Acute Kidney Injury in Paediatric Inflammatory Multisystem Syndrome Temporally Associated With SARS- CoV- 2 (PIMS- TS) Is Not Associated With Progression To Chronic Kidney Disease

Mar 13, 2022

edmund.chen@wecistanche.com

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INTRODUCTION

A novel syndrome affecting children and young people (CYP) which has clinical overlap with Kawa-saki disease, toxic shock syndrome, and macrophage activation syndrome was first reported by the South Thames Retrieval Service in London, UK, in April 2020 in the context of the evolving SARS- CoV- 2 pandemics. 1 In the UK, this condition was named paediatric inflammatory multisystem syndrome temporally associated with SARS- CoV- 2 (PIMS- TS) and the Royal College of Paediatrics and Child Health (RCPCH) was the first to publish a case definition. 2 The Centers for Disease Control and Prevention and the WHO subsequently released their own definitions for this condition, naming it multisystem inflammatory syndrome in children (MISC). 3 4 In June 2020, we reported on the incidence of acute kidney injury (AKI) in hospitalized CYP with SARS- CoV- 2 infections at Great Ormond Street Hospital (London, UK). 5 We observed that AKI was more common in CYP with SARS- CoV- 2 who met diagnostic criteria for PIMS- TS, with 73% of AKI cases occurring in this cohort. These findings.

Keywords: kidney injury; kidney function; kidney dysfunction; kidney; renal

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METHODS  Study design and participants We conducted a single-centre observational study via electronic patient record analysis at Great Ormond Street Hospital. All patients were <18 years at time of hospitalisation and met the RCPCH case definition for PIMS- TS including persistent fever with evidence of systemic inflammation and organ dysfunction. 2 Patients were admitted between 4 April 2020 and 7 March 2021, and were retrieved from a primary site to our centre which acts as a regional tertiary/quaternary referral centre.

AKI definition  As patients presented acutely, previous serum creatinine (sCr) values were not available to establish baseline kidney function. AKI was defined based on peak sCr values obtained during the patient’s admission referenced against the age-specific upper limit of reference interval (ULRI) values published by the British Association of Paediatric Nephrology. 10 Reduced kidney function was assumed to be reversible as part of the criteria for defining AKI. AKI stage 1 was defined as sCr >1.5–2×ULRI, stage 2 as >2–3×ULRI and stage 3 as >3×ULRI. Estimated glomerular filtration rate (eGFR) was based on the revised Schwartz equation 11 : eGFR creat =36.5×(height (cm)/sCr (μmol/L)). 11

Procedures  All patients underwent SARS- CoV- 2 testing by reverse transcription PCR from nasopharyngeal swabs, and serology testing using IgG antibodies to SARS- CoV- 2 nucleocapsid protein or spike protein from June 2020 onwards (Epitope Diagnostics; San Diego, California, USA). Left ventricular ejection fraction (LVEF) on echocardiography was used to define left ventricular dysfunction: none ≥50%,mild 40%–49%, moderate 30%–39% and severe <30%. Renal ultrasound findings were reported as not performed, normal or abnormal. Abnormal findings included loss of corticomedullary differentiation and/or increased echogenicity which could be indicative of AKI. Significant comorbidities constituted those where hospital-based management may be required. Obesity was not included as comorbidity as data relating to this were collected by body mass index (BMI) calculation. After hospital discharge, patients have been followed up at 6–8 weeks and 6 months in a dedicated multi-professional PIMS- TS clinic. Presentations before September 2020 are classified as ‘first wave’, and those thereafter as ‘second wave’. Due to the rapid transmissibility of the Alpha variant from October 2020 onwards in the UK, most second wave PIMS- TS cases were postulated to be associated with this. Genotype sequencing was hindered by the limitations of PCR minimum cycle threshold detection as most patients presented some weeks after SARS- CoV- 2 exposure.

