OBJECTIVE

Acute gastroenteritis (AGE) is the second leading cause of death in children worldwide. Objectively evaluating disease severity is critical for assessing future interventions. We used data from a large, prospective surveillance study to assess risk factors associated with severe presentation using modified Vesikari score (MVS) and Clark score (CS) of severity.

METHODS

From December 1, 2012 to June 30, 2016, AGE surveillance was performed for children between 15 days and 17 years old in the emergency, inpatient, and outpatient settings at Vanderbilt’s Monroe Carell Jr. Children’s Hospital in Nashville, TN. Stool specimens were tested for norovirus, sapovirus, rotavirus, and astrovirus. We compared demographic and clinical characteristics, along with the MVS and CS, by viral detection status and by setting.

RESULTS

Of the 6309 eligible children, 4216 (67%) were enrolled, with 3256 (77%) providing a stool specimen. The median age was 1.9 years, 52% were male, and 1387 (43%) of the stool samples were virus positive. Younger age, male sex, hospitalization, and rotavirus detection were significantly associated with higher mean MVS and CS. Non-Hispanic Black race and ethnicity was associated with a lower mean MVS and CS as compared with non-Hispanic white race and ethnicity. Prematurity and enrollment in the ED were associated with higher mean CS. The 2 scoring systems were highly correlated.

CONCLUSIONS

Rotavirus continues to be associated with more severe pediatric illness compared with other viral causes of AGE. MVS and CS systems yielded comparable results and can be useful tools to assess AGE severity.

Acute gastroenteritis (AGE) is a major cause of morbidity and mortality in children. It is the second leading cause of mortality worldwide for children under 5 years old, with the highest incidence in younger children.1  After the introduction of rotavirus vaccines, RotaTeq (RV5, licensed in 2006) and Rotarix (RV1, licensed in 2008), there has been an observed reduction in severe and fatal childhood diarrhea.2  Furthermore, in the postrotavirus vaccine era, rates of norovirus-associated hospitalization and medically-attended outpatient visits surpassed those associated with rotavirus, with an estimated disease burden of 14 000 hospitalizations, 281 000 emergency department (ED) visits, and 627 000 outpatient (OP) visits per year among children under 5 years old in the United States.3  Despite the decrease in the overall prevalence of rotavirus in a postvaccine era, rotavirus is associated with more severe illness than other AGE pathogens.4  Given the extensive morbidity and mortality associated with AGE, objective methods to grade severity were needed for critical research aimed at decreasing severity in children. These include identifying risk factors for severe disease, development of future clinical decision support tools, and developing future vaccine efficacy trials.

During the development and assessment of the rotavirus vaccines in the prelicensure era, researchers required an objective way to measure rotavirus-associated illness severity. The Vesikari and Clark scores (VS and CS, respectively) are severity scales developed by 2 different research groups to assess rotavirus vaccine efficacy and effectiveness in children and are used in postvaccine surveillance studies.5,6  The Modified Vesikari score (MVS) was later developed and validated to eliminate the need for a follow-up visual assessment and allow for ascertainment at the time of clinical presentation to the medical facility in the outpatient and ED settings.7,8  However, a follow-up call to the caregivers is required 2 weeks after the initial assessment. Although these scoring systems are established in AGE research, their use as clinical decision support tools is limited, and comparing effectiveness across cohorts is challenging when different scoring systems are applied. Prior research has focused on evaluating the correlation between VS and CS scoring systems to enable comparisons of rotavirus vaccine effectiveness across different studies. However, these efforts have identified a weak correlation between the VS and CS systems in postvaccination investigations.911  Furthermore, these studies were limited by small cohorts with participants younger than 5 years of age.

Researchers have also used these severity scoring systems to assess the specific pathogen and demographic risk factors in AGE illness severity. However, many of these studies are also limited to small sample sizes and restricted to either inpatient or ED settings.9,12,13  Further, many of these studies are limited to children under 5 years old and have assessed children with AGE caused by rotavirus only. Although rotavirus is known to cause more severe illness than other viral pathogens, few studies have specifically compared severity and demographics between children with any viral pathogen detected versus those testing negative for the viruses examined. Understanding differences between virus-positive and virus-negative gastroenteritis can provide clinically useful information about how these groups may differ in their presentation and disease severity.

