Literature DB >> 35910696

Characteristics and Management of Children With Suspected COVID-19 Admitted to Hospitals in India: Implications for Future Care.

Santosh Kumar1, Mainul Haque2, Arvind Shetty3, Sumesh Choudhary4, Rohan Bhatt5, Vivek Sinha6, Balaji Manohar7, Kona Chowdhury8, Nadia Nusrat9, Nasim Jahan10, Amanj Kurdi11, Zia Ul Mustafa12, Johanna C Meyer13, Israel A Sefah14, Adnan Abdullah15, Ammar Abdulrahman Jairoun16,17, Brian Godman18,19.   

Abstract

INTRODUCTION: There is a growing focus on researching the management of children with COVID-19 admitted to hospital, especially among developing countries with new variants alongside concerns with the overuse of antibiotics. Patient care can be improved with guidelines, but concerns with the continued imprudent prescribing of antimicrobials, including antibiotics, antivirals, and antimalarials.
OBJECTIVE: Consequently, a need to document the current management of children with COVID-19 across India. Key outcome measures included the percentage of prescribed antimicrobials, adherence to current guidelines, and mortality.
METHODOLOGY: A point prevalence study using specially developed report forms among 30 hospitals in India.
RESULTS: The majority of admitted children were aged between 11 and 18 years (70%) and boys (65.8%). Reasons for admission included respiratory distress, breathing difficulties, and prolonged fever. 75.3% were prescribed antibiotics typically empirically (68.3% overall), with most on the Watch list (76.7%). There were no differences in antibiotic prescribing whether hospitals followed guidelines or not. There was also appreciable prescribing of antimalarials (21.4% of children), antivirals (15.2%), and antiparasitic medicines (27.2%) despite limited evidence. The majority of children (92.2%) made a full recovery.
CONCLUSION: It was encouraging to see low hospitalization rates. However, concerns about high empiric use of antibiotics and high use of antimalarials, antivirals, and antiparasitic medicines exist. These can be addressed by instigating appropriate stewardship programs.
Copyright © 2022, Kumar et al.

Entities:  

Keywords:  antibiotics; antimicrobial stewardship programs; children; covid-19; guidelines; hospitals; india; outcomes

Year:  2022        PMID: 35910696      PMCID: PMC9311229          DOI: 10.7759/cureus.27230

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

India rapidly introduced travel restrictions and other lockdown measures, including increasing the number of testing facilities to try and slow down the spread of COVID-19 and its impact on morbidity and mortality [1]. There was also a growing use of repurposed medicines, including hydroxychloroquine, lopinavir/ritonavir, remdesivir, and ivermectin, across countries, including India, for the prevention and treatment of patients with COVID-19 in the absence of effective vaccines and proven treatments [1-4]. However, there were concerns that some of the initial studies with repurposed medicines were typically small-scale, observational, or open-label and lacked comparator arms, alongside safety concerns [3-6]. Despite this, and based on studies including Chatterjee et al., who demonstrated that hydroxychloroquine (HCQ) significantly reduced the chances of healthcare workers getting COVID-19 [7], the Indian Council of Medical Research (ICMR) under the Ministry of Health and Family Welfare recommended HCQ for prophylaxis against COVID-19 [1,8]. Other recommended treatments included lopinavir and ritonavir [9]. However following the findings from recent studies, in September 2021, ICMR dropped HCQ and ivermectin from its clinical guidelines [10], with the updated clinical guidelines issued in January 2022 only recommending steroids, e.g., dexamethasone, and remdesivir, but only in specific circumstances, from the initially suggested repurposed medicines [11]. Compared with adults, children have a lower infection rate with COVID-19 across countries, including India, with typically milder symptoms [12-14]. Alongside this, an appreciable number have been asymptomatic [13,14]. Typical symptoms of children admitted to hospital with COVID-19 include diarrhea, fever, nausea, and respiratory infections, including coughs, with higher rates typically seen in boys than girls, with biological factors potentially playing a role [13,14]. Typically, approximately 6% to 10% of children with COVID-19 experience severe disease, with rates lower than seen in adults [13,15]. In view of this, the focus among health authorities for children during the early stages of the pandemic has been on the prevention of other infectious diseases, especially as there were concerns with low vaccination rates following lockdown measures and the subsequent impact on future morbidity and mortality [16]. However, there are growing concerns with successive waves of COVID-19 where younger patients are being treated in India and across countries, with increasing mortality seen among younger patients [12,13]. In addition, there are concerns that children are developing Kawasaki disease (KD) like symptoms/multisystem inflammatory syndromes [14,17,18] as well as experiencing hyponatremia, hypoalbuminemia, gastrointestinal changes, leucopenia, and respiratory changes with COVID-19 [14], which potentially increases admissions to intensive care units (ICU). This can be problematic since while a lower percentage of children with severe symptoms are admitted to ICUs among lower- and middle-income countries (LMICs), deaths among these hospitalized children tend to be higher [14,15]. This is reflected by mortality rates from COVID-19 among admitted children reaching 13.3% at Dhaka Shishu (Children’s) Hospital, Bangladesh, at the start of the pandemic; however, lower in later studies [14]. At the pandemic's beginning, high mortality rates (40%) were also seen at Dr. Cipto Mangunkusumo Hospital in Indonesia [19]. There are also increasing concerns about the overuse of antibiotics to treat patients with COVID-19, including children, despite limited evidence of bacterial or fungal co-infections [14,20]. This is exacerbated by the typically empiric administration of antibiotics across countries, especially among LMICs [14], which has the potential to increase antimicrobial resistance (AMR), increasing morbidity, mortality, and costs unless addressed [14,20,21]. Objectives of the study This paper aims to document current prevalence rates, treatment approaches, and outcomes of children admitted to hospitals with suspected COVID-19 across India, building on the findings in our pilot study [22]. The results can be used to provide guidance to improve the management of children with COVID-19 in this and other future pandemics across India and wider. This is important given concerns with rising rates of AMR in India as well as concerns with the impact of the pandemic on lockdown and other measures appreciably impacting the teaching of healthcare professionals (HCPs) about the appropriate management of patients with infectious diseases, including those with COVID-19 [1,22,23].

