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Abstract

Background:

The main objective of the present systematic review is to identify potential risk factors for adverse drug reactions (ADRs) through prospective cohort studies in pediatric inpatients.

Methods:

The data search was done in the following electronic databases PubMed/MEDLINE; Scopus; LILACS and Web of Science from the earliest record until 31 May 2015. Two reviewers independently screened each study and one of them assessed the methodological quality according to the Newcastle–Ottawa scale for cohort studies. The data extraction was conducted according to Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative for cohort studies.

Results:

The only risk factor observed in all studies was the increase in the number of prescription drugs. However, other factors were identified, such as the increase in the length of stay or the number of low- or high-risk drugs prescribed, use of general anesthesia and oncological diagnosis. The cumulative incidence of ADR was 16.4% (95% confidence interval: 15.6 to 17.2). The main professional responsible for ADR identification was the pharmacist and the dominant category among the ADRs were gastrointestinal disorders. In addition, analgesics, antibacterial agents and corticosteroids were the drug classes commonly associated with ADRs. The methodology used in this study was tried to homogenize the data extracted; however, this was not sufficient to correct the discrepancies so it was not possible to perform a meta-analysis.

Conclusions:

The increase in the number of prescription drugs was the main risk factor in this population. However, additional studies are required to identify the risk factors for ADRs in pediatric inpatients.

Keywords

child cohort studies drug-related side effects and adverse reactions hospitals risk factors

Introduction

Adverse drug reactions (ADRs) are a public health problem, especially for pediatric inpatients. Therefore, the subject has become a study object in research and prevention programs worldwide.^1–4 The World Health Organization (WHO) defines ADR as ‘a response to a drug that is noxious and unintended, and which occurs at doses normally used in man’.⁵ Thus, immune reactions, toxic effects, and abstinence symptoms are classic examples of ADRs.

When compared with adults, children respond differently to drugs. This is due to the immaturity of the immune system and the developmental pharmacology.^6,7 In addition, the off-label use of drugs and the communication barriers between children and adults both potentiate the ADR risk in pediatric inpatients.^8,9

Studies involving children and ADRs have been the subject of discussion in the scientific community. However, the different methodologies and the absence of systematic reviews or meta-analyses limit the understanding of risk factors for ADRs in pediatric inpatients.² In addition, there are no systematic reviews assessing the quality of studies by means of validated instruments.

Thus, the identification of risk factors for ADRs can contribute to the clinical practice of health providers and programs of ADR prevention in children.¹⁰ This systematic review aimed to identify the risk factors for ADRs in pediatric inpatients in cohort studies.

Method

This systematic review of prospective cohort studies was conducted between June and December 2015, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA; Supplemental Table 9) guidelines.¹¹ During the search, we used a review protocol, not available for access, written according to the PRISMA protocol guidelines.¹²

Eligibility criteria

Eligibility criteria are outlined in Table 1. Prospective cohort studies were included, with assessment of the risk factors for ADRs in children during hospital stay.

Table 1.

Eligibility criteria.

Included studies	Criteria	Reasons
Population	Children aged under 18 admitted to the hospital	Absence of studies in this population
Exposure	Administration of any drug via any routes	n/a
Outcomes	Clinical event described as an adverse drug reaction or nonpreventable adverse drug event, occurring during hospitalization	n/a
Study design	Prospective cohort	Observational studies with higher level of evidence
Other criteria	Studies in English, Spanish and Portuguese, with an open access summary	n/a
Excluded studies	Criteria	Reasons
	Studies that included outpatients	Outpatients have different characteristics to inpatients. The inclusion of these studies could influence the identification of risk factors for ADR in the hospital setting, implying biases. Among these characteristics, we can cite the lower number of prescribed drugs, the use of little or no injectable drug, the predominant use of low-risk drugs and the use of drugs that were previously prescribed and evaluated during hospitalization
	Studies related to a specific:(a) Drug (e.g. ifosfamide, carboplatin, ketamine, methotrexate);(b) Drug class (e.g. opiates);(c) Clinical condition (e.g. cancer patients, infants);(d) Adverse drug reaction	Studies like these could cause ADR incidence variation and would not be representative of the hospitalized pediatric population

ADR, Adverse Drug reaction; n/a, not applicable.