The aim of our study was to identify risk factors associated with severe AGE presentation in children under 18 years of age. This includes comparing demographic characteristics, clinical symptoms, and severity scores between virus-positive and virus-negative patients, as well as further evaluating severity scores by stratifying for the 4 most common viral pathogens associated with AGE (ie, rotavirus, norovirus, astrovirus, and sapovirus), demographics, and medical setting at presentation. We aimed to compare MVS and CS in our large prospective AGE surveillance cohort to assess correlation between them with a goal of aiding future AGE-related research.

Children presenting to an inpatient, ED, or OP setting in Nashville, Tennessee between December 1, 2012 and June 30, 2016 were enrolled as part the Centers for Disease Control and Prevention (CDC) New Vaccine Surveillance Network, an active, population-based AGE surveillance platform. Parents or legal guardians provided written informed consent; when applicable, patients provided assent. This study was approved by the institutional review boards at the CDC, the Tennessee Department of Health, and Vanderbilt University Medical Center.

Children were eligible to be enrolled if they presented to Monroe Carell Jr. Children’s Hospital at Vanderbilt within 10 days of onset of AGE symptoms and were residents of Davidson County. AGE illness was defined as at least 1 episode of vomiting and/or at least 3 episodes of loose stools within 24 hours. Children in the inpatient, ED, and OP settings were eligible for enrollment if they were between ≥15 days and <18 years old.4  Children were excluded if they met any of the following criteria: (1) transferred from another hospital more than 48 hours after admission, (2) had a noninfectious or another identifiable cause of AGE symptoms (eg, head trauma), (3) were immunocompromised, or (4) were previously enrolled for the same AGE illness.

Demographic and clinical data were collected through parent and guardian interviews by trained research staff, and data from medical records were abstracted to determine clinical outcome data.

Whole stool specimens were collected from AGE patients within 10 days of illness onset; patients whose stool was collected outside of the window period were excluded from these analyses. Laboratory testing was conducted by the Tennessee Department of Health by means of reverse transcription quantitative polymerase chain reaction for norovirus, sapovirus, and astrovirus RNA and by Vanderbilt University Medical Center using Rotaclone enzyme immunoassay (EIA) for rotavirus antigen, followed by either repeat EIA and/or reverse transcription quantitative polymerase chain reaction verification of antigen detection by the CDC.14  Patients with an inconclusive test result were excluded.

Severity of AGE symptoms at presentation was determined using the MVS and CS. Both scoring systems account for duration of diarrhea and vomiting, number of diarrheal and vomiting episodes in 24 hours, and fever. The MVS accounts for dehydration using the World Health Organization Integrated Management of Childhood Illness dehydration criteria15  (Supplemental Table 4), along with treatment (rehydration and hospitalization). This difference was made to eliminate the need for follow-up interviews performed in previous studies.7,8  The CS accounts for fever duration and behavioral symptoms. We logically imputed temperature for cases for which a fever was reported but associated temperature was not. There were 411 of 2012 (20.4%) cases of subjective fever; these were imputed to 37.0°C to account for uncertainty in how the temperature was measured; these cases do not contribute to MVS or CS score. As the duration of behavioral symptoms was not collected in this study, it was excluded from the calculation of the CS. Therefore, we used a modified version of the original CS. The MVS is calculated on a 20-point scale and the CS on a 21-point scale (Supplemental Table 4). For both scoring systems, the range of points per symptom factor is 0 through 3, with the exception of dehydration (2–3) and treatment (1–2) for MVS.

Demographic variables were summarized descriptively as frequency (percentage) or mean and median (SD and interquartile range [IQR], respectively), as appropriate. Demographics were compared between virus-positive and test negative patients and across virus detection categories (ie, rotavirus, norovirus, astrovirus, sapovirus, viral codetection, and no virus). We further compared clinical symptoms of fever, vomiting, diarrhea, and days ill at presentation between virus-positive and test negative patients and across virus detection categories. We compared the mean MVS and CS between groups defined by demographic and pathogen status. Comparisons were performed using Pearson’s χ2 test for categorical variables and linear regression with robust standard errors for continuous variables. Multiple linear regression was used to assess the association between each scoring system (eg, MVS and CS) and the following variables: age, sex, prematurity, daycare or school attendance, insurance status, medical setting, and virus group. Spearman’s correlation was used to measure the relationship between the MVS and CS. When comparing severity scores across different settings, hospitalization was removed from the treatment category of the MVS for patients presenting to the inpatient setting. This was done to allow for an unbiased comparison of symptom severity at presentation across settings, since hospitalization itself contributes to the MVS and patients in the inpatient setting are hospitalized by definition. Removing these 2 points from the score allows the MVS to reflect just the symptom severity for inpatients at the time of presentation before hospitalization, enabling a fair comparison with severity in other settings. Hospitalization was included in all other analysis using the MVS. A significance level of 0.05 (2-tailed, where appropriate) was used for all analyses. All statistical analyses were performed using R software (version 4.1.1).