Materials and methods

Study setting and design The study included a range of hospitals (N=30) across India admitting children with actual or suspected COVID-19. The hospitals were purposely selected based on their ability to provide the requested information as well as provide variation in their geography and size regarding the number of pediatric patients being treated. The study was conducted based on standard point prevalence survey methodologies; however, adapted to meet the specific requirements of this study, building on a similar study in Bangladesh [14,24-26]. Data were gathered from July to November 2021. This included the rationale for admittance to the selected hospitals in the first place as well as subsequent admission to the pediatric intensive care units (PICUs) when needed. Data Collection Tool and Analysis The investigators used a paper-based collection tool in each hospital to collect the necessary patient-level data, similar to the pilot study undertaken in India and the comprehensive study in Bangladesh [14,22]. The rationale for the items contained in the data collection forms is documented in the study in Bangladesh [14]. This included breaking antibiotics prescribed into the World Health Organization (WHO) AWaRe (Access, Watch, and Reserve) classification [14,24,26]. PCR testing was provided by Xpert Xpress SARS CoV-2, Cepheid India Pvt. Ltd. The principal investigator collected the patient-level data in each hospital, with data collection taking place on one specific day, similar to other point prevalence studies (PPS). The data were subsequently entered onto Microsoft Excel® (Microsoft Corp., Redmond, WA, US) for analysis. The Excel menu contained drop-down menus with options for admittance to the hospital and the PICUs to aid analysis, with the menu principally based on the study in Bangladesh [14]. The aggregated data were subsequently transferred to the principal investigators (SK [first author] and BG [last author]) for analysis. There was the ability to re-check and re-validate the data concerning the pertinent hospitals. Descriptive statistics were principally used to summarize the data with proportions. No attempt was made to compare and contrast the hospitals due to likely differences in their admittance criteria. A simple chi-square statistical analysis was used to assess whether there was a significant difference in antimicrobial prescribing rates between those hospitals where the principal investigator stated they did follow national guidance and those that did not, with a p-value <0.05 seen as significant. Similar to the study in Bangladesh and the pilot study in India, medical records could be viewed up to 10 days previously. Ten days were chosen because of the anticipated low numbers of patients with COVID-19 admitted to the participating hospitals on any specific day, with most children generally asymptomatic or with milder symptoms than adults [14,15]. Alongside this, the study's principal objective was to gain a greater understanding of the current management of children with COVID-19 in India to guide future management rather than a robust assessment of the current prevalence rates of hospitalized children. Patient, hospital anonymity, and ethical approval The principal investigator maintained patient anonymity in each hospital throughout the study period, with only anonymized aggregated data forwarded to the principal investigators (SK and BG) for analysis. Additionally, in the final analysis, each hospital was assigned a specific number (1 to 30) to maintain anonymity further. No parents or guardians were approached for consent since this retrospective study was based on data collated from patients’ medical records with no direct contact with children, parents, or guardians. This is in line with previous point prevalence studies undertaken by the co-authors across countries [14,24,26]. The study was conducted according to the guidelines of the Declaration of Helsinki. The co-authors orchestrated ethical approval for their hospitals, building on the initial approval orchestrated by the lead co-author. The ethical approval was obtained from Karnavati School of Dentistry Ethics Committee (KSDEC) A/907, Adalaj-Uvarsad Rd, Gandhinagar, Gujarat 382422, India (Reference No. SK- KSDEC/21-22/Apr/001, Date July 23, 2021).

