ArticlePDF Available

First confirmed case of COVID-19 infection in India: A case report

Authors:
  • Governmental Medical College, Ernakulam
1
© 2020 Indian Journal of Medical Research, published by Wolters Kluwer - Medknow for Director-General, Indian Council of Medical Research
Sir,
Coronaviruses (CoV) are a large family of viruses
that cause illness ranging from the common cold to
more severe diseases such as Middle East respiratory
syndrome (MERS)-CoV and severe acute respiratory
syndrome (SARS)-CoV1. On December 31, 2019, China
informed the World Health Organization (WHO) about
cases of pneumonia of unknown aetiology detected in
Wuhan city, Hubei province of China. From December
31, 2019 to January 3, 2020, a total of 44 patients with
pneumonia of unknown aetiology were reported to the
WHO by the national authorities in China2. During
this period, the causal agent was not identied. The
cases initially identied had a history of exposure to
the Huanan Seafood Wholesale Market3. The most
common clinical features of the early clinical cases from
Wuhan, China, were fever (98.6%), fatigue (69.6%)
and dry cough (59.4%)4. The second meeting of the
Emergency Committee convened by the WHO Director-
General under the International Health Regulations
(2005) regarding the outbreak of novel coronavirus
2019 in the People’s Republic of China on January 30,
2020, declared COVID-19 outbreak as Public Health
Emergency of International Concern (PHEIC)5. As on
February 17, 2020, except China, 25 other countries
have been aected by COVID-19 outbreak with 70,635
conrmed cases and 1,772 deaths in China. Outside
China, 794 cases were reported with three deaths6.
We present here the rst case of COVID-19
infection reported in Kerala, India. On January 27,
2020, a 20 yr old female presented to the Emergency
Department in General Hospital, Thrissur, Kerala,
with a one-day history of dry cough and sore throat.
There was no history of fever, rhinitis or shortness of
breath. She disclosed that she had returned to Kerala
from Wuhan city, China, on January 23, 2020 owing
to COVID-19 outbreak situation there. She was
asymptomatic between January 23 and 26. On the 27th
morning, she felt a mild sore throat and dry cough.
She did not give a history of contact with a person
suspected or conrmed with COVID-19 infection. She
did not visit the Huanan Seafood Wholesale Market,
however, she gave a history of travel from Wuhan
to Kunming by train where she noticed people with
respiratory symptoms in railway station and train.
She received the instructions from the Kerala State
authorities to visit a healthcare facility if she develops
any symptoms because of the travel history to China.
In the Emergency department in General Hospital,
she was afebrile with a pulse rate of 82/min, blood
pressure 130/80 mmHg, temperature 98.5°F and
oxygen saturation 96 per cent while the patient was
breathing ambient air. Lung auscultation revealed
normal breath sounds with no adventitious sounds.
In view of her travel history from Wuhan, the district
rapid response team decided to admit her in an isolation
room which was designated for the corona epidemic.
An oropharyngeal swab was obtained and was sent
to the ICMR-National Institute of Virology (NIV),
Pune, for the detection of viral respiratory pathogens
on January 27, 2020. Three millilitres each of EDTA
blood and plain blood samples were also collected and
sent to NIV, Pune, where COVID-19 was diagnosed
using real time reverse transcription PCR. Specimen
collection was done on day 0 (admission) and every
alternate day. Urine and stool samples were also sent for
detailed evaluation. She was started on azithromycin
(500 mg), cetirizine (10 mg) and saline gargle. Over
the next three days, her symptoms improved.
Her oropharyngeal swab result was reported by
the NIV, Pune, to District Control Cell on January
30, 2020 as positive for COVID-19 infection. The
details of basic laboratory investigations done on
days 3, 7 and 20 of illness are shown in the Table.