Search strategy

The electronic databases used were PubMed/MEDLINE; Scopus; LILACS and Web of Science. The main keywords used for the search were: ‘Child’, concerning the population; ‘Hospitals’, study setting; ‘Risk Factors’, exposure; ‘Drug-Related Side Effects and Adverse Reactions’, outcome; ‘Cohort Studies’, study type. To expand the search, we incorporated not only the indexed terms, but also its synonyms and subcategories (Supplemental Information Table 6).

Study selection

The study titles were grouped by databases in Microsoft Excel spreadsheets (Microsoft Corporation, Redmond, Washington). Two reviewers independently screened the titles, abstracts, and full-text reports to confirm for eligibility. Three categories were used in selecting the title and abstract: ‘yes’, ‘no’ and ‘maybe’. In the case of doubts (‘maybe’ category), the study was selected for evaluation of the full text, at this stage, disagreements were resolved by consensus between the two reviewers. One author (PHSA) screened the bibliographies of the included studies and reassessed the study selection for recovering articles missed in the original search (Supplemental Information Figure 2).

Data collection

The collected data was classified according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative for cohort studies, also in Microsoft Excel. The STROBE compliance level was analyzed by one of the reviewers (PHSA) based on the report by Vandenbroucke et al.¹³ The suspected drug classes were categorized according to the Anatomical Therapeutic Chemical, and the ADRs according to Adverse Reaction Terminology, both from the WHO.

Quality evaluation of included studies

To decrease the risk of methodological biases, one of the reviewers (PHSA) estimated the quality of manuscripts according to the Newcastle–Ottawa scale for cohort studies¹⁴ and included in the quantitative summary only the studies over six stars.

Statistical analysis

Calculation of incidence of adverse drug reactions

Some of the included studies did not present the calculation of incidence of ADR and its confidence interval of 95%. Therefore, the ADR incidence and its confidence interval of 95% of these studies were calculated in the present systematic review. In the numerator, we used the patient number with ADRs and in the denominator, we used the patient number in the studies.

Adapted Forest graphic

The incidences were illustrated in Microsoft Excel by a graph similar to Forest. Instead of the odds ratio, we plotted the incidence measures in order to facilitate the visualization of these estimates.

Results

The characteristics of the included studies were outlined in Supplemental Information, Table 7 and 8.

Qualitative summary

Included studies

Seven studies were performed between 1999 and 2014 and included in the qualitative analysis.^15–21 Among these publications, two included the ADRs between the drug-related problems (DRPs), defined by them as ‘an event or circumstance involving drug therapy that actually or potentially interferes with desired health outcomes’.^17,21 In addition, another five studies used the same concept of this study,^{15,16,18–20} although one of them used another conceptual aspect: nonpreventable adverse drug events.²⁰ While the compliance level to STROBE, studies reached an average of 74.01% (range: 51.5–87.8%) (Supplemental Information Table 8).

Assessment of the methodological quality of the included studies

Only one study had its quality below six stars, thus was excluded from the quantitative summary¹⁵ (Supplemental Information Table 8). In relation to the selected item, one of the studies had no representative population of the pediatric community, since it was conducted in only one ward of a single public hospital and did not include intensive care unit (ICU) patients.¹⁶ At the same time, only one study did not describe if the data collection was realized by medical records, physical examination or structured interview.¹⁵ Furthermore, five studies did not describe the absence of the outcome before the study started.^{15–17,19,21} In relation to the outcomes, three publications did not describe the losses during follow up or did not report the inclusion and monitoring of the population.^15,17,21 In addition, one of them used the spontaneous reporting with subsequent assessment of medical records to event confirmation.¹⁵