Results

We will first document the characteristics of the admitted children to the hospital who subsequently had confirmed COVID-19, their gender and ages, and rationale for admittance to the hospital as well as to any PICUs. COVID-19 was typically confirmed via polymerase chain reaction (PCR) testing among all participating hospitals. We will subsequently discuss the current prescribing of antimicrobials among children with COVID-19, including antibiotics, anti-malarial (hydroxychloroquine [HCQ]), antiviral (remdesivir), and antiparasitic medicines (ivermectin), alongside adherence to current guidelines. Finally, documenting the current prescribing of additional therapies, including steroids among admitted children and their outcomes. Patient characteristics Out of the 1,606 children admitted to the 30 participating hospitals during the study period, only 15.1% had COVID-19. The majority of admitted children were aged between 11 and 18 years (70%) and boys (65.8%) (Table 1).
Table 1

Patient characteristics among the participating hospitals during the study period.

NB: Column 2 includes children admitted during the study period and not on any specific day, with column 3 depicting the number with COVID-19 (confirmed via PCR testing)

Hospital Total number of children admitted during the study period Number of children with COVID-19 (no.) % of admitted children with COVID-19 Number of boys (no.) Number of girls (no.) 0 to 5 years of age (no.) 6 to 10 years of age (no.) 11 to 18 years of age(no.)
1 58 9 15.5% 6 3 0 3 6
2 34 7 20.6% 6 1 0 2 5
3 13 1 7.7% 1 0 0 1 0
4 67 10 14.9% 6 4 0 3 7
5 42 6 14.3% 4 2 0 4 2
6 63 15 23.8% 11 4 1 4 10
7 29 3 10.3% 2 1 0 0 3
8 67 13 19.4% 9 4 1 5 7
9 43 6 14.0% 5 1 0 5 1
10 98 22 22.4% 13 9 1 4 17
11 53 6 11.3% 3 3 1 3 2
12 160 20 12.5% 12 8 1 5 14
13 54 7 13.0% 3 4 0 0 7
14 77 11 14.3% 7 4 1 2 8
15 72 7 9.7% 5 2 2 2 3
16 21 3 14.3% 1 2 0 0 3
17 28 3 10.7% 3 0 0 1 2
18 34 6 17.6% 4 2 0 1 5
19 112 16 14.3% 9 7 0 6 10
20 91 14 15.4% 9 5 1 4 9
21 86 13 15.1% 11 2 0 1 12
22 24 3 12.5% 3 0 0 0 3
23 77 11 14.3% 8 3 0 2 9
24 35 6 17.1% 3 3 0 1 5
25 82 10 12.2% 6 4 2 2 6
26 21 3 14.3% 3 0 0 0 3
27 16 3 18.8% 1 2 0 1 2
28 18 4 22.2% 3 1 0 0 4
29 19 3 15.8% 1 2 0 0 3
30 12 2 16.7% 2 0 0 0 2
Summary characteristics 1606 243 15.1% 160 83 11 62 170

Patient characteristics among the participating hospitals during the study period.

NB: Column 2 includes children admitted during the study period and not on any specific day, with column 3 depicting the number with COVID-19 (confirmed via PCR testing) Admission characteristics Most children were admitted with prolonged fever, breathing difficulties, coughing, and respiratory distress (Table 2). 22.2% of admitted children with COVID-19 were subsequently treated in the PICUs, with the majority admitted without ventilation support (72.2%). The principal reasons for admittance to PICUs included severe respiratory distress and low oxygen saturation (Table 2).
Table 2

Rationale for Admission of Children to Hospital with suspected COVID-19 and subsequently to PICU.

NB: CHD = coronary heart disease; HRCT= High-resolution computed tomography; PICUs = pediatric intensive care unit.