From December 1, 2012 to June 30, 2016, a total of 6309 children were eligible and 4216 (67%) were enrolled, with 3256 (77%) participants providing a stool specimen (Fig 1). The median age of the cohort was 1.9 years, 52% were male, 55% were white, 58.5% were non-Hispanic, 9.3% were premature, and 40.5% attended daycare or school. Children presenting to the inpatient, emergency department, and outpatient settings experienced symptoms for 3.5 (2.0), 2.6 (1.8), and 3.2 (1.9) days on average (SD), respectively, before enrollment. Days from enrollment to specimen collection was, on average (SD), 1.0 (1.8) day for the inpatient setting, 1.9 (2.2) days for the emergency department setting, and 1.9 (2.4) days for the outpatient setting.

FIGURE 1

Flow diagram of the study population presenting to Monroe Carell Children’s Hospital at Vanderbilt between December 2012 and June 2016.

FIGURE 1

Flow diagram of the study population presenting to Monroe Carell Children’s Hospital at Vanderbilt between December 2012 and June 2016.

Close modal

Overall, 1387 (43%) of the stool specimen tested were positive for at least 1 of the 4 viruses tested. The most common single-detected virus tested was norovirus (678; 49%), followed by sapovirus (266; 19%), rotavirus (228; 16%), and astrovirus (98; 7%); a total 117 (8%) specimens tested positive for more than 1 viruses (Figs 2A and 2B).

FIGURE 2

Bar plot showing the distribution of viruses (A) singly detected or (B) codetected in the stool specimens of children with symptoms of acute gastroenteritis presenting to Monroe Carell Children’s Hospital at Vanderbilt between December 2012 and June 2016 (1, rotavirus; 2, norovirus; 3, sapovirus; 4, astrovirus; N = 1387).

FIGURE 2

Bar plot showing the distribution of viruses (A) singly detected or (B) codetected in the stool specimens of children with symptoms of acute gastroenteritis presenting to Monroe Carell Children’s Hospital at Vanderbilt between December 2012 and June 2016 (1, rotavirus; 2, norovirus; 3, sapovirus; 4, astrovirus; N = 1387).

Close modal

Age, sex, premature status, daycare or school attendance, insurance status, breastfeeding, and medical setting distribution were comparable between the group of children that tested positive for at least 1 of the 4 viruses compared with the test negative children (Table 1). The mean MVS was higher in the virus-positive group compared with those testing negative (8.14 vs 7.37, respectively; P < .001) and the mean CS was higher, though not statistically significant, in the virus-positive group compared with the negative group (7.17 vs 6.95, respectively; P = .051).

TABLE 1

Demographic Characteristics of Children With Symptoms of Acute Gastroenteritis Presenting to Monroe Carell Jr. Children’s Hospital at Vanderbilt Between December 2012 and June 2016 Stratified by Viral Detection Status (N = 3256)