Study design

Three studies were multicenter and developed from the collaboration between the United Kingdom, Australia, Germany, China, Malaysia and Saudi Arabia, and were realized in 4 months (Supplemental Information Table 7 and 8).^17,18,21 The other four studies were developed in 3–12 months and were performed in a single research center in Brazil^16,20 or the United Kingdom.^15,19 Five studies were conducted under the guidance of researchers from the United Kingdom.^{15,17–19,21} In addition, the only research dedicated exclusively to the ICU was the Brazilian study.²⁰

Persons involved in adverse drug reaction identification

Five studies reported that the pharmacist was the professional responsible for ADR identification.^16–19,21 Two studies included pediatricians^18,19 and one included one nurse.¹⁹ Moreover, one study included a pediatrician as a second evaluator in the preventability assessment²¹ and another included a pediatrician in the ADR reassessment.¹⁵ Finally, one study did not describe the professional responsible.²⁰

Methods for adverse drug reaction identification

Only one study used spontaneous reporting as an ADR identification method and did not use the medical record as a method.¹⁵ In general, the method used by the researchers included the assessment of (i) medical and nursing record; (ii) prescription and (iii) laboratory tests. In addition, one study included a structured interview method¹⁶ and another included an active search method based on triggers.²⁰

Quantitative summary

In all results presenting this analysis, we excluded the study of Turner and collaborators¹⁵ for not having the expected quality level. Studies with incomplete data were excluded in each analysis.

Adverse drug reactions incidence

The ADR incidence varied from 2.7% to 35.1% (median 15.5%; interquartile interval 1–3, 9.5–17.4%]. If the included studies represented a single multicenter study, the cumulative incidence would be 16.4% (1281/7803, confidence interval 95%, 15.6 to 17.2) (Figure 1, Supplemental Information Table 8). It is also noteworthy that despite the attempt to homogenize the values, some work characteristics did not allow homogenization. The study site was one of the characteristics observed, for example. Only one study was conducted exclusively in the ICU.²⁰ In addition, one study included only ‘defined’ and ‘probable’ ADRs, according to the algorithm by Naranjo,¹⁹ and five studies included not only the ‘defined’ and ‘probable’ ADRs, but also the ‘possible’ ADRs.^{16–18,20,21}

Figure 1.

Incidences of the adverse drug reactions.

Related adverse drug reactions

All studies that used the same ADR concept of this review described the collected ADRs.^16,18–20 However, one of them did not inform all the involved ADRs, so was not included in the analysis.¹⁶ Also, the two studies that used the concept of DRPs were not included.^17,21 Based on the foregoing, the highlighted disorders were: (i) gastrointestinal; (ii) skin and appendages; (iii) metabolic and nutritional (Table 2).

Table 2.

Adverse drug reactions, according to the Adverse Reaction Terminology–World Health Organization (WHO–ART).