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Statistical analysis  The main outcome measure was the presence of AKI during hospitalisation. Baseline biochemical, clinical and demographic features were assessed to identify associations with AKI. Univariable logistic regression modelling assessed the odds of any single variable being associated with AKI stages 1–3. Multivariable modelling, using only three parameters to avoid overfitting, assessed the independent association with severe AKI (stages 2–3). ORs are presented with 95% CI range. χ² test compared categorical variables and Student’s t-test compared continuous variables. Results are presented as numbers and percentages (%) for categorical variables, and medians and IQRs for continuous variables. Analyses were performed using Microsoft Excel V.2019 (Microsoft, Redmond, Washington, USA) and R programming language (R Core Team).

RESULTS Baseline characteristics  Data were available for 110 patients with PIMS- TS. Baseline characteristics are summarised in table 1. The median age at presentation was 10.2 years (IQR 7.6–12.6), 63 (57%) were male, 98 (88%) were of non-white ethnicity and median BMI centile was 88 (IQR 47–97). SARS- CoV- 2 seropositivity was present in 105 (95%) and PCR positivity in 33 (30%). Fever occurred in all. Diarrhoea and vomiting were present in 65 (59%) and 66 (60%), respectively. Comorbidities were present in 6 (5%). The median duration of hospital stay was 8 days (IQR 6–11) with 98 (89%) being admitted directly to the paediatric intensive care unit (PICU) for a median duration of 3 days (IQR 2–5). Inotropic support was required in 84 (76%) for a median duration of 1.7 days (IQR 1–2). Twenty-two (20%) received mechanical ventilation for a median duration of 2 days (IQR 1–3). Myocardial dysfunction was present in 47 (43%). Four (4%) had underlying kidney abnormalities on ultrasound consistent with congenital abnormalities of the kidney and urinary tract rather than AKI.

Diagnosis and staging of AKI  Of 110 patients, AKI was diagnosed in 33 (30%): stage 1 in 13 (12%), stage 2 in 8 (7%) and stage 3 in 12 (11%). A further 35 (45%) had peak sCr >ULRI but not beyond the AKI diagnostic threshold. No CYP were known to have underlying kidney disease prior to admission. None required continuous renal replacement therapy. Of the AKI group, two patients did not experience normalisation of sCr to <ULRI before discharge although this had occurred at subsequent follow-up. There was rapid normalisation of sCr with the median value for all AKI stages being <100 µmol/L by day 4 of admission (figure 1).

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Comparison of non-AKI and AKI groups  The baseline characteristics cross-tabulated with the presence of AKI are summarised in table 2. AKI incidence was higher in those of non-white ethnicity (p=0.004), those with respiratory distress (p=0.04), those admitted to PICU (p=0.016), and in those requiring mechanical ventilation (p=0.005) and inotropic support (p=0.001). The median duration for inotropic support was longer in the AKI cohort (p=0.04). The AKI group experienced higher peak levels of triglycerides (p=0.04), ferritin (p=0.03), C reactive protein (CRP) (<0.001), D- dimers (p=0.04) and N- terminal pro B- type natriuretic peptide (NT- proBNP) (p=0.03). Additional data are summarised in online supplemental appendix 1.

Univariable and multivariable modelling for AKI  In univariate analysis (table 3), patients with AKI were predisposed to higher peak levels of triglycerides (OR, 1.27 (95% CI, 1.05 to 1.6) per 1 mmol/L increase), CRP (OR, 1.06 (95% CI, 1.02 to 1.12) per 10 mg/L increase), D- dimers (OR, 1.07 (95% CI, 1.03 to 1.14) per 1000 ng/mL increase) and NT- proBNP (OR, 1.03 (95% CI, 1.004 to 1.07) per 1000 pg/mL increase). They were more likely to require mechanical ventilation (OR, 3.8 (95% CI, 1.46 to 10.4)) and inotropic support (OR, 15.4 (95% CI, 3.02 to 281)). A multivariate model (Table 4), using- white ethnicity, triglycerides (per 1 mmol/L increase) and diarrhoea as a presenting symptom, showed only triglycerides to be independently associated with severe AKI (stages 2–3) (adjusted OR, 1.26 (95% CI, 1.04 to 1.6)).