Test-negative (n = 1869)Virus-positive (n = 1387)P
Characteristic 
Age at enrollment in years—mean (SD), median [IQR] 3.8 (4.0), 2.0 [0.8–5.7] 3.0 (3.1), 1.8 [1.0– 3.8] <.001 
Age category—n (%) 
 15 days to <1 y old 567 (30.3) 363 (26.2)  
 1 to <2 y old 361 (19.3) 403 (29.1)  
 2 to <5 y old 405 (21.7) 358 (25.8)  
 ≥5 y old 536 (28.7) 263 (19.0)  
Female—n (%) 886 (47.4) 678 (48.9) .404 
Race and Hispanic origin—n (%) 
 Hispanic 739 (39.5) 613 (44.2)  
 Non-Hispanic white 411 (22.0) 350 (25.2)  
 Non-Hispanic Black 670 (35.9) 399 (28.8)  
 Non-Hispanic other 49 (2.6) 25 (1.8)  
Premature—n (%)a 172/1857 (9.2) 132/1373 (9.5) .735 
Daycare or school—n (%) 781/1866 (41.9) 537/1386 (38.7) .074 
Insurance status—n (%)   .040 
 Public 1621 (86.7) 1162 (83.8)  
 Private 174 (9.3) 171 (12.3)  
 Both 25 (1.3) 22 (1.6)  
 None or unknown 49 (2.6) 32 (2.3)  
Breastfeeding—n (%)b 423/566 (74.7) 257/363 (70.8) .186 
Rotavirus vaccination—n (%)c 1383/1806 (76.6) 1130/1372 (82.4) <.001 
Setting—n (%)   .403 
 Inpatient 146 (7.8) 111 (8.0)  
 Emergency 1085 (58.1) 773 (55.7)  
 Outpatient 638 (34.1) 503 (36.3)  
Days ill at presentation—mean (SD), median [IQR] 3.0 (1.9), 2.0 [2.0–4.0] 2.8 (1.9), 2.0 [1.0–4.0] .008 
Modified Vesikari score—mean (SD), median [IQR] 7.4 (3.0), 7.0 [5.0–9.0] 8.1 (3.2), 8.0 [6.0–10.0] <.001 
Clark score—mean (SD), median [IQR] 6.9 (3.0), 7.0 [5.0–9.0] 7.2 (3.2), 7.0 [5.0–9.0] .051 
Test-negative (n = 1869)Virus-positive (n = 1387)P
Characteristic 
Age at enrollment in years—mean (SD), median [IQR] 3.8 (4.0), 2.0 [0.8–5.7] 3.0 (3.1), 1.8 [1.0– 3.8] <.001 
Age category—n (%) 
 15 days to <1 y old 567 (30.3) 363 (26.2)  
 1 to <2 y old 361 (19.3) 403 (29.1)  
 2 to <5 y old 405 (21.7) 358 (25.8)  
 ≥5 y old 536 (28.7) 263 (19.0)  
Female—n (%) 886 (47.4) 678 (48.9) .404 
Race and Hispanic origin—n (%) 
 Hispanic 739 (39.5) 613 (44.2)  
 Non-Hispanic white 411 (22.0) 350 (25.2)  
 Non-Hispanic Black 670 (35.9) 399 (28.8)  
 Non-Hispanic other 49 (2.6) 25 (1.8)  
Premature—n (%)a 172/1857 (9.2) 132/1373 (9.5) .735 
Daycare or school—n (%) 781/1866 (41.9) 537/1386 (38.7) .074 
Insurance status—n (%)   .040 
 Public 1621 (86.7) 1162 (83.8)  
 Private 174 (9.3) 171 (12.3)  
 Both 25 (1.3) 22 (1.6)  
 None or unknown 49 (2.6) 32 (2.3)  
Breastfeeding—n (%)b 423/566 (74.7) 257/363 (70.8) .186 
Rotavirus vaccination—n (%)c 1383/1806 (76.6) 1130/1372 (82.4) <.001 
Setting—n (%)   .403 
 Inpatient 146 (7.8) 111 (8.0)  
 Emergency 1085 (58.1) 773 (55.7)  
 Outpatient 638 (34.1) 503 (36.3)  
Days ill at presentation—mean (SD), median [IQR] 3.0 (1.9), 2.0 [2.0–4.0] 2.8 (1.9), 2.0 [1.0–4.0] .008 
Modified Vesikari score—mean (SD), median [IQR] 7.4 (3.0), 7.0 [5.0–9.0] 8.1 (3.2), 8.0 [6.0–10.0] <.001 
Clark score—mean (SD), median [IQR] 6.9 (3.0), 7.0 [5.0–9.0] 7.2 (3.2), 7.0 [5.0–9.0] .051 

P values were calculated using Pearson’s χ2 test for categorical variables and the 2-sample t test with unequal variances for continuous variables.

a

Gestational age ≤ 37 wk.

b

Restricted to children <1 y old.

c

Excludes those that were unknown or who were <42 d old.