On day 1 of illness, the total white blood cell count
was towards the low normal side, but on days 5 and
Quick Response Code:
Correspondence
First conrmed case of COVID-19 infection in India: A case report
Indian J Med Res, Epub ahead of print
DOI: 10.4103/ijmr.IJMR_2131_20
[Downloaded free from http://www.ijmr.org.in on Tuesday, June 2, 2020, IP: 47.30.213.160]
2 INDIAN J MED RES, 2020
20, the count showed a rise which was consistent
with a viral infection. Erythrocyte sedimentation rate
was highest on day 7. The rest of the investigations
were normal. She was referred to the Government
Medical College, Thrissur, Kerala on January 31,
2020, and was admitted in isolation block designated
for corona infection. By this time, the outbreak
monitoring unit of the institution had brought out
a detailed policy regarding the standard operating
procedures including infection control measures to
be followed in the isolation block. On presentation,
she had only mild sore throat and rhinitis. She was
conscious, oriented, afebrile, with pulse rate 76/min,
blood pressure 100/70 mmHg, respiratory rate 12/min
and oxygen saturation 97 per cent in the ambient air.
General examination revealed no signicant ndings.
She was started on oseltamivir and symptomatic
measures. She gradually improved over the three days
and became asymptomatic on February 3, 2020 and
became negative for COVID-19 infection on day 19
of her illness. The oropharyngeal swabs for diagnosis
of COVID-19 infection were collected on days 1, 4,
5, 7 and every alternate day, i.e. days 9, 11, 13 and
so on after the onset of illness. The initial swabs
remained positive till day 17 after which the swabs on
days 19, 21 and 23 were negative and the patient was
discharged. She was discharged from the hospital on
February 20, 2020.
A detailed contact tracing was done by the
Community Medicine department of the Government
Medical College, Thrissur, with the District Health
Authorities. Those identied were followed up for 28
days for any symptoms. All healthcare workers in the
isolation block also were followed up for 14 days.
Financial support & sponsorship: None.
Conicts of Interest: None.
M. A. Andrews1,*, Binu Areekal2, K.R. Rajesh3,
Jijith Krishnan3, R. Suryakala4, Biju Krishnan6,
C. P. Muraly5 & P.V. Santhosh6
Departments of 1Medicine, 2Community
Medicine, 3Internal Medicine, 4Microbiology,
5Pulmonology & 6Surgery, Government Medical
College, Thrissur 680 596, Kerala, India
Table. Clinical laboratory report of the patient
Measure Days of illness
1 5 14 24
Haemoglobin (g/dl) 10.8 12.2 12.1 11.3
Total WBC count (cells/µl) 5300 7300 7400 8500
Dierential count Polymorphs-46
Lymphocytes-47
Monocytes-7
Polymorphs-47
Lymphocytes-42
Monocytes-11
Polymorphs-50
Lymphocytes-46
Monocytes-4
Polymorphs-56
Lymphocytes-36
Monocytes-8
Platelet count (×106 cells/µl) 2.88 3.6 3 3.9
ESR 13 44 33 80
Urine routine Normal Normal Normal Normal
Random blood sugar (mg/dl) 89 82 83 95
Blood urea (mg/dl) 22 14 14 14
Serum creatinine (mg/dl) 0.7 0.8 0.7 0.6
Serum sodium (mmol/l) 136 135 134 134
Serum potassium (mmol/l) 4.3 4.4 4.2 4.3
Total bilirubin (mg/dl) 0.7 0.4 0.5 0.4
Direct bilirubin (mg/dl) 0.2 0.2 0.2 0.2
Total protein (g/dl) 6.1 6.8 6.2 7.8
Serum albumin (g/dl) 3.9 4 3.4 4.8
Alanine aminotransferase (IU/l) 15 13 16 16
Aspartate aminotransferase (IU/l) 19 21 23 22
Alkaline phosphatase (IU/l) 113 110 116 150
WBC, white blood cell; ESR, erythrocyte sedimentation rate
[Downloaded free from http://www.ijmr.org.in on Tuesday, June 2, 2020, IP: 47.30.213.160]
ANDREWS et al: FIRST COVID-19 CASE IN INDIA 3
*For correspondence:
anjulioness@gmail.com
Received May 23, 2020
References
1. Coronavirus disease: What you need to know. Available from:
https://www.afro.who.int/news/coronavirus-disease-what-you-
need-know, accessed on February 18, 2020.
2. World Health Organization. Pneumonia of unknown cause
– China. Geneva: WHO; January 5, 2020. Available from:
https://www.who.int/csr/don/05-january-2020-pneumonia-
of-unkown-cause-china/en/, accessed on February 18, 2020.
3. World Health Organization. Novel coronavirus – China.
Available from: http://www.who.int/csr/don/12-january-2020-
novel-coronavirus-china/en/, accessed on February 18, 2020.
4. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical
Characteristics of 138 hospitalized patients with 2019 novel
coronavirus-infected pneumonia in Wuhan, China. JAMA
2020; 323 : 1061-9.
5. World Health Organization. Novel coronavirus (2019-nCoV)
situation report – 11. Geneva: WHO; January 31, 2020.
6. World Health Organization. Coronavirus disease 2019
(COVID-19) Situation Report – 28. Geneva: WHO; February
17, 2020.
[Downloaded free from http://www.ijmr.org.in on Tuesday, June 2, 2020, IP: 47.30.213.160]
... It was on the 31 December 2019 that China informed the World Health Organization (WHO) about cases of pneumonia with unknown aetiology detected in the Wuhan city, Hubei province of China. 1 By 30 January 2020, the WHO declared COVID-19 as a Public Health Emergency of International Concern (PHIEC). 1 As of 17 February 2020, 25 other countries apart from China had been affected with the COVID-19 outbreak. 2 India's first COVID-19 case was detected in the southern state of Kerala on the 27 January 2020. 1 However, it was only in March 2020 that the WHO declared COVID-19 as a global pandemic when there had been close to 100,000 confirmed cases of the virus across the world. ...
... It was on the 31 December 2019 that China informed the World Health Organization (WHO) about cases of pneumonia with unknown aetiology detected in the Wuhan city, Hubei province of China. 1 By 30 January 2020, the WHO declared COVID-19 as a Public Health Emergency of International Concern (PHIEC). 1 As of 17 February 2020, 25 other countries apart from China had been affected with the COVID-19 outbreak. 2 India's first COVID-19 case was detected in the southern state of Kerala on the 27 January 2020. 1 However, it was only in March 2020 that the WHO declared COVID-19 as a global pandemic when there had been close to 100,000 confirmed cases of the virus across the world. ...
... 2 India's first COVID-19 case was detected in the southern state of Kerala on the 27 January 2020. 1 However, it was only in March 2020 that the WHO declared COVID-19 as a global pandemic when there had been close to 100,000 confirmed cases of the virus across the world. ...
Article
Full-text available
This manuscript evaluates India’s emergency measures during the COVID-19 pandemic. Key actions including a nationwide lockdown to curb virus spread and strengthen healthcare infrastructure are thoroughly studied and its effects analysed. Healthcare responses included scaling up testing, medical supplies, and using the “Aarogya Setu” app for contact tracing are briefly looked at to assess effectiveness of the policies implemented by the government.The largest vaccination drive in the world which covered thevast population was no mean feat and worth applauding. Challenges included supply chain disruptions, healthcare disparities, and socio-economic inequalities. Comparisons with global practices highlighted areas for improvement.The evaluation underscores the importance of swift, adaptable, and inclusive policy measures, offering valuable lessons for future pandemic preparedness. The article aims to outline the various measures undertaken by the government and determine the effectiveness of them in controlling the outbreak of COVID-19 in the country.
... SARS-CoV-2 was also found to show higher transmissibility compared to previously reported coronavirus outbreaks, i.e., SARS-CoV (2002) (WHO, 2003) and MERS-CoV (2012) [5]. On 27 January 2020, reports of the first COVID-19 case verified in India came from Kerala [6]. There are documented reports of various viral introductions brought about by international travelers. ...
... Over 1.05 million cases and approximately 10,786 deaths were documented in this region as of 30 October 2023 [16]. Since the initial complete genome of SARS-CoV-2 from Wuhan was reported in early January 2020 [6], millions of whole-genome sequences worldwide have been added to public databases, i.e., GISAID and GENBANK, which have helped in the monitoring of SARS-CoV-2 variants. There has been a lack of genomic representation of SARS-CoV-2 from central India that needs to be addressed. ...