System, organ	WHO–ART	Thiesen et al.¹⁹		Rashed et al.¹⁸		Silva et al.²⁰		Total
System, organ	WHO–ART	n ₁	n₁/1457^* (%)	n ₂	n₂/328 (%)	n ₃	n₃/110 (%)	n	n/1895 (%)	CI, 95%
Gastrointestinal disorders	0600	659	45.2	118	36.0	2	1.8	779	41.1	38.8–43.5
Skin and appendage disorders	0100	274	18.8	43	13.1	11	10.0	328	17.3	15.5–19.1
Metabolic and nutritional disorders	0800	37	2.5	30	9.1	57	51.8	124	6.5	5.4–7.7
Cardiovascular disorders	1000	33	2.3	50	15.2	16	14.5	99	5.2	4.2–6.3
Psychiatric disorders	0500	50	3.4	15	4.6	0	0.0	65	3.4	2.6–4.3
Respiratory disorders	1100	44	3.0	10	3.0	7	6.4	61	3.2	2.4–4.1
Immune disorders and infections	1830	51	3.5	7	2.1	1	0.9	59	3.1	2.3–3.9
Urinary tract disorders	1300	40	2.7	3	0.9	3	2.7	46	2.4	1.7–3.2
Blood disorders	1200	13	0.9	15	4.6	4	3.6	32	1.7	1.1–2.3
Liver and biliary disorders	0700	18	1.2	8	2.4	4	3.6	30	1.6	1.0–2.2
Neurological disorders	0400	15	1.0	10	3.0	2	1.8	27	1.4	0.9–2.0
Body as a whole, general disorders	1810	10	0.7	9	2.7	0	0.0	19	1.0	0.5–1.5
Vascular, bleeding and clotting disorders	1040	0	0.0	6	1.8	3	2.7	9	0.5	0.1–0.8
Vision disorders	0431	0	0.0	2	0.6	0	0.0	2	0.1	0.0–0.3
Endocrine disorders	0900	0	0.0	1	0.3	0	0.0	1	0.1	0.0–0.2
Reproductive disorders	1400	0	0.0	1	0.3	0	0.0	1	0.1	0.0–0.2
Other reactions	–	213	14.6	0	0.0	0	0.0	213	11.2	9.7–12.7

CI, confidence interval; ‘n’: sum of ‘n₁’, ‘n₂’ and ‘n₃’.

The described value, 1457, which represents the sum of all n₁ values, does not match the adverse drug reactions total number, definite and probable, described in the study (1446); however, this error occurred in the publication and therefore, the result presented was kept.

Suspected drug classes involved in adverse drug reactions

Among the four studies, that used the same ADR concept of this review,^16,18–20 two of them described the suspected drugs involved in the ADRs (Table 3).^19,20 One study showed the suspected drug classes, without describing the incidence.¹⁶ Another study neither described the suspected drug nor the involved drug classes.¹⁸ Therefore, it was not included in Table 3. Similarly, the two studies that used the concept of DRPs were not included,^17,21 in order to maintain the consistency of the results. Based on the foregoing, the main drug classes highlighted in the two studies were analgesics (N02), antibacterials for systemic use (J01), corticosteroids for systemic use (H02), drugs for obstructive airway diseases (R03), and diuretics (C03). It is noteworthy that in these studies, the drug numbers are greater than the ADR number.

Table 3.

Suspected drug classes involved in adverse drug reactions, according to the Anatomical Therapeutic Chemical–World Health Organization (WHO–ATC).

Thiesen et al.¹⁹
ATC level	WHO–ATC	n	n/3022 (%)
Anesthetics	N01	957	31.67
Analgesics	N02	707	23.40
Antineoplastic agents	L01	384	12.71
Antibacterials for systemic use	J01	307	10.16
Cough and cold preparations^*	R05	144	4.77
Corticosteroids for systemic use	H02	61	2.02
Drugs for obstructive airway diseases	R03	58	1.92
Antiemetics and antinauseants	A04	51	1.69
Psycholeptics	N05	42	1.39
Diuretics	C03	41	1.36
Others	–	270	8.93
Silva et al.²⁰
ATC level	WHO–ATC	n	n/165 (%)
Antibacterials for systemic use	J01	41	24.85
Diuretics	C03	24	14.55
Antiepileptics	N03	23	13.94
Analgesics	N02	17^$	10.30
Corticosteroids for systemic use	H02	18	10.91
Antihypertensives	C02	9	5.45
Drugs for obstructive airway diseases	R03	8	4.85
Drugs for acid-related disorders	A02	3	1.82
Immunosuppressants	L04	4	2.42
Cardiac therapy	C01	5	3.03
Others	–	18	10.91

This item corresponds only to codeine, classified by the WHO–ATC as ‘cough and cold preparations’, but classified as an analgesic by the study.

