Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 7 de 7
Filter
1.
The Lancet regional health Southeast Asia ; 2023.
Article in English | EuropePMC | ID: covidwho-2247740

ABSTRACT

Background We aimed to explore the epidemiological, clinical, and phenotypic parameters of pediatric patients hospitalized with COVID-19 in Pakistan. Methods This longitudinal cohort study was conducted in five tertiary care hospitals in Pakistan from March 2020-December 2021. Data on various epidemiological and clinical variables were collected using Case Report Forms (CRFs) adapted from the WHO COVID-19 clinical data platform at baseline and at monthly follow-ups for 3 months. Findings A total of 1,090 children were included. The median age was 5 years (Interquartile range 1-10), and the majority presented due to new signs/symptoms associated with COVID-19 (57.8%;n=631), the most common being general and respiratory symptoms. Comorbidities were present in 417 (38.3%) children. Acute COVID-19 alone was found in 932 (85.5%) children, 81 (7.4%) had multisystem inflammatory syndrome (MIS-C), 77 (7.0%) had overlapping features of acute COVID-19 and MIS-C, and severe disease was found in 775/1,086 (71.4%). Steroids were given to 351 (32.2%) patients while 77 (7.1%) children received intravenous immunoglobulins. Intensive care unit (ICU) care was required in 334 (31.6%) patients, and 203 (18.3%) deaths were reported during the study period. The largest spike in cases and mortality was from July-September 2021 when the Delta variant first emerged. During the first and second follow-ups, 37 and 10 children expired respectively, and medical care after discharge was required in 204 (25.4%), 94 (16.6%), and 70 (13.7%) children respectively during each monthly follow-up. Interpretation Our study highlights that acute COVID-19 was the major phenotype associated with high severity and mortality in children in Pakistan in contrast to what has been observed globally. Funding The study was supported by the World Health Organization (WHO), which was involved in the study design but played no role in its analysis, writeup, or publication.

2.
Cardiol Young ; : 1-9, 2022 Mar 24.
Article in English | MEDLINE | ID: covidwho-2250717

ABSTRACT

OBJECTIVES: We aim to describe the early and upto 16 months follow-up of post-coronavirus disease (COVID), multi-system inflammatory syndrome in children (MIS-C), with special reference to cardiac involvement. STUDY DESIGN: This cohort non-interventional descriptive study included patients <18 years admitted between May, 2020 and April, 2021. Based on underlying similarities, children were classified as post-COVID MIS-C with overlapping Kawasaki Disease, MIS-C with no overlapping Kawasaki Disease, and MIS-C with shock. Post-discharge, patients were followed at 1, 3, 6, 12, and 16 months. RESULTS: Forty-one patients predominantly males (73%), at median age of 7 years (range 0.2-16 years) fulfilled the World Health Organisation criteria for MIS-C. Cardiac involvement was seen in 15 (36.5%); impaired left ventricle (LV) function in 5 (12.2%), coronary artery involvement in 10 (24.4%), pericardial effusion in 6 (14.6%) patients, and no arrhythmias. There were two hospital deaths (4.9%), both in MIS-C shock subgroup (2/10, 20%). At 1 month, there was persistent LV dysfunction in 2/5, coronary artery abnormalities in 7/10, and pericardial effusion resolved completely in all patients. By 6 months, LV function returned to normal in all but coronary abnormalities persisted in two patients. At last follow-up (median 9.8 months, interquartile range 2-16 months), in 36/38 (94.7%) patients, coronary artery dilatation was persistent in 2 (20%) patients. CONCLUSIONS: Children with MIS-C have a good early outcome, though MIS-C with shock can be life-threatening subgroup in a resource-constrained country setting. On midterm follow-up, there is normalisation of LV function in all and recovery of coronary abnormalities in 80% of patients.