HospitalPrimary reasons for hospital admission for children with diagnosed COVID-19Total number of children admitted with COVID-19 to PICUs with the ventilatorTotal number of children admitted with COVID-19 to PICUs without the ventilator% requiring ventilationThe primary reason for admission to PICUsKey underlying co-morbidities (if pertinent)
1Prolonged fever; breathing difficulties, coughing  020Severe respiratory distress/ low O2 saturation, shock.Blood disorders
2Prolonged fever; breathing difficulties/ respiratory distress, coughing, diarrhea  1150%  Severe respiratory distress/ low O2 saturationNone
3Prolonged fever00NANANone
4Prolonged fever, cough diarrhea10100%Respiratory distressNone
5Prolonged fever, severe coughing  010%Severe respiratory distress/ low O2 saturation., shockNone
6Prolonged fever; breathing difficulties/ respiratory distress, coughing, diarrhea, feeding difficulties, vomiting1233.3%  Severe respiratory distress/ low O2 saturation., extensive lung Involvement in HRCTObesity
7Prolonged Fever; Breathing Difficulty/Respiratory Distress; Cough; Diarrhea00NANAObesity
8Prolonged Fever; Breathing Difficulty/Respiratory Distress; Cough2250%Severe Respiratory Distress/ Low O2 Saturation., Coagulation DisordersAsthma
9Prolonged Fever; Breathing Difficulties010%Severe Respiratory Distress/ Low O2 Saturation., ShockImmunosuppression
10Prolonged Fever; Breathing Difficulties/Respiratory Distress; Coughing2433.3%  Severe Respiratory Distress/ Low O2 SaturationThalassemia, Asthma
11Prolonged Fever; Breathing Difficulty/Respiratory Distress; Coughing020%Severe Respiratory Distress/ Low O2 Saturation., Shock., Extensive Lung Involvement in HRCTMalnutrition, CHD
12Prolonged Fever; Breathing Difficulty/Respiratory Distress; Coughing2250%Severe Respiratory Distress/ Low O2 Saturation., ShockAllergies
13Prolonged Fever; Cough; Feeding Difficulties/Vomiting010%Severe Respiratory Distress/ Low O2 SaturationNone
14Prolonged Fever; Breathing Difficulties/Respiratory Distress; Diarrhea1233.3%Severe Respiratory Distress/ Low O2 Saturation., ShockHypertension
15Prolonged Fever; Breathing Difficulties/Respiratory Distress; Coughing1233.3%Severe Respiratory Distress/ Low O2 SaturationComplex cyanotic heart disease, hepatic encephalopathy
16Prolonged Fever; Breathing Difficulties/Respiratory Distress00NANAAsthma, cancer
17Severe breathing difficulties010%Severe Respiratory Distress/ Low O2 Saturation., Shock., Extensive Lung Involvement in HRCTMalnutrition
18Prolonged Fever; Breathing Difficulties/Respiratory Distress; Coughing1150%Severe Respiratory Distress/ Low O2 Saturation., ShockAsthma
19Prolonged Fever; Breathing Difficulties/Respiratory Distress; Feeding Difficulties/Vomiting1233.3%Severe Respiratory Distress/ Low O2 Saturation., Extensive Lung Involvement in HRCTMalnutrition, CHD
20Prolonged Fever; Breathing Difficulties/Respiratory Distress; Cough; Diarrhea030%Severe Respiratory Distress/ Low O2 Saturation., Shock., Coagulation DisordersAsthma
21Prolonged Fever; Breathing Difficulties/Respiratory Distress; Cough; Diarrhea030%Severe Respiratory Distress/ Low O2 Saturation., Extensive Lung Involvement in HRCTNone
22Prolonged fever, severe coughing, respiratory problems000%NANone
23Prolonged Fever; Breathing Difficulties/Respiratory Distress; Coughing1150%Severe Respiratory Distress/ Low O2 Saturation  Thalassemia, malnutrition
24Prolonged high fever010%Severe Respiratory Distress/ Low O2 SaturationLow socio economic and compromised hygiene
25Breathing Difficulties/Respiratory Distress1325%Severe Respiratory Distress/ Low O2 Saturation., ShockPrevious chronic diseases, malnutrition
26Prolonged Fever; Breathing Difficulties/Respiratory Distress; Cough; Diarrhea00NANAAllergic spasms
27Prolonged high fever010%Severe Respiratory Distress/ Low O2 SaturationNone
28Prolonged Fever; Breathing Difficulties/Respiratory Distress; Cough; Diarrhea010%Severe Respiratory Distress/ Low O2 Saturation., Extensive Lung Involvement in HRCTNone
29Respiratory distress; Diarrhea00NANANone
30Prolonged Fever; Breathing Difficulties/Respiratory Distress; Cough; Diarrhea.00NANANone
 Summary of characteristics27.8% admitted with ventilator72.2% admitted w/o a ventilator   

Rationale for Admission of Children to Hospital with suspected COVID-19 and subsequently to PICU.