Comparison of AKI presentations according to time point Forty-three (39%) patients presented before September 2020, none presented in September and 67 (61%) presented hereafter (figure 2). AKI incidence did not differ between cohorts presenting before and after September 2020 (33% vs 28.4%, p=0.85).

Follow-up data  At the time of data analysis, 50 patients (46%) had received follow-up at 6–8 weeks, and 39 (36%) at 6 months. Forty- six were included in a recently published PIMS- TS follow-up study by Penner and colleagues but without focus on renal parameters or subanalysis of AKI cases. 12 Of those reviewed at 6–8 weeks (n=50), 15 were from the AKI group (45%). None had macro- albuminuria (urine albumin/creatinine ratio (ACR) >30 mg/ mmol) or haematuria on urinalysis. Median urine ACR was 1.1 mg/mmol (IQR 0.7–1.8), retinol-binding protein (RBP)/creatinine ratios was 5.8 µg/mmol (IQR 4.6–7.9) and N- acetyl-β-D- glucosaminidase (NAG)/creatinine ratio was 11 U/mmol (IQR 7.8–14.5). None had sCr values >ULRI. Of those reviewed at 6 months (n=39), 12 were from the AKI group (36%). None had macroalbuminuria or haematuria. Median urine ACR was 4.6 mg/mmol (IQR 2.6–4.5). RBP/creatinine and NAG/creatinine ratios were not reassessed at this stage. All sCr values remained <ULRI. Eleven patients from the AKI cohort (92%) had clinic blood pressure (BP) measurements. One (9%) had a systolic BP between the 90th and 95th centile, and two (18%) had systolic measurements >95th centile.

DISCUSSION  Our experience with PIMS- TS demonstrates that kidney dysfunction is common. In total, 62% had a peak sCr >ULRI, and 30% developed AKI. AKI incidence in our cohort was greater than that in a multinational trial evaluating PICU admissions of all types. 13 Only 98 (89%) of our patients received PICU- level care so the

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comparative incidence of AKI was higher. sCr values peaked at the time of admission and rapidly improved during a hospital stay. Overall morbidity was worse in those with AKI, reflected by a greater need for PICU admission and longer PICU stay. Invasive respiratory support in the AKI group was more common, suggestive of more extensive multisystem inflammation with higher peak levels of acute-phase reactants. A greater requirement for inotropes fits with kidney dysfunction being exacerbated by fluid- refractory shock with a pre-renal ‘hit’. Those of black ethnicity made up a larger proportion of the AKI group (58%) compared with the non- AKI group (26%). However, the univariate analysis did not support an association between black ethnicity and AKI. Important considerations are that the definition of AKI in this study depends on ULRI values, rather than comparison against baseline sCr, and that those of black ethnicity are known to have higher baseline sCr compared with peers from other ethnicities. 14 This, therefore, risks bias towards including more subjects of black ethnicity within the AKI group.

There are known links between AKI and ethnic disparities, although the extent to which genetic, clinical and socioeconomic factors influence this relationship is unclear. 15 The pathophysiology of PIMS- TS is associated with immune system dysregulation that predominantly occurs after the acute infection has subsided, as evidenced by seropositivity in 95% of our cohort versus PCR positivity in only 30%. Why some CYP are predisposed to such an abnormal post-infectious immune response remains unclear. The immunophenotype of the disorder is distinct from that of other similar conditions, such as Kawasaki disease, as manifested by differences in cytokine release which may be secondary to impaired antigen presentation. 16 17 As with acute SARS- CoV- 2 infections, the pathogenesis of kidney dysfunction in PIMS- TS is likely multifactorial with an interplay of fluid- refractory hypovolaemic shock, cardiogenic shock and a hyperinflammatory response with release of factors that induce vascular endothelial damage and microvascular thrombosis. 18 None of our AKI cohort was felt to warrant

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a kidney biopsy thereby precluding histopathological under-standing of kidney involvement, and assessment as to whether renal immune-complex deposition occurs. Early evidence of nephritis in SARS- CoV- 2 infections may be a useful predictor for complications such as capillary leak syndrome and the need for respiratory support. 19 With relation to glomerular function, urine ACR values were higher in our AKI cohort. Urine tubular proteins RBP and NAG can act as markers of proximal tubular injury, 20 21 but we observed no difference in tubular proteinuria between groups although this was hindered by lack of assessment in 97 patients (88%).