Sum of analgesics and sedatives, according to the authors.

Risk factors

Despite using the prospective cohort method, no study applied the relative risk calculation; instead, the hazard ratio and odds ratio were used. It is worth pointing out that one study described relative risk values wrongly, since the reported values were the result of the odds ratio calculation.¹⁶

The absence of descriptive measures, grouped by exposed and unexposed, during the odds ratio calculation was observed in all manuscripts. This made impossible the calculation of relative risk and metaregression. Moreover, authors of one study observed the absence of confidence intervals in the factors without imminent risk.²⁰

Finally, the statistic calculations for risk factor detection varied. Studies used odds ratio,^{16–18,20,21} hazard ratio¹⁹ and slope coefficient²⁰ as well as univariate,^16–19,21 bivariate¹⁹ or multivariate analysis^16–21.

Adverse drug reactions

Four publications were included in this evaluation.^16,18–20 Interpretation of results in one of the studies was difficult since the data were not shown in tables or graphs. In this case, a combination of analyses between age and number of drugs was not fully understood. Furthermore, the presentation of abbreviations without definition, such as ‘R2’, further hampered data interpretation.²⁰ Due to the heterogeneity of the statistical analysis and data presentation, as well as the different age groups (0–16 years, 0–18 years or no description) and reference values used in the uni- or multivariate analysis, it was not possible to perform a further analysis. For example, in some publications the odds ratio calculation was employed as a reference for either the female gender^17,18,21 or the male gender.^16,19,20 Therefore, the only statistically significant variable in all publications was the increase in the number of prescription drugs, sometimes associated with a number greater than five drugs (Table 4). Nevertheless, one of the studies used no drug administration as a benchmark in the univariate and multivariate analysis.¹⁸ At this point, the author compared a risk zero variable with another that had imminent risk.

Table 4.

Risk factors associated with adverse drug reactions or nonpreventable adverse drug events.

Risk factor	Rashed et al.¹⁸	Thiesen et al.¹⁹	Silva et al.²⁰	Dos Santos and Coelho¹⁶
	Multivariate analysis	Multivariate analysis	Bivariate/multivariate analysis	Multivariate analysis
	(OR; CI 95%; p)	(HR; CI 95%; p)	(OR; CI 95%; p)	(OR; CI 95%; p)
Age	11–18-years old(2.1; 1.1–3.8; 0.02)	Increasing age(1.06; 1.04–1.07; <0.001)	<48 months(2.1; 1.19–3.72; 0.01)	–
Gender	–	–	–	Male(2.83; 1.19–6.73; <0.05)
Prescription drugs	Number of low-risk drugs prescribed (≥1)(2.3; 1.4–4.0; 0.002)	Increase in the number of prescription drugs(1.25; 1.22–1.28; <0.001)	Increase in the number of prescription drugs (≥5)^* (2.19; 1.14–4.20, 0.01)	Number of drugs administered (6–10)(7.45; 1.88–29.65; <0.001)
	Number of low-risk drugs prescribed (5–10)(4.7; 2.4–9.3; <0.001)	Received a GA(6.38; 5.30–7.68; <0.001)		Number of drugs administered (≥11)(20.33; 3.57–115.73; <0.05)
	Number of low-risk drugs prescribed (>10)(11.5; 3.6–36.3; <0.001)	–	–	–
	Number of high-risk drugs prescribed (≥2)(2.4; 1.0–5.6; 0.04)	–	–	–
	Number of high-risk drugs prescribed (>3)(6.5; 2.7–16.0; <0.001)	–	–	–
Length of stay	–	–	Increase in length of stay^* (slope coefficient: 2.75; p = 0.001)	–
Diagnoses	D50–D89(2.3; 1.0–5.1; 0.04)	Oncology(1.89; 1.36–2.63; <0.001)	–	–
	G00–G99(2.3; 1.3–4.2; 0.006)	–	–	–
	P00–P96(2.6; 1.0–6.5; 0.04)	–	–	–
Combinations	–	–	Age < 48 months + increase in the number of drugs (≥5)(2.05; 1.18–3.57; 0.01)	–

CI, confidence interval; GA, general anesthetic; D50–D89, diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism; G00–G99, diseases of the nervous system; HR, hazard ratio; OR, odds ratio; P00–P96, certain conditions originating in the perinatal period; p, significance level.