NB: CHD = coronary heart disease; HRCT= High-resolution computed tomography; PICUs = pediatric intensive care unit. Clinical management including antibiotics The clinical management of children with COVID-19 among the 30 hospitals included appreciable prescribing of antibiotics (75.3% of children with COVID-19), empirically (68.3%) (Table 3). The principal antibiotic prescribed was azithromycin, with antibiotics from the WHO Watch list being prescribed in children in 76.7% of participating hospitals, typically for seven days (53.3% of participating hospitals) from three to 10 days. There was also appreciable prescribing of HCQ (21.4% of children with COVID-19), remdesivir (15.2% of children with COVID-19), and ivermectin (27.2% of children with COVID-19) (Table 3).
Table 3

Use of antimicrobials among children admitted to the participating hospitals in India with COVID-19.

NB: Antibiotics could also be prescribed for underlying co-morbidities; CST = Culture and sensitivity testing.

Hospital Number and % prescribed antibiotics How antibiotics prescribed Antibiotics principally prescribed and AWaRe classification Route of administration Average duration of prescriptions (days) Were children clinically re-assessed Number Rx HCQ (and %) Number Rx remdesivir (and %) Number Rx ivermectin (and %)
1 9 (100%) Empirically Azithromycin (W) IV/ oral 7 Yes 2 (22%) 0 2 (22%)
2 4 (57%) Empirically Azithromycin (W) IV/ oral 7 Yes 1 (14%) 2 (29%) 4 (57%)
3 1 (100%) Empirically Azithromycin (W) Oral 7 Yes 0 (0%) 0 (0%) 1 (100%)
4 10 (100%) Empirically Azithromycin (W) IV 5 Yes 1 (10%) 1 (10%) 3 (30%)
5 4 (67%) Empirically Azithromycin (W) IV 7 Yes 1 (17%) 0 (0%) 0 (0%)
6 15 (100%) Empirically Piperacillin (W) Oral, IV 5 Yes 9 (60%) 1 (7%) 0 (0%)
7 2 (67%) Empirically Azithromycin (W) Oral 5 No 0 (0%) 0 (0%) 0 (0%)
8 10 (75%) Based on CST Azithromycin (W)/ Piperacillin (W) IV/ Oral 7 Yes 2 (15%) 3 (23%) 2 (15%)
9 4 (67%) Empirically Azithromycin (W) IV/ Oral 7 Yes 2 (33%) 1 (17%) 4 (67%)
10 17 (77%) Empirically Azithromycin (W)/ Piperacillin (W) IV/ Oral 7 Yes 3 (14%) 5 (23%) 11 (50%)
11 6 (100%) Empirically Azithromycin (W) IV 10 Yes 0 (0%) 1 (17%) 1 (17%)
12 17 (85%) First empirically then after cultures Amoxicillin (A)/ Azithromycin (W) Oral, IV 7 Yes 4 (20%) 4 (20%) 4 (20%)
13 2 (29%) Empirically Piperacillin (W) IV 7 Yes 2 (29%) 0 (0%) 0 (0%)
14 4 (36%) Based on CST Amikacin (A) IV/ Oral 7 Yes 3(27%) 3 (27%) 4 (36%)
15 5 (71%) Empirically Amikacin (A) IV 7 Yes 1 (14%) 0 (0%) 0 (0%)
16 1 (33%) Empirically Azithromycin (W) Oral 5 Yes 0 (0%) 0 (0%) 0 (0%)
17 2 (67%) Empirically Amoxicillin, amoxicillin-clavulanic (A) Oral 3 Yes 0 (0%) 1 (33%) 1 (33%)
18 4 (67%) Empirically Doxycycline/ Azithromycin (A/ W) Oral, IV 5 Yes 3 (50%) 1 (17%) 3 (50%)
19 10 (63%) Empirically Azithromycin (W) Oral, IV 5 Yes 1 (6%) 3 (19%) 2 (12.5%)
20 7 (50%) Based on CST Amikacin/ Azithromycin (A/W) Oral, IV 7 Yes 3 (21%) 2 (14%) 4 (29%)
21 13 (100%) Based on symptoms Amikacin (A) IV/ oral 5 Yes 3 (23%) 3 (23%) 6 (46%)
22 2 (67%) Based on CST Azithromycin (W) Oral 5 Yes 0 (0%) 0 (0%) 3 (100%)
23 8 (73%) Empirically Meropenem (W) IV, Oral 7 Yes 3 (27%) 2 (18%) 5 (45%)
24 6 (100%) Empirically Azithromycin (W) IV, oral 7 Yes 5 (83%) 1 (17%) 3 (50%)
25 8 (80%) Empirically Meropenem (W) Oral, IV 7 Yes 3 (30%) 1 (10%) 2 (20%)
26 3 (100%) Empirically Azithromycin (W) Oral 5 Yes 0 (0%) 0 (0%) 0 (0%)
27 0 (0%) Based on symptoms Azithromycin (W) Oral, IV 7 Yes 0 (0%) 0 (0%) 0 (0%)
28 4 (100%) Empirically Amoxicillin, amoxicillin-clavulanic (A) IV, oral 5 Yes 0 (0%) 1 (25%) 1 (25%)
29 3 (100%) Empirically Azithromycin (W) Oral 5 Yes 0 (0%) 0 (0%) 0 (0%)
30 2 (100%) Empirically Azithromycin (W) Oral, IV 8 Yes 0 (0%) 0 (0%) 0 (0%)
Summary characteristics 183 (75.3%) 68.3% Empiric 76.7% Watch       21.4% 15.2% 27.2%