Article
Full-text available
Since the first reported case of COVID-19 in December 2019, several SARS-CoV-2 variants have evolved, and some of them have shown higher transmissibility, becoming the prevalent strains. Genomic epidemiological investigations into strains from different time points, including the early stages of the pandemic, are very crucial for understanding the evolution and transmission patterns. Using whole-genome sequences, our study describes the early landscape of SARS-CoV-2 variants in central India retrospectively (including the first known occurrence of SARS-CoV-2 in Madhya Pradesh). We performed amplicon-based whole-genome sequencing of randomly selected SARS-CoV-2 isolates (n = 38) collected between 2020 and 2022 at state level VRDL, ICMR-NIRTH, Jabalpur, from 11899 RT-qPCR-positive samples. We observed the presence of five lineages, namely B.1, B.1.1, B.1.36.8, B.1.195, and B.6, in 19 genomes from the first wave cases and variants of concern (VOCs) lineages, i.e., B.1.617.2 (Delta) and BA.2.10 (Omicron) in the second wave cases. There was a shift in mutational pattern in the spike protein coding region of SRAS-CoV-2 strains from the second wave in contrast to the first wave. In the first wave of infections, we observed variations in the ORF1Ab region, and with the emergence of Delta lineages, the D614G mutation associated with an increase in infectivity became a prominent change. We have identified five immune escape variants in the S gene, P681R, P681H, L452R, Q57H, and N501Y, in the isolates collected during the second wave. Furthermore, these genomes were compared with 2160 complete genome sequences reported from central India that encompass 109 different SARS-CoV-2 lineages. Among them, VOC lineages Delta (28.93%) and Omicron (56.11%) were circulating predominantly in this region. This study provides useful insights into the genetic diversity of SARS-CoV-2 strains over the initial course of the COVID-19 pandemic in central India.
... Measures taken for social distancing and the impact of the disease on socio-economic status, morbidity, and mortality have proven to be a major burden on millions of people all over the world. 1 India saw its first case in Kerala in late January 2020. 2 India with a total of 430422 active cases as of 16/07//2021 as per the Ministry of Health and Family Welfare, Government of India website. 3 Mortality rates due to the disease have varied from 3% in China to an increase by 145% in some cities in Mexico. ...
Article
Background This study aimed to determine the relationships between hematological parameters- hemoglobin, Total Leucocyte Counts (TLC), platelet counts, Absolute Neutrophil Counts (ANC), Absolute Lymphocyte Counts (ALC), Neutrophil Lymphocyte Ratio (NLR), Systemic Immune Inflammatory Index (SII), Neutrophil Monocyte Ratio (NMR), Platelet Lymphocyte Ratio (PLR) and the severity of COVID-19 disease and their use in predicting severity of COVID-19 disease. Methods and Material This was a prospective, observational, single-center study of 573 symptomatic adult inpatients of COVID 19 admitted to our tertiary care center. Statistical analysis used The above-mentioned hematological parameter levels were noted and compared between the two categories of COVID-19 disease, namely non-severe and severe COVID-19 using logistic regression methods. Their cut-off values were detected using the ROC curve. Results The median TLC, ANC, NLR, SII, NMR, PLR were notably higher in patients with severe COVID-19 than in those with non-severe COVID-19. Logistic regression analysis showed that NMR (OR=1.029, p=0.006) and ALC (OR=0.999, p=0.002) were statistically significant independent predictors of COVID-19 severity. Conclusions The hematological parameters mentioned, can be used for predicting severe COVID-19 disease at admission. ALC and NMR levels could be used as hematological markers to predict severity of COVID-19 in adult patients with their cut off values being < 1105 cells/cubic millimeter and > 10.434 respectively.
... The first case of COVID-19 was reported in India in January 2020 and on 11 March 2020, WHO declared it a pandemic. The overall case fatality rate in India was 1.2%, which was the lowest among the top 20 most affected countries [9]. The Ministry of Health and Family Welfare reported approximately 533,000 deaths related to COVID-19, with no information on mortality in CKD patients on dialysis. ...
Article
Full-text available
The coronavirus disease 2019 (COVID-19) pandemic affected the entire world with unprecedented impact on the health care and economy of countries. India, the most populous country, faced enormous challenges across its diverse population groups. The end-stage renal disease (ESRD) patients on dialysis, especially hemodialysis, were a high-risk group with inevitable regular hospital visits in contrast to the home peritoneal dialysis group. The unplanned lockdown and home confinement posed many risks to dialysis patients due to dialysis unit closures, logistical issues, and severe COVID-19-related morbidities. We have paucity of data on mortality of dialysis patients in India. We describe the reported and available data on COVID-19 in India from across different centers. The vaccination provided by two different pharmaceuticals such as Covaxin and Covishield in a small cohort of dialysis patients reduced infection and severity.