Variables related to the bivariate analysis.

Drug-related problems

Two publications were included in this evaluation, because they integrated the ADRs among DRPs.^17,21 As observed in the ADRs, the studies inferred the increase in the number of prescription drugs a risk factor for DRP, greater than or equal to five drugs, in both statistical models (uni- or multivariate). However, other discussed risk factors were both different among them and among the analysis type (Table 5).

Table 5.

Risk factors associated with drug-related problems.

Risk factor	Univariate analysis				Multivariate analysis
	Rashed et al.²¹		Rashed et al.¹⁷		Rashed et al.²¹		Rashed et al.¹⁷
	OR (CI 95%)	p	OR (CI 95%)	p	OR (CI 95%)	p	OR (CI 95%)	p
Gender
Female	1.0 (reference)	–	1.0 (reference)	–	1.0 (reference)	–	1.0 (reference)	–
Male	0.8 (0.5–1.4)	0.42	1.0 (0.7–1.3)	0.80	0.7 (0.4–1.3)	0.26	0.9 (0.6–1.2)	0.33
Age
0–1 month	1.0 (reference)	–	1.0 (reference)	–	1.0 (reference)	–	1.0 (reference)	–
>1 month to ≤2 years	0.7 (0.3–1.5)	0.30	1.3 (0.8–2.0)	0.28	1.3 (0.5–3.8)	0.60	1.3 (0.8–2.1)	0.33
>2 to ≤6 years	0.6 (0.3–1.3)	0.21	1.3 (0.8–2.0)	0.35	1.8 (0.5–6.8)	0.36	1.4 (0.8–2.4)	0.19
>6 to ≤12 years	0.9 (0.4–2.0)	0.74	1.6 (1.0–2.6)	0.06	2.1 (0.5–7.8)	0.28	1.9 (1.1–3.3)	0.01
>12 to ≤18 years	0.9 (0.4–2.0)	0.82	1.4 (0.8–2.5)	0.24	2.5 (0.7–8.7)	0.16	1.5 (0.8–2.8)	0.20
Diagnoses
A00–B99 (yes/no)	3.0 (1.1–7.7)	0.03	–	–	3.2 (1.2–8.9)	0.02	–	–
D50–D89 (yes/no)	–	–	2.2 (1.1–4.3)	0.02	–	–	1.6 (0.8–3.4)	0.20
J00–J99 (yes/no)	–	–	1.8 (1.0–3.1)	0.04	–	–	1.4 (0.8–2.6)	0.26
Number of prescription drugs (≥5 versus <5)	1.9 (1.1–3.4)	0.02	3.0 (2.2–4.2)	<0.001	2.2 (1.3–4.0)	0.006	2.4 (1.7–3.4)	<0.001
Admission type
Emergency	1.0 (reference)	–	1.0 (reference)	–	1.0 (reference)	–	1.0 (reference)	–
Scheduled	2.0 (1.1–3.7)	0.02	1.2 (0.8–1.8)	0.40	2.0 (0.9–4.1)	0.07	2.6 (1.7–4.1)	<0.001
Transferred	1.8 (0.8–3.9)	0.14	2.1 (1.5–2.9)	<0.001	1.5 (0.6–3.4)	0.38	4.2 (2.9–6.1)	<0.001

CI, confidence interval; OR, odds ratio; p, significance level.