Use of antimicrobials among children admitted to the participating hospitals in India with COVID-19.

NB: Antibiotics could also be prescribed for underlying co-morbidities; CST = Culture and sensitivity testing. The length of hospital stays of admitted children varied from four to 15 days among the participating hospitals, with the vast majority of children recovering (92.2%). Adherence to guidelines and other treatments prescribed There was lower antibiotic prescribing to children with COVID-19 (73.4%, 141/192) among clinicians in the participating hospital who stated they were following hospital guidelines (based on national guidelines) compared with those who stated they were not following current guidelines (82.4%, 42/51). However, this was not statistically significant (p=0.189). Typically, admitted children were prescribed steroids, generally dexamethasone, alongside immunomodulators including vitamin C, D, and zinc.

Discussion

We believe this is the first comprehensive study conducted in India documenting the management and outcomes of children hospitalized with COVID-19. The recovery rates (92.2%) mirror those seen in other countries [14,18], with full recovery seen among 80% of participating hospitals. This was appreciably improved compared with the high rates of mortality seen in Bangladesh and Indonesia at the start of the pandemic [14,19]. This may reflect increased knowledge of dealing with multisystem inflammatory syndromes in children as well as updated advice from respected groups, including the WHO and the British Medical Journal [5,14]. However, additional research is needed on this situation before anything can be said with certainty. Overall, only a small number of children were admitted to participating hospitals with COVID-19 from the total number of patients in the pediatric wards (15.1%), mirroring other recent publications [14,27]. Similar to other studies, more boys than girls were admitted with COVID-19 [13,14,27], with most over 11 years of age (Table 1). Respiratory diseases, including coughing as well as fever, were the most frequent reasons for children being admitted to the participating hospitals in India (Table 2), again similar to other studies across countries [14,15,27]. Encouragingly, anti-inflammatory medicines, especially dexamethasone, were being administered to children with COVID-19 in all participating hospitals, along with appreciable prescribing of Vitamin C and D as well as zinc, in line with recommendations [14,22]. However, there were a number of areas of concern. These included the appreciable prescribing of antimicrobials among the admitted children, including antibiotics and antimalarial, antiviral, and antiparasitic medicines. Overall, antibiotics were prescribed to 75.3% of children, mainly from the WHO Watch list (76.7% of participating hospitals) and typically empirically (68.3%). This is similar to the situation in Bangladesh (87.4% of admitted children were prescribed antibiotics), empiric prescribing again [14]. This is a concern as national guidelines in both countries advocate that antibiotics should only be prescribed if there is evidence or strong suspicion of bacterial infections. There is limited evidence of this to date [14,20,22,28]. Alongside this, India already is the largest or one of the largest consumers of antibiotics, with utilization rates and AMR rates continuing to rise [22,29]. Potential ways forward among hospitals in India include instigating antimicrobial stewardship programs (ASPs), which have not been implemented, alongside additional education input with modules surrounding the management of patients with COVID-19 [21,29]. ASPs and educational input have been successful in several low- and middle-income countries (LMICs), including India, improving antimicrobial prescribing [21,29]. Additional targets for quality improvement programs include encouraging greater use of culture and sensitivity testing as well as greater prescribing of Access as opposed to Watch antibiotics [14,21,24,26]. Alongside this, encouraging greater adherence to prescribing guidelines with no significant difference in antimicrobial prescribing rates among children in hospitals where clinicians stated they