3.
Lancet Reg Health Southeast Asia ; 11: 100176, 2023 Apr.
Article in English | MEDLINE | ID: covidwho-2247741

ABSTRACT

Background: We aimed to explore the epidemiological, clinical, and phenotypic parameters of pediatric patients hospitalized with COVID-19 in Pakistan. Methods: This longitudinal cohort study was conducted in five tertiary care hospitals in Pakistan from March 2020 to December 2021. Data on various epidemiological and clinical variables were collected using Case Report Forms (CRFs) adapted from the WHO COVID-19 clinical data platform at baseline and at monthly follow-ups for 3 months. Findings: A total of 1090 children were included. The median age was 5 years (Interquartile range 1-10), and the majority presented due to new signs/symptoms associated with COVID-19 (57.8%; n = 631), the most common being general and respiratory symptoms. Comorbidities were present in 417 (38.3%) children. Acute COVID-19 alone was found in 932 (85.5%) children, 81 (7.4%) had multisystem inflammatory syndrome (MIS-C), 77 (7.0%) had overlapping features of acute COVID-19 and MIS-C, and severe disease was found in 775/1086 (71.4%). Steroids were given to 351 (32.2%) patients while 77 (7.1%) children received intravenous immunoglobulins. Intensive care unit (ICU) care was required in 334 (31.6%) patients, and 203 (18.3%) deaths were reported during the study period. The largest spike in cases and mortality was from July to September 2021 when the Delta variant first emerged. During the first and second follow-ups, 37 and 10 children expired respectively, and medical care after discharge was required in 204 (25.4%), 94 (16.6%), and 70 (13.7%) children respectively during each monthly follow-up. Interpretation: Our study highlights that acute COVID-19 was the major phenotype associated with high severity and mortality in children in Pakistan in contrast to what has been observed globally. Funding: The study was supported by the World Health Organization (WHO), which was involved in the study design but played no role in its analysis, writeup, or publication.

4.
IEEE Access ; 10: 87168-87181, 2022.
Article in English | MEDLINE | ID: covidwho-2097585

ABSTRACT

To date, the novel Coronavirus (SARS-CoV-2) has infected millions and has caused the deaths of thousands of people around the world. At the moment, five antibodies, two from China, two from the U.S., and one from the UK, have already been widely utilized and numerous vaccines are under the trail process. In order to reach herd immunity, around 70% of the population would need to be inoculated. It may take several years to hinder the spread of SARS-CoV-2. Governments and concerned authorities have taken stringent measurements such as enforcing partial, complete, or smart lockdowns, building temporary medical facilities, advocating social distancing, and mandating masks in public as well as setting up awareness campaigns. Furthermore, there have been massive efforts in various research areas and a wide variety of tools, technologies and techniques have been explored and developed to combat the war against this pandemic. Interestingly, machine learning (ML) algorithms and internet of Things (IoTs) technology are the pioneers in this race. Up till now, several real-time and intelligent IoT-based COVID-19 diagnosing, and monitoring systems have been proposed to tackle the pandemic. In this article we have analyzed a wide range of IoTs technologies which can be used in diagnosing and monitoring the infected individuals and hotspot areas. Furthermore, we identify the challenges and also provide our vision about the future research on COVID-19.

5.
J Coll Physicians Surg Pak ; 31(1): S57-S59, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-1667995

ABSTRACT

The objective of this study was to find out the association of ABO blood groups with the severity and outcome of corona virus disease 2019 (COVID-19) in children. It included all laboratory-confirmed cases of COVID-19 and post-COVID multisystem inflammatory syndrome in children (MIS-C)/ Kawasaki disease (KD) like illness, admitted from March to September, 2020 to The Children's Hospital, Lahore. Out of 66 children, 45 (68.2%) were COVID-19 and 21 (31.8%) MIS-C/KD temporally associated with SARS-C0V-2. The mean age was 7.9 ± 4.2 years. Majority of children had mild to moderate illness 38 (57.6%), while 23 (34.8%) had severe or critical disease. Among all patients, 24 (36.4%) had some underlying comorbidity. Blood group A was significantly associated with severe and critical disease (p=0.030). COVID-19 in children had generally a good outcome, but children with blood group A were more susceptible to severe/critical disease. Key Words: Coronavirus disease 2019, ABO blood groups, Children, Severity, Outcome.


Subject(s)
Blood Group Antigens , COVID-19 , Child , Child, Preschool , Humans , SARS-CoV-2 , Systemic Inflammatory Response Syndrome
6.
J Coll Physicians Surg Pak ; 30(1): S57-S59, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-1112954

ABSTRACT

The objective of this study was to find out the association of ABO blood groups with the severity and outcome of corona virus disease 2019 (COVID-19) in children. It included all laboratory-confirmed cases of COVID-19 and post-COVID multisystem inflammatory syndrome in children (MIS-C)/ Kawasaki disease (KD) like illness, admitted from March to September, 2020 to The Children's Hospital, Lahore. Out of 66 children, 45 (68.2%) were COVID-19 and 21 (31.8%) MIS-C/KD temporally associated with SARS-C0V-2. The mean age was 7.9 ± 4.2 years. Majority of children had mild to moderate illness 38 (57.6%), while 23 (34.8%) had severe or critical disease. Among all patients, 24 (36.4%) had some underlying comorbidity. Blood group A was significantly associated with severe and critical disease (p=0.030). COVID-19 in children had generally a good outcome, but children with blood group A were more susceptible to severe/critical disease. Key Words: Coronavirus disease 2019, ABO blood groups, Children, Severity, Outcome.


Subject(s)
Blood Group Antigens , COVID-19/diagnosis , Pandemics , SARS-CoV-2 , COVID-19/blood , COVID-19/epidemiology , Child , Comorbidity , Humans
SELECTION OF CITATIONS
SEARCH DETAIL