... The country reported its index COVID-19 case in January 2020 in south India. 21 The percentage change below the line represents the percent utilization decrease in the vaccine while above the line represents increased utilization of the vaccine in each phase. The utilization pattern comparison of influenza, PCV and HPV vaccines was found to be more than 100% because zero or minimal utilization of these vaccines happened in the reference year. ...
Article
Full-text available
Background Altered vaccine demands and uneven utilization patterns in childhood immunization are evident nationwide. These variabilities may stem from a range of internal and external factors influencing parental preferences. Regular checks and balances are necessary to ensure equal accessibility for all sections of society. Aim To assess the usage trends of childhood vaccines for 5 years (2018–2022) and to monitor instances of delayed/incomplete immunization status within the community. Methodology This study recorded the utilization trends of all recommended childhood vaccines over a 5-year period using an ambispective design. The immunization details from 3 years (2018, 2019 and 2020) were retrieved retrospectively, while those from 2 years (2021–2022) were collected prospectively through the immunization registry. Trends in childhood vaccine utilization were recorded across different years, and delays and incomplete vaccine utilization among children, along with factors resulting in deviated immunization timelines, were analysed and compared. The association of factors with deviated immunization utilization was determined using the chi-square test, and a two-way ANOVA analysed utilization variabilities over 5 years. Result Overall, the study profiled 32,085 children’s (who utilized 87,782 vaccine doses) vaccine utilization pattern for 5 years. Optional vaccines were less utilized (18.12% doses by 25.14% children) compared to mandatory vaccines (81.88% doses utilized by 74.86%). The most utilized mandatory vaccine was oral polio (17.48%) and for optional vaccines, it was measles mumps rubella (MMR; 28.31%). Boys had the highest utilization (55.97%) with a significant male preponderance in optional vaccine utilization (p value <0.05). Overall, there was a 26.12% decline (percent change) in vaccine utilization in 2022 compared to 2018. Among children with delayed immunization timelines (6.02%), 3.38% were on catch-up, and 2.45% were not. The most commonly delayed vaccines were diphtheria + tetanus + pertussis boosters (30.90%), Tdap (26.19%) and MMR vaccines (20.65%). Influenza vaccines (28.08%) were the most partially utilized optional vaccine, followed by varicella vaccines (20.92%). Factors such as gender (female), age over 1 year, rural residence and low- to middle-income families were significant predictors of deviated immunization status in children. Conclusion The study mapped the utilization trends of immunizations at a tertiary care hospital in south India over the past 5 years, including the COVID-19 years. Gender inequality in the utilization of optional vaccines is a concern that warrants further research and redressal. Timely administration of childhood vaccinations is crucial for reducing susceptibility to vaccine-preventable diseases and promoting overall well-being.
... A notable increase in ICU admissions and deaths occurred from April to November 2020 during the first wave and from March to May 2021 during the second wave. [7,8] This trend was also observed at our institution, a major tertiary care center serving the western Rajasthan population. ...
Article
Full-text available
A BSTRACT Background The coronavirus disease 2019 (COVID-19) pandemic has presented an unprecedented challenge to the global healthcare system, prompting an urgent need to understand the factors influencing patient outcomes. Critical to improving treatment protocols and reducing mortality rates is an in-depth assessment of the clinical profile, laboratory findings, and management strategies employed in treating COVID-19 patients. This research provides valuable insights that could influence future therapeutic approaches and public health strategies, ultimately aiming to reduce the morbidity and mortality associated with COVID-19. The study aimed to assess mortality predictors in patients admitted to the intensive care unit (ICU) due to COVID-19. Methods This study employed a retrospective approach, utilizing patient data from medical records. The collected data encompassed demographic and clinical profiles and details regarding the duration of admission and treatment. The evaluation focused on patients admitted to the ICU for COVID-19 between March 2020 and July 2021, with confirmation through real-time reverse transcriptase polymerase chain reaction (RT-PCR). Rigorous statistical analysis was conducted to compare outcomes between discharged and deceased patients. Results The study included a total of 202 ICU patients admitted for COVID-19. Among the cases, 147 (72.8%) were males and 55 (27.2%) were females. The mean age was 58.42 years, with a standard deviation of 15.59 years. Fever (92%) emerged as the most frequently encountered symptom, followed by cough (48.5%) and dyspnea (35%). Patients with underlying comorbidities exhibited a higher susceptibility to developing a severe or critical disease. Hypertension (n = 38) was identified as the most prevalent comorbidity, followed by type 2 diabetes mellitus (n = 36). Hypertension has demonstrated a significant association with disease outcomes. Body temperature, respiratory rate, oxygen saturation, and mechanical ventilation played substantial roles in patient outcomes. Conclusion The study revealed that underlying comorbidities and complications, such as acute respiratory distress syndrome (ARDS), were linked to significantly higher mortality rates among COVID-19 patients. Abnormal laboratory parameters also exhibited significant differences in the outcomes of ICU patients.