The distribution of MVS and CS by setting is displayed in Supplemental Fig 3. The MVS and CS scoring systems were highly correlated (r = 0.84). Comparisons of MVS and CS within levels of each patient characteristic are presented in Table 2. In our univariate analyses, factors associated with significantly higher mean for both MVS and CS included younger age, male sex, daycare or school attendance, hospitalization, and positive test for rotavirus (Table 2). In addition, private insurance was significantly associated with a higher mean MVS, although not significant when using CS. Similarly, prematurity was associated with significantly higher mean CS but was not significant when using MVS.

TABLE 2

Mean Modified Vesikari Score (MVS) and Clark Score (CS) Among Children With Symptoms of Acute Gastroenteritis Presenting to Monroe Carell Jr. Children’s Hospital at Vanderbilt Between December 2012 and June 2016 Stratified by Demographic Characteristics and Viral Outcomes (N = 3256)

MVSPCSP
Characteristic 
Age category 
 15 days to <1 y old 8.1 (3.1) REF 7.5 (3.0) REF 
 1 to <2 y old 8.1 (3.1) .939 7.4 (3.1) .742 
 2 to <5 y old 7.6 (3.1) .001 6.9 (3.1) <.001 
 ≥5 y old 6.9 (3.0) <.001 6.3 (3.0) <.001 
Sex 
 Male 7.9 (3.2) REF 7.2 (3.1) REF 
 Female 7.5 (3.0) .001 6.8 (3.1) <.001 
Race and Hispanic origin 
 Non-Hispanic white 8.1 (3.1)  7.4 (3.1)  
 Hispanic 7.8 (3.2)  7.0 (3.0)  
 Non-Hispanic Black 7.3 (3.0)  6.8 (3.1)  
 Non-Hispanic other 7.1 (2.6)  6.4 (3.0)  
Prematurea 
 Yes 8.0 (3.2) REF 7.4 (3.1) REF 
 No 7.7 (3.1) .103 7.0 (3.1) .046 
Daycare or school 
 Yes 7.3 (3.0) REF 6.7 (3.1) REF 
 No 8.0 (3.2) <.001 7.3 (3.1) <.001 
Breastfeedingb 
 Yes 8.1 (3.1) REF 7.4 (3.0) REF 
 No 8.2 (3.1) .696 7.6 (3.1) .519 
Insurance status 
 Public 7.7 (3.1) REF 7.0 (3.1) REF 
 Private 8.1 (3.3) .017 7.3 (3.1) .070 
 Both 7.7 (3.2) .978 7.3 (3.4) .597 
 None or unknown 7.1 (3.4) .109 6.5 (3.0) .142 
Settingc 
 Emergency 7.5 (3.1) REF 7.1 (3.1) REF 
 Inpatient 8.4 (3.3) <.001 8.4 (3.3) <.001 
 Outpatient 7.5 (2.9) .792 6.7 (3.0) <.001 
Virus group 
 Rotavirus, only 9.5 (3.1) REF 8.7 (3.0) REF 
 Norovirus, only 7.7 (3.1) <.001 6.6 (3.2) <.001 
 Astrovirus, only 8.0 (3.3) <.001 7.3 (3.3) <.001 
 Sapovirus, only 7.9 (3.0) <.001 7.2 (3.1) <.001 
 Codetection 8.6 (3.5) .015 7.6 (3.2) .002 
 No virus 7.4 (3.0) <.001 6.9 (3.0) <.001 
MVSPCSP
Characteristic 
Age category 
 15 days to <1 y old 8.1 (3.1) REF 7.5 (3.0) REF 
 1 to <2 y old 8.1 (3.1) .939 7.4 (3.1) .742 
 2 to <5 y old 7.6 (3.1) .001 6.9 (3.1) <.001 
 ≥5 y old 6.9 (3.0) <.001 6.3 (3.0) <.001 
Sex 
 Male 7.9 (3.2) REF 7.2 (3.1) REF 
 Female 7.5 (3.0) .001 6.8 (3.1) <.001 
Race and Hispanic origin 
 Non-Hispanic white 8.1 (3.1)  7.4 (3.1)  
 Hispanic 7.8 (3.2)  7.0 (3.0)  
 Non-Hispanic Black 7.3 (3.0)  6.8 (3.1)  
 Non-Hispanic other 7.1 (2.6)  6.4 (3.0)  
Prematurea 
 Yes 8.0 (3.2) REF 7.4 (3.1) REF 
 No 7.7 (3.1) .103 7.0 (3.1) .046 
Daycare or school 
 Yes 7.3 (3.0) REF 6.7 (3.1) REF 
 No 8.0 (3.2) <.001 7.3 (3.1) <.001 
Breastfeedingb 
 Yes 8.1 (3.1) REF 7.4 (3.0) REF 
 No 8.2 (3.1) .696 7.6 (3.1) .519 
Insurance status 
 Public 7.7 (3.1) REF 7.0 (3.1) REF 
 Private 8.1 (3.3) .017 7.3 (3.1) .070 
 Both 7.7 (3.2) .978 7.3 (3.4) .597 
 None or unknown 7.1 (3.4) .109 6.5 (3.0) .142 
Settingc 
 Emergency 7.5 (3.1) REF 7.1 (3.1) REF 
 Inpatient 8.4 (3.3) <.001 8.4 (3.3) <.001 
 Outpatient 7.5 (2.9) .792 6.7 (3.0) <.001 
Virus group 
 Rotavirus, only 9.5 (3.1) REF 8.7 (3.0) REF 
 Norovirus, only 7.7 (3.1) <.001 6.6 (3.2) <.001 
 Astrovirus, only 8.0 (3.3) <.001 7.3 (3.3) <.001 
 Sapovirus, only 7.9 (3.0) <.001 7.2 (3.1) <.001 
 Codetection 8.6 (3.5) .015 7.6 (3.2) .002 
 No virus 7.4 (3.0) <.001 6.9 (3.0) <.001 