followed the guidelines versus those that did not. This is because studies have shown that increased adherence to published guidelines reduces unnecessary antimicrobial prescribing, which is important as more becomes known about COVID-19 and effective treatments [21,30]. Other identified areas of concern included high prescribing rates of HCQ, remdesivir, and ivermectin at 21.4%, 15.2%, and 27.2% of patients, respectively. This is despite increasing evidence of limited impact on patient outcomes as well as concerns with their prescribing in current recommendations in India [5,14,22] and contrasts with their very low use in Bangladesh [14]. However, only recently, guidelines in India stopped including HCQ and ivermectin [10]. In view of this, there is an urgent need to increase the teaching of evidence-based medicine approaches in universities in India and continued post-qualification to equip HCPs in the future better to fully appraise evolving evidence especially given the impact of the pandemic on the current education of HCPs [23]. We will be following up on areas of concern in future research projects. Limitations of the study There are a number of limitations to this study. These include the fact that the findings were based on a retrospective review of patients’ records without the ability to question HCPs on their actions, including prescribing antimicrobials, with the inherent limitations of this type of study. We were also constrained by the level of information that could be collected from participating hospitals. We also extended the period for patient data collection as our objective was to collect current data on the management of children with COVID-19 rather than undertaking an epidemiology study. Consequently, our study may have overestimated the prevalence rates seen for children with COVID-19. Despite these limitations, we believe our findings are robust given the number of hospitals that participated in the study.

Conclusions

The low rates of the hospitalization of children with COVID-19 among the participating hospitals in India are encouraging, mirroring the recent findings in other countries, including Bangladesh. However, there was appreciable prescribing of repurposed antimicrobials, including antimalarials, antivirals, and antiparasitic medicines. This is a concern given the recent findings of the WHO Solidarity and the UK recovery studies showing no improved outcomes with these medicines and the possibility of patient harm. This reflects some of the guidance within national guidelines in India during the pandemic, which needs to be addressed going forward. The appreciable prescribing of antibiotics, often empiric, is also a concern even among hospital clinicians who stated they were following current guidelines. Again, this needs to be addressed given rising antibiotic consumption in India and problems with rising AMR. Recommendations There are a number of recommendations emanating from our findings. These include promoting evidence-based medicine in medical and pharmacy schools and continuing post-qualification. In addition, a greater use of culture and sensitivity testing before administering antibiotics, especially in patients with predominantly viral infections, including COVID-19. The instigation of local ASPs, including local antibiograms and monitoring adherence to current guidelines in future point prevalence and other studies, are also vital ways forward in India to improve future antibiotic use. Such activities should also impact rising AMR rates. We will be monitoring such activities in the future.
  21 in total

1.  Chloroquine and Hydroxychloroquine for the Prevention or Treatment of COVID-19 in Africa: Caution for Inappropriate Off-label Use in Healthcare Settings.

Authors:  Pascale M Abena; Eric H Decloedt; Emmanuel Bottieau; Fatima Suleman; Prisca Adejumo; Nadia A Sam-Agudu; Jean-Jacques Muyembe TamFum; Moussa Seydi; Serge P Eholie; Edward J Mills; Oscar Kallay; Alimuddin Zumla; Jean B Nachega
Journal:  Am J Trop Med Hyg       Date:  2020-06       Impact factor: 2.345

2.  Risk factors for PICU admission and death among children and young people hospitalized with COVID-19 and PIMS-TS in England during the first pandemic year.