... India reported the first coronavirus disease 2019 (COVID-19) case on 27 January 2020, in the southern state of Kerala. [1] India was one of the worst affected countries in Asia accounting for 182,143 cases, 86,984 recoveries (including one migration) and 5,164 fatalities nationwide till May 2020. [2] The rapidity of the spread coupled with strain on the limited healthcare infrastructure led to various unprecedented measures, such as complete nationwide shutdown which was extended multiple times. ...
Article
Full-text available
A BSTRACT Background Published data demonstrate promising results for rehabilitation in patients with multiple sclerosis (MS), including telerehabilitation technologies. Given the travel limitations during the coronavirus disease 2019 (COVID-19), telerehabilitation may provide a viable alternative to in-person physiotherapy. Objective To determine the efficacy of telerehabilitation in MS patients during COVID-19. Design/Methods A total of 42 patients participated in the study of which 24 were followed up till the end of 6 weeks. The investigated group consisted of 15 females and 09 males; the mean age was 42 ± 10 years. The telerehabilitation was provided for a duration of 6 weeks at a frequency of three classes per week. The patients used either laptops or mobile phones for attending these sessions. The inclusion criteria were a 6-minute walk test (with or without assistance). Motor function was evaluated using the Timed Up and Go (TUG) test and the 30-Second Sit-to-Stand (30STS) test. Patients were required to fill out two questionnaires also: 12-item MS Walking Scale (MSWS) and Modified Fatigue Impact Scale (MFIS). All the patient assessments were made by an independent physiotherapist before and after the intervention. Results There was a statistically significant improvement in motor performance and MFIS and 12-item MSWS. The following results were observed: statistically improved parameters of TUG, 30STS, 12-item MSWS and MFIS. Conclusions Based on the findings, it is reasonable to infer that the use of telemedicine in the rehabilitation of MS patients is very promising.
Book
Full-text available
This book elucidates how Special Interest Tourism (SIT) is reshaping the travel industry by offering tailored experiences to niche interests such as cultural immersion, adventure pursuits, eco-conscious exploration, and health and wellness journeys. By catering to individual preferences, SIT not only enhances the travel experience but also promotes sustainable practices, fostering a harmonious blend of meaningful experiences and responsible tourism. The book offers a comprehensive overview of diverse dimensions of SIT, analyzing its impacts on destinations, communities, and the environment. It also explores future trends in niche tourism and provides insights into best practices for sustainable and responsible special interest tourism. With scholarly papers covering a wide range of topics within Special Interest Tourism (SIT), this compilation serves as an indispensable resource for academics, researchers, and industry professionals seeking to understand and navigate the complexities of SIT.
Article
Background This study aimed to determine the relationships between hematological parameters- hemoglobin, Total Leucocyte Counts (TLC), platelet counts, Absolute Neutrophil Counts (ANC), Absolute Lymphocyte Counts (ALC), Neutrophil Lymphocyte Ratio (NLR), Systemic Immune Inflammatory Index (SII), Neutrophil Monocyte Ratio (NMR), Platelet Lymphocyte Ratio (PLR) and the severity of COVID-19 disease and their use in predicting severity of COVID-19 disease. Methods and Material This was a prospective, observational, single-center study of 573 symptomatic adult inpatients of COVID 19 admitted to our tertiary care center. Statistical analysis used The above-mentioned hematological parameter levels were noted and compared between the two categories of COVID-19 disease, namely non-severe and severe COVID-19 using logistic regression methods. Their cut-off values were detected using the ROC curve. Results The median TLC, ANC, NLR, SII, NMR, PLR were notably higher in patients with severe COVID-19 than in those with non-severe COVID-19. Logistic regression analysis showed that NMR (OR=1.029, p=0.006) and ALC (OR=0.999, p=0.002) were statistically significant independent predictors of COVID-19 severity. Conclusions The hematological parameters mentioned, can be used for predicting severe COVID-19 disease at admission. ALC and NMR levels could be used as hematological markers to predict severity of COVID-19 in adult patients with their cut off values being < 1105 cells/cubic millimeter and > 10.434 respectively.