P values were calculated using Pearson’s χ2 test for categorical variables and linear regression with robust standard errors for continuous variables.

a

Gestational age ≤37 wk.

b

Restricted to children <1 y old.

c

Hospitalization excluded from calculation of MVS for those in the inpatient setting.

When further stratifying the comparison of scoring systems by 2 age groups: 15 days to 2 years and 3 to 17 years, the younger children had a higher average MVS and CS (8.1 and 7.4, respectively) compared with the older children (7.1 and 6.5, respectively), with P values < .001 for both scoring systems.

Results for the 2 multiple regression models are presented in Table 3. We found that younger age, male sex, hospitalization (as compared with the ED), and rotavirus detection were significantly associated with higher mean MVS and CS. In addition, prematurity and enrollment in the ED setting (compared with outpatient) were associated with higher mean CS.

TABLE 3

Multiple Linear Regression Results of the Association Between Demographic Characteristics and Viral Outcomes With the Modified Vesikari Score (MVS) and Clark Score (CS) in Children With Symptoms of Acute Gastroenteritis Presenting to Monroe Carell Jr. Children’s Hospital at Vanderbilt Between December 2012 and June 2016 (N = 3256)

VariableMVSCS
Coefficient95% CIPCoefficient95% CIP
Age, y −0.08 −0.11 to −0.04 <.001 −0.09 −0.13 to −0.06 <.001 
Sex: female −0.25 −0.46 to −0.05 .016 −0.29 −0.50 to −0.09 .005 
Premature 0.27 −0.09 to 0.62 .139 0.34 −0.01 to 0.69 .057 
Daycare or school −0.21 −0.47 to 0.05 .109 −0.11 −0.38 to 0.15 .390 
Insurance status 
 Public REF   REF   
 Private or both 0.15 −0.17 to 0.48 .358 0.22 −0.11 to 0.54 .196 
 None −0.58 −1.25 to 0.09 .091 −0.61 −1.29 to 0.06 .075 
Setting 
 Emergency REF   REF   
 Inpatient 2.64 2.25 to 3.04 <.001 1.09 0.69 to 1.49 <.001 
 Outpatient −0.03 −0.25 to 0.20 .819 −0.38 −0.61 to −0.16 <.001 
Virus group 
 No virus REF   REF   
 Norovirus 0.27 0.01 to 0.54 .042 −0.45 −0.71 to −0.18 .001 
 Sapovirus 0.53 0.15 to 0.92 .006 0.13 −0.26 to 0.52 .510 
 Astrovirus 0.56 −0.05 to 1.17 .07 0.33 −0.28 to 0.95 .285 
 Codetection 1.09 0.53 to 1.65 <.001 0.51 −0.06 to 1.08 .078 
 Rotavirus 1.98 1.57 to 2.39 <.001 1.64 1.22 to 2.05 <.001 
VariableMVSCS
Coefficient95% CIPCoefficient95% CIP
Age, y −0.08 −0.11 to −0.04 <.001 −0.09 −0.13 to −0.06 <.001 
Sex: female −0.25 −0.46 to −0.05 .016 −0.29 −0.50 to −0.09 .005 
Premature 0.27 −0.09 to 0.62 .139 0.34 −0.01 to 0.69 .057 
Daycare or school −0.21 −0.47 to 0.05 .109 −0.11 −0.38 to 0.15 .390 
Insurance status 
 Public REF   REF   
 Private or both 0.15 −0.17 to 0.48 .358 0.22 −0.11 to 0.54 .196 
 None −0.58 −1.25 to 0.09 .091 −0.61 −1.29 to 0.06 .075 
Setting 
 Emergency REF   REF   
 Inpatient 2.64 2.25 to 3.04 <.001 1.09 0.69 to 1.49 <.001 
 Outpatient −0.03 −0.25 to 0.20 .819 −0.38 −0.61 to −0.16 <.001 
Virus group 
 No virus REF   REF   
 Norovirus 0.27 0.01 to 0.54 .042 −0.45 −0.71 to −0.18 .001 
 Sapovirus 0.53 0.15 to 0.92 .006 0.13 −0.26 to 0.52 .510 
 Astrovirus 0.56 −0.05 to 1.17 .07 0.33 −0.28 to 0.95 .285 
 Codetection 1.09 0.53 to 1.65 <.001 0.51 −0.06 to 1.08 .078 
 Rotavirus 1.98 1.57 to 2.39 <.001 1.64 1.22 to 2.05 <.001 