Authors:  Joseph L Ward; Rachel Harwood; Clare Smith; Simon Kenny; Matthew Clark; Peter J Davis; Elizabeth S Draper; Dougal Hargreaves; Shamez Ladhani; Michael Linney; Karen Luyt; Steve Turner; Elizabeth Whittaker; Lorna K Fraser; Russell M Viner
Journal:  Nat Med       Date:  2021-12-20       Impact factor: 53.440

3.  Multisystem Inflammatory Syndrome of a Neonate From a COVID-19-Infected Mother: A Case Report.

Authors:  Abdul Malek; Mukesh Khadga; Md Nurnobi Zahid; Sanjida Mojib; Reena Debnath; Sheela Khan; Mainul Haque; Brian Godman; Salequl Islam
Journal:  Cureus       Date:  2022-03-10

Review 4.  Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis.

Authors:  Bradley J Langford; Miranda So; Sumit Raybardhan; Valerie Leung; Jean-Paul R Soucy; Duncan Westwood; Nick Daneman; Derek R MacFadden
Journal:  Clin Microbiol Infect       Date:  2021-01-05       Impact factor: 8.067

5.  Healthcare workers & SARS-CoV-2 infection in India: A case-control investigation in the time of COVID-19.

Authors:  Pranab Chatterjee; Tanu Anand; Kh Jitenkumar Singh; Reeta Rasaily; Ravinder Singh; Santasabuj Das; Harpreet Singh; Ira Praharaj; Raman R Gangakhedkar; Balram Bhargava; Samiran Panda
Journal:  Indian J Med Res       Date:  2020-05       Impact factor: 2.375

6.  Mortality in children with COVID-19: Lessons learned from a tertiary referral hospital in Indonesia.

Authors:  Rismala Dewi; Nastiti Kaswandani; Mulya Rahma Karyanti; Darmawan Budi Setyant; Antonius Hocky Pudjiadi; Aryono Hendarto; Mulyadi M Djer; Ari Prayitno; Irene Yuniar; Wahyuni Indawati; Yogi Prawira; Setyo Handryastuti; Hikari Ambara Sjakti; Eka Laksmi Hidayati; Dina Muktiarti; Amanda Soebadi; Niken Wahyu Puspaningtyas; Riski Muhaimin; Anisa Rahmadhany; Gilbert Sterling Octavius; Henny Adriani Puspitasari; Madeleine Ramdhani Jasin; Tartila Tartila; Nina Dwi Putri
Journal:  Int J Infect Dis       Date:  2021-04-12       Impact factor: 3.623

7.  The Impact of the COVID-19 Pandemic on Immunization Campaigns and Programs: A Systematic Review.

Authors:  Zohra S Lassi; Rabia Naseem; Rehana A Salam; Faareha Siddiqui; Jai K Das
Journal:  Int J Environ Res Public Health       Date:  2021-01-22       Impact factor: 3.390

8.  A point prevalence survey of antimicrobial utilisation patterns and quality indices amongst hospitals in South Africa; findings and implications.

Authors:  P P Skosana; N Schellack; B Godman; A Kurdi; M Bennie; D Kruger; J C Meyer
Journal:  Expert Rev Anti Infect Ther       Date:  2021-05-02       Impact factor: 5.091

Review 9.  Strategies to Improve Antimicrobial Utilization with a Special Focus on Developing Countries.

Authors:  Brian Godman; Abiodun Egwuenu; Mainul Haque; Oliver Ombeva Malande; Natalie Schellack; Santosh Kumar; Zikria Saleem; Jacqueline Sneddon; Iris Hoxha; Salequl Islam; Julius Mwita; Renata Cristina Rezende Macedo do Nascimento; Isabella Piassi Dias Godói; Loveline Lum Niba; Adefolarin A Amu; Joseph Acolatse; Robert Incoom; Israel Abebrese Sefah; Sylvia Opanga; Amanj Kurdi; Ibrahim Chikowe; Felix Khuluza; Dan Kibuule; Olayinka O Ogunleye; Adesola Olalekan; Vanda Markovic-Pekovic; Johanna C Meyer; Abubakr Alfadl; Thuy Nguyen Thi Phuong; Aubrey C Kalungia; Stephen Campbell; Alice Pisana; Janney Wale; R Andrew Seaton
Journal:  Life (Basel)       Date:  2021-06-07

10.  Utilisation, Availability and Price Changes of Medicines and Protection Equipment for COVID-19 Among Selected Regions in India: Findings and Implications.

Authors:  Mainul Haque; Santosh Kumar; Jaykaran Charan; Rohan Bhatt; Salequl Islam; Siddhartha Dutta; Jha Pallavi Abhayanand; Yesh Sharma; Israel Sefah; Amanj Kurdi; Janney Wale; Brian Godman
Journal:  Front Pharmacol       Date:  2021-01-14       Impact factor: 5.810

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