Discussion

The lack of drug attribution to ADRs due to the absence of other information sources that can clarify this association is a bias commonly found in retrospective studies, especially the drug utilization studies.^22,23 Therefore, prospective studies are more advantageous than retrospective. Nevertheless, it is intriguing that the main method of the studies included in this review has been similar to the retrospective studies. Studies like these, while claimed as prospective, may contain information biases similar to retrospective studies.

With regard to risk factors associated with ADRs, such as those highlighted by Smyth and collaborators,² we found evidence that the increase in the number of prescription drugs is a predictor of ADRs. This may be due to the additional risk of an ADR when receiving several drugs, to drug–drug or drug–disease interactions, and to greater susceptibility of prescribing and administration errors during the hospital stay.

The results of this review suggest that pharmacists are primarily responsible for these studies. This professional category seems to have an important role in the ADR notification, mainly in the countries that participate in the ADR monitoring program of the WHO.²⁴ Moreover, their training, focused on the rational use of medicines, may have influenced this result.

By comparing the total of drugs involved in the ADRs and the total ADRs included in the studies, we note that the drug total number exceeded the ADR total number. We suspect that for each ADR, there was more than one drug involved. Despite being a controversial fact, we assume that the causality scale proposed by Naranjo cannot be effectively conclusive, although widely recognized by the scientific community.²⁵ Thus, this algorithmic scale may likely identify a suspected drug, giving a margin for personal inferences of the researcher.

Regarding the methodologies, different methods were conducted, although similar objectives have been observed. There were differences in (i) causality assessment; (ii) clinical setting; (iii) age group; (iv) implementation period; (v) terms used to define ADR; (vi) the drug or ADR classification models. Thus, a methodological standardization of ADR risk assessment studies would be necessary in children during hospitalization.

In relation to ADR incidence, there was large variation in the results (amplitude 32.4%). The value of the incidence pooled estimate calculated by the review (16.4%) was 1.72 times higher than the value of the pooled estimate of ADRs occurring during hospitalization in pediatric patients reported by another review, also based on prospective studies [9.53% (95% confidence interval 6.81–12.26)].²⁶

Some variations in the methodology affected this amplitude. We observed that the ADR incidence was inferior in the studies which included these events between the DRPs.^17,21 The search for DRPs in these studies was wide and included five other events in addition to ADRs. Thus, the focus on ADRs may have been smaller. At the same time, they were multicenter studies. Studies like these may incorporate observer bias, due to the complexity of the training. In this case, each researcher should have offered more or less focus on one of the six DRPs.²² Conversely, we observed a greater ADR incidence in a study conducted in the ICU.²⁰ Thus, the incidence may have been influenced by the polypharmacy and greater number of high-risk drugs used.²⁷

With regards the incidence values, the use of causality-defined instruments for ADRs, and the inclusion of ADRs classified as ‘possible’ affected the results of the present systematic review. Studies that included ‘possible’ ADRs made their calculations from three classifications (‘defined’, ‘probable’ and ‘possible’),^{16–18,20,21} unlike those that included only two (‘definite’ and ‘probable’)¹⁹ or those that included any suspicious reaction investigated.¹⁵ However, the ADR incidences varied by study site, use of the Naranjo instrument and the ADR inclusions among DRPs.

In addition, the care delivered in different health systems may have influenced in part the variation in incidence. Some of these hospitals could have more effective services engaged in ADR prevention. However, it was not possible to evaluate this influence due to the methodological diversity of the included studies since other factors, which were described in the previous paragraphs, seem to have had more influence on the ADR incidence. Moreover, it was not possible to evaluate the influence of the number of hospital beds on the incidence, since it was not possible to observe a pattern between the included studies.

On the other hand, the absence of an item of STROBE (i.e. item 14b) made it impossible to carry out metaregression and classification of risk factors by means of risk categorization. Despite the good quality of studies used in the quantitative synthesis, no publication has exposed the descriptive characteristics in numbers, grouped by exposed and unexposed groups for all risk factors analyzed. In addition, some factors considered as a risk in some studies were not statistically associated with ADRs in others.