Certain laboratory parameters were more likely to be elevated in those with AKI although it is difficult to differentiate whether these are prognosticators for kidney dysfunction, or whether they are elevated as a sequela of reduced GFR. D- dimers, for example, are proteins released by fibrinolysis, reflective of a hypercoagulable state. Renal dysfunction predisposes to hypercoagulability and D- dimer elimination occurs partly via the kidney. 22 As such, D- dimers are a non-specific marker of AKI and, furthermore, levels may be affected by confounding factors such as infection and liver dysfunction. It is unexpected that NT- proBNP should be significantly elevated in AKI while there was no echocardiographic discrepancy in the presence of myocardial dysfunction between AKI and non- AKI groups. However, LVEF alone is a crude marker of LV function and additional echocardiographic measurements, including markers of diastolic function, may have yielded a more sensitive assessment of LV dysfunction. 23 Our multivariate model demonstrated an independent association between triglyceride peak and odds of developing severe AKI. Triglycerides were chosen for this model as AKI is not known to be a cause for hypertriglyceridaemia. Severe hypertriglyceridaemia has been shown to exacerbate renal dysfunction, but only in the context of acute pancreatitis. 24 However, pancreatitis is not a distinguishing feature of PIMS- TS, and serum lipase or amylase was not routinely checked due to lack of clinical indication. Hypertriglyceridaemia is also seen in glomerular dysfunction associated with nephrotic syndrome. 25 Although the AKI group had higher urine ACR values, no patients had nephrotic-range proteinuria (>200 mg/mmol) to suggest extensive glomerular involvement. Unfortunately, triglyceride levels were not reassessed at the follow-up to establish whether normalisation occurred. If hypertriglyceridaemia resolves, it is hypothesised that triglycerides may act as an acute phase reactant in PIMS- TS whereby they are intrinsically linked with predisposition to developing AKI. If triglyceride levels do not normalise, then hypertriglyceridaemia may be an underlying risk factor for AKI in PIMS- TS, or for PIMS- TS itself. Of the other multivariate model parameters, non-white ethnicity was chosen due to a higher proportion of non-white individuals being present in the AKI group. Diarrhoea as a presenting symptom was included as this is a potential cause for pre-renal AKI but is not caused by reduced GFR itself.

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Most CYP will recover from PIMS- TS although deaths have been reported. 26 The first follow-up study of patients with PIMS- TS at 6 months indicates that cardiac and haematological outcomes are favourable but neurological functional impairment is common. 12 Our renal follow-up data are reassuring so far, with sustained normalisation of sCr and no evidence of persistent nephritis. Three patients had elevated systolic BP (>90th centile) at 6 months but these were automated clinic measurements that may have been impacted by factors including the white coat effect By 31 December 2020, the Alpha variant had replaced the wild-type virus in the UK, and was responsible for three- quarters of all new SARS- CoV- 2 cases. 27 This variant has since spread globally due to its increased transmissibility. 28 Our data suggest that the second wave experienced in the UK, presumed to be propagated by the Alpha variant, was not associated with increased renal pathogenicity in PIMS- TS cases compared with the first wave. Our study is limited by its single-centre retrospective design, the higher acuity of patients transferred to our centre due to its tertiary/quaternary nature, small numbers at follow- up and the lack of baseline sCr values to define AKI. There was the limited assessment of several parameters including interleukin- 6, RBP and NAG, and no follow-up of triglyceride levels.

CONCLUSIONS  Despite a high incidence of AKI in PIMS- TS, renal recovery occurs rapidly in the context of fluid resuscitation and available therapies. Both short and longer-term outcomes for those with AKI are favourable, without evidence of progression to chronic kidney disease. The significance of hypertriglyceridemia requires further assessment with follow-up to ensure normalisation of levels.

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