shift toward a younger population with fewer comorbidities, a lower proportion of severe patients at admission, and decreased mortality. However, the mortality was lower in second wave even if stratifying age and severity at admission. This may be because of the shorter time between disease onset and admission, differences in patient background, comorbidities, and advances in treatment methods. Although this registry gathers information on a large number of patients, it does not cover all patients in Japan, and data from the second half of the second wave was not included in this study; this may be a source of bias in this study. In addition, since data are updated daily, there is a possibility that future findings will differ from the current results. The findings of our study indicated that in the first wave, the medical system was under greater strain with more severe cases on admission. In the second wave, patients were younger with fewer underlying diseases and lower mortality rates.

Declaration of Competing Interest

H.O. reports personal fees as a statistician and as an external consultant for clinical trials from EPS International, outside the submitted work. All other authors report no potential conflicts.
  58 in total

1.  Characteristics of patients with novel coronavirus disease (COVID-19) during the first surge versus the second surge of infections in Osaka Prefecture, Japan.

Authors:  Taro Takeuchi; Tetsuhisa Kitamura; Atsushi Hirayama; Yusuke Katayama; Takeshi Shimazu; Tomotaka Sobue
Journal:  Glob Health Med       Date:  2021-04-30

2.  Japanese WHO Collaborating Centres (WHO CCs) fight against COVID-19.

Authors:  Masami Fujita; Tamami Umeda; Noriko Fujita; Tomoko Nishioka; Azusa Iwamoto; Norio Ohmagari; Masahiro Ishikane; Hidechika Akashi; Norihiro Kokudo
Journal:  Glob Health Med       Date:  2021-04-30

3.  A data driven agent-based model that recommends non-pharmaceutical interventions to suppress Coronavirus disease 2019 resurgence in megacities.

Authors:  Ling Yin; Hao Zhang; Yuan Li; Kang Liu; Tianmu Chen; Wei Luo; Shengjie Lai; Ye Li; Xiujuan Tang; Li Ning; Shengzhong Feng; Yanjie Wei; Zhiyuan Zhao; Ying Wen; Liang Mao; Shujiang Mei
Journal:  J R Soc Interface       Date:  2021-08-25       Impact factor: 4.118

4.  EpiBeds: Data informed modelling of the COVID-19 hospital burden in England.

Authors:  Christopher E Overton; Lorenzo Pellis; Helena B Stage; Francesca Scarabel; Joshua Burton; Christophe Fraser; Ian Hall; Thomas A House; Chris Jewell; Anel Nurtay; Filippo Pagani; Katrina A Lythgoe
Journal:  PLoS Comput Biol       Date:  2022-09-06       Impact factor: 4.779

5.  Impact of prioritized vaccinations for the elderly on the COVID-19 pandemic in Japan.

Authors:  Hidetoshi Nomoto; Kayoko Hayakawa; Norio Ohmagari
Journal:  Glob Health Med       Date:  2022-04-30

6.  Time trends in social contacts of individuals according to comorbidity and vaccination status, before and during the COVID-19 pandemic.

Authors:  Aurélie Godbout; Mélanie Drolet; Myrto Mondor; Marc Simard; Chantal Sauvageau; Gaston De Serres; Marc Brisson
Journal:  BMC Med       Date:  2022-05-23       Impact factor: 11.150

7.  The profile of patients hospitalized with COVID-19 under the Quarantine Act in a designated hospital near an international airport in Japan.

Authors:  Ryota Hase; Yoshifumi Kubota; Yu Niiyama; Keiko Ishida; Emiri Muranaka; Koki Kikuchi; Takashi Kurita; Haruki Mito; Hiroki Sasazawa; Yudai Yano
Journal:  Glob Health Med       Date:  2021-06-30

8.  Nationwide survey of the coronavirus disease 2019 prevention and treatment systems for kidney disease patients: a study of Japanese Society of Nephrology-certified educational facilities.

Authors:  Yuka Sugawara; Masao Iwagami; Yoko Yoshida; Kan Kikuchi; Ryoichi Ando; Toshio Shinoda; Munekazu Ryuzaki; Hidetomo Nakamoto; Ken Sakai; Norio Hanafusa; Naoki Kashihara; Masaomi Nangaku
Journal:  Clin Exp Nephrol       Date:  2021-05-31       Impact factor: 2.801

9.  Predictors of severe COVID-19 in kidney transplant recipients in the different epidemic waves: Analysis of the Spanish Registry.

Authors:  Florentino Villanego; Auxiliadora Mazuecos; Isabel M Pérez-Flores; Francesc Moreso; Amado Andrés; Carlos Jiménez-Martín; María Molina; Cristina Canal; Luis A Sánchez-Cámara; Sofía Zárraga; María Del Carmen Ruiz-Fuentes; María José Aladrén; Edoardo Melilli; Verónica López; Emilio Sánchez-Álvarez; Marta Crespo; Julio Pascual
Journal:  Am J Transplant       Date:  2021-04-12       Impact factor: 8.086

Review 10.  COVID-19 Infection during Pregnancy: Risk of Vertical Transmission, Fetal, and Neonatal Outcomes.

Authors:  Marwa Saadaoui; Manoj Kumar; Souhaila Al Khodor
Journal:  J Pers Med       Date:  2021-05-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.