Despite these findings, more studies are still needed to identify the risk factors for ADRs in pediatric inpatients; mainly studies including the assessment of off-label and unlicensed prescribing, as observed by Impicciatore et al. in another review.²⁶

Difficulties encountered by this review

The presentation form of data in publications sometimes affected evaluation. Data arranged in graphics, as suggested by STROBE, were more enlightening than data presented in written form. In addition, some publications showed dissonant data, making its interpretation difficult. In general, these errors did not alter the results presented, as the risk factor.

Benefits

This systematic review was instigated by reanalyzing the data described in the manuscripts. Moreover, it makes use of a comprehensive search strategy based on the synonyms and subcategories.

Limitations/correction bias

The results of this study should be interpreted with consideration to its limitations. This systematic review searched prospective cohort studies in children, with evaluation of the risk factors for ADRs occurring during the hospital stay, so it should not be extrapolated to the general pediatric population. Despite the heterogeneity of publications, the methodology we chose in this study attempted to homogenize the presented results. There was a reclassification of categories and new calculations were performed from the data reported by the authors. However, this was not sufficient to correct such discrepancies. Some studies had to be removed from the assessment during quantitative synthesis, and others could not be corrected, being described in accordance with the publication. Although the studies have included children of different ages, the present study and another two systematic reviews did not identify the immaturity of child development as a risk factor for ADR in hospitals.^2,26 In the present review, only one study identified the age less than 48 months as a risk factor.²⁰ However, other studies identified an increase of age or older ages.^17–19,21 This may represent a limitation of this review. However, a better approach on the subject is necessary, since there are differences in the results presented in the studies. In addition, the search method may not be the most suitable. If we consider that each type of ADR has specific risk factors, maybe the best methodology to be employed would be the assessment of the 10 most common drug-ADR combinations in the pediatric inpatient population followed by an assessment of the risk factors common across these combinations.

Conclusion

The increase in the number of prescription drugs favors the occurrence of ADRs in pediatric inpatients. Although the quality of these studies was generally good, it is still necessary that authors should follow guidelines such as STROBE with regard to the presentation of the results, mainly in relation to exposed and nonexposed groups. Moreover, it is necessary to use validated international classifications for defining ADRs, drug class, and causality. The methodology for the search of the records appears to be effective, but can suffer from information bias as a retrospective study, leaving the researcher to incorporate new search strategies such as triggers, clinical follow up in bed, and evaluation of laboratory tests.

Footnotes

Acknowledgements

This work was supported by a Fellowship of the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) awarded to PHSA. We furthermore thank Alfredo Dias de Oliveira Filho, Francilene Amaral da Silva, Lincoln Marques Cavalcante Santos and Saravanan Shanmugam for helpful comments on our manuscript.

Funding

All phases ofthis study were supported by a Fellowship of the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) awarded to Paulo Henrique Santos Andrade.

Conflict of interest statement

The authors declare that there is no conflict of interest.

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Supplementary Material

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Risk factors for adverse drug reactions in pediatric inpatients: a systematic review

Abstract

Background:

Methods:

Results:

Conclusions:

Keywords

Introduction

Method

Eligibility criteria

Search strategy

Study selection

Data collection

Quality evaluation of included studies

Statistical analysis

Calculation of incidence of adverse drug reactions

Adapted Forest graphic

Results

Qualitative summary

Included studies

Assessment of the methodological quality of the included studies

Study design

Persons involved in adverse drug reaction identification

Methods for adverse drug reaction identification

Quantitative summary

Adverse drug reactions incidence

Related adverse drug reactions

Suspected drug classes involved in adverse drug reactions

Risk factors

Adverse drug reactions

Drug-related problems

Discussion

Difficulties encountered by this review

Benefits

Limitations/correction bias

Conclusion

Footnotes

Acknowledgements

Funding

Conflict of interest statement

References

Supplementary Material