Our large, prospective AGE surveillance study found that MVS and CS correlated well and that children who were rotavirus-positive had significantly higher MVS and CS scores when compared with children who tested virus-negative as well as children who tested positive for norovirus, sapovirus, and/or astrovirus. In addition, younger age, male sex, and hospitalization were associated with higher severity scores in children in our cohort. Our study highlights the identification of specific risk factors for more severe disease presentation using the MVS and CS and could help assess future vaccine effectiveness trials for AGE pathogens.

Our study found that virus-positive children had higher MVS scores when compared with virus-negative children. Defining severity of AGE illness is critical for directing future interventions aimed at decreasing morbidity and mortality because of specific AGE pathogens, especially when assessing vaccine efficacy and effectiveness. Our study significantly adds to the literature in that few studies have compared severity of virus-negative and virus-positive AGE in children. One study evaluating the CS did not identify important differences in severity between viral and bacterial causes of AGE13  and was limited by a small number of participants (n = 137). Other studies have used the MVS to compare severity of virus-negative and virus-positive patients in the inpatient and outpatient settings for all causes of AGE.8,1618  However, these studies were mostly limited to children under 5 years old and did not examine specific viral causes of AGE in relation to the MVS. Of note, the MVS and CS did not differ between the ED and OP setting; however, the scores in the inpatient setting were significantly higher even when excluding points for hospitalization from the MVS. Thus, our large prospective cohort was unique in that we used both severity scoring systems to identify differences between virus-negative and virus-positive patients ranging in age from infancy through middle adolescence and presenting to all major health care settings.

Our study also found that rotavirus was associated with both higher mean MVS and CS, even in the postrotavirus vaccine era. Given the global burden of rotavirus-associated illness, the MVS and CS were originally designed to assess rotavirus vaccine efficacy.9,1922  A case-control study of children less than 1 year of age who had a rotavirus infection from 1987 to 1995 identified male sex, prematurity, and public insurance as risk factors for severe rotavirus-associated AGE.23  Another study found no difference between biological sex and severity of AGE, though it was limited to a smaller cohort size of only 650 participants.24  Our study significantly strengthens the literature in showing that male sex is indeed a significant risk factor for more severe AGE presentation by assessing a large cohort with a broad age range and multiple contributing pathogens. Further research is needed to assess why these differences exist to form mitigation strategies for severe AGE. In the postrotavirus vaccine era, rotavirus is still associated with the highest severity and optimizing vaccine uptake is essential to help reduce the burden of rotavirus-associated disease.