Article
Full-text available
Importance In December 2019, novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited. Objective To describe the epidemiological and clinical characteristics of NCIP. Design, Setting, and Participants Retrospective, single-center case series of the 138 consecutive hospitalized patients with confirmed NCIP at Zhongnan Hospital of Wuhan University in Wuhan, China, from January 1 to January 28, 2020; final date of follow-up was February 3, 2020. Exposures Documented NCIP. Main Outcomes and Measures Epidemiological, demographic, clinical, laboratory, radiological, and treatment data were collected and analyzed. Outcomes of critically ill patients and noncritically ill patients were compared. Presumed hospital-related transmission was suspected if a cluster of health professionals or hospitalized patients in the same wards became infected and a possible source of infection could be tracked. Results Of 138 hospitalized patients with NCIP, the median age was 56 years (interquartile range, 42-68; range, 22-92 years) and 75 (54.3%) were men. Hospital-associated transmission was suspected as the presumed mechanism of infection for affected health professionals (40 [29%]) and hospitalized patients (17 [12.3%]). Common symptoms included fever (136 [98.6%]), fatigue (96 [69.6%]), and dry cough (82 [59.4%]). Lymphopenia (lymphocyte count, 0.8 × 10⁹/L [interquartile range {IQR}, 0.6-1.1]) occurred in 97 patients (70.3%), prolonged prothrombin time (13.0 seconds [IQR, 12.3-13.7]) in 80 patients (58%), and elevated lactate dehydrogenase (261 U/L [IQR, 182-403]) in 55 patients (39.9%). Chest computed tomographic scans showed bilateral patchy shadows or ground glass opacity in the lungs of all patients. Most patients received antiviral therapy (oseltamivir, 124 [89.9%]), and many received antibacterial therapy (moxifloxacin, 89 [64.4%]; ceftriaxone, 34 [24.6%]; azithromycin, 25 [18.1%]) and glucocorticoid therapy (62 [44.9%]). Thirty-six patients (26.1%) were transferred to the intensive care unit (ICU) because of complications, including acute respiratory distress syndrome (22 [61.1%]), arrhythmia (16 [44.4%]), and shock (11 [30.6%]). The median time from first symptom to dyspnea was 5.0 days, to hospital admission was 7.0 days, and to ARDS was 8.0 days. Patients treated in the ICU (n = 36), compared with patients not treated in the ICU (n = 102), were older (median age, 66 years vs 51 years), were more likely to have underlying comorbidities (26 [72.2%] vs 38 [37.3%]), and were more likely to have dyspnea (23 [63.9%] vs 20 [19.6%]), and anorexia (24 [66.7%] vs 31 [30.4%]). Of the 36 cases in the ICU, 4 (11.1%) received high-flow oxygen therapy, 15 (41.7%) received noninvasive ventilation, and 17 (47.2%) received invasive ventilation (4 were switched to extracorporeal membrane oxygenation). As of February 3, 47 patients (34.1%) were discharged and 6 died (overall mortality, 4.3%), but the remaining patients are still hospitalized. Among those discharged alive (n = 47), the median hospital stay was 10 days (IQR, 7.0-14.0). Conclusions and Relevance In this single-center case series of 138 hospitalized patients with confirmed NCIP in Wuhan, China, presumed hospital-related transmission of 2019-nCoV was suspected in 41% of patients, 26% of patients received ICU care, and mortality was 4.3%.
Pneumonia of unknown cause -China
World Health Organization. Pneumonia of unknown cause -China. Geneva: WHO; January 5, 2020. Available from: https://www.who.int/csr/don/05-january-2020-pneumoniaof-unkown-cause-china/en/, accessed on February 18, 2020.