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. Author manuscript; available in PMC: 2015 Nov 19.
Published in final edited form as: Clin Gastroenterol Hepatol. 2015 Feb 24;13(9):1676–82.e1. doi: 10.1016/j.cgh.2015.02.024

Under-reporting and Poor Adherence to Monitoring Guidelines for Severe Cases of Isoniazid Hepatotoxicity

Paul H Hayashi 1, Robert J Fontana 2, Naga P Chalasani 3, Andrew A Stolz 4, Jay A Talwalker 5, Victor J Navarro 6, William M Lee 7, Timothy J Davern 8, David E Kleiner 9, Jiezhun Gu 10, Jay H Hoofnagle 11, for the U.S. DILIN Investigators
PMCID: PMC4653068  NIHMSID: NIHMS686798  PMID: 25724701

Abstract

Background & Aims

Isoniazid is a leading cause of liver injury but it is not clear how many cases are reported or how many clinicians adhere to American Thoracic Society (ATS) guidelines. We collected data on cases of isoniazid hepatotoxicity and assessed adherence to ATS guidelines and reports to the Center for Disease Control’s (CDC) isoniazid severe adverse events program.

Methods

We analyzed Drug Induced Liver Injury Network (DILIN) cases considered definite, highly likely, or probable for isoniazid injury from 2004 through 2013. We assessed the delays in isoniazid discontinuance according to ATS criteria and hepatotoxicity severity by Severity Index Score. We checked reporting to the CDC by matching cases based on age, latency, indication, reporting period, and comorbidities.

Results

Isoniazid was the second most commonly reported agent in the DILIN, with 69 cases; 60 met inclusion criteria. The median age of cases was 49 y (range 4–68 y), 70% were female, 97% had latent tuberculosis, and 62% were hospitalized. Patients took a median of 9 days to stop taking isoniazid (range 0–99 days). Thirty-three of cases (55%) continued taking isoniazid for more than 7 days after the ATS stopping criteria were met. Twenty-four cases (40%) continued isoniazid for more than 14 days after meeting stopping criteria. A delay in stopping was associated with more severe injury (P<.05). Of 13 patients who died or underwent liver transplantation, 9 (70%) continued taking isoniazid for >7 days after meeting stopping criteria. Only 1/25 cases of isoniazid hepatotoxicity eligible for reporting to the CDC were reported.

Conclusions

Poor adherence to ATS guidelines is common in cases of hepatotoxicity and is associated with more severe outcomes including hospitalization, death, and liver transplantation. Isoniazid continues to be a leading