Previous studies have consistently shown that younger age is associated with more severe AGE presentation. Our study agrees with previous findings and further supports research targeted toward lowering morbidity and mortality in younger children with AGE. Lastly, our study found that previous daycare or school attendance was associated with lower AGE severity at presentation. Previous studies have also shown similar findings,25,26  with the hypothesis being that early exposure to pathogens grants protection from more severe presentation later in life. Future research should further focus on this association and its implication on public health policy.

We found a strong positive correlation between MVS and CS. Previous research studies in this area have focused on the original Vesikari and Clark scoring systems regarding severe rotavirus induced AGE, and they did not find a strong correlation between scores.911  Apart from only focusing on severe rotavirus induced AGE, they also had a smaller cohort.911  Our results show that the MVS and CS were concordant. Our study population differed from previous research in that we compared the systems using a large prospective cohort with multiple AGE pathogens who sought care at 3 different settings. This large and diverse cohort may have accounted for the differences seen in our study compared with previous literature. This is an important first step in establishing a scoring system that could be validated and used to aid clinicians in assessing AGE severity at presentation, including need for hospitalization. It also may aid in future AGE research (including postvaccine surveillance) by showing both systems are comparable.

Strengths of our study include a large sample size, multiple settings (emergency, outpatient, and inpatient), and enrollment over 4 consecutive seasons. However, this was a single-center study that may not be representative of all regions of the United States. Furthermore, children included in the study might not display the full spectrum of AGE symptom presentation. We also only tested for 4 common AGE viral pathogens (rotavirus, norovirus, sapovirus and astrovirus), and therefore, we are not able to assess severity of other AGE viral pathogens (eg, adenovirus, enterovirus). The study design is also potentially limited by survey biases such as sampling, recall, acquiescence, and/or extreme response. We attempted to mitigate this inherent limitation using a standardized interview technique with trained research personnel. Moreover, the definitions of dehydration and behavioral symptoms for the scales can be somewhat interview or clinician dependent as symptoms such as “lethargic, irritable, and skin pinch response” are not objective. We tried to minimize this subjectivity by structured in-depth training with our research assistants enrolling patients; however, these measurements were not replicated by a second person. Moreover, since different researchers collected data in each setting, there is a limitation of the inter-rater reliability of MVS and CS across settings. Efforts were made to promote consistency across settings through use of standardized symptom assessments across settings. However, inter-rater reliability was not formally evaluated between researchers. Furthermore, neither the modified CS system nor the adapted MVS system used for comparison across settings have been thoroughly validated, which could also impact reliability. This highlights an area for improvement in future work.

In summary, we found that the 2 major scoring systems, MVS and CS, were comparable when assessing AGE severity in a large cohort of children with AGE. Future studies should focus on comparing effectiveness between rotavirus vaccines in the postsurveillance period using these 2 scores. We also found that male sex and younger age were associated with higher MVS and CS. Furthermore, higher MVS and CS scores were demonstrated in hospitalized and rotavirus-positive children. These risk factors may aid clinicians in determining which children are at high-risk for severe AGE. Future studies should also focus on the development of a clinical decision-support tool that could identify children at high risk of severe disease requiring hospitalization.

Dr Plancarte conceptualized and designed the study and drafted the initial manuscript; Ms Stopczynski conceptualized and designed the study, performed data analysis, interpreted the data, drafted the initial manuscript, and reviewed and revised the manuscript; Dr Hamdan conceptualized and designed the study, reviewed and revised the manuscript; Drs Stewart and Halasa, and Ms Wikswo conceptualized and designed the study, designed the data collection instruments, coordinated and supervised data collection and testing, and reviewed and revised the manuscript; Mr Rahman performed data analysis; Dr Amarin performed data analysis and reviewed and revised the manuscript; Dr Chappell designed the data collection instruments and coordinated and supervised data collection and testing; Drs Dunn, Payne, and Hall reviewed and revised the manuscript; Dr Spieker conceptualized and designed the study, performed and supervised data analysis, and reviewed and revised the manuscript; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

FUNDING: This work was supported by the US Centers for Disease Control and Prevention (cooperative agreement CDC-RFA-IP16-003) and UL1 TR000445 from National Center for Advancing Translational Sciences and National Institutes of Health. The US Centers for Disease Control and Prevention provided funding for subject enrollment, sample collection and testing, and also participated in the design of the study. National Institutes of Health grant to support REDCap. The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

CONFLICT OF INTEREST DISCLOSURES: The authors have no conflicts of interest relevant to this article to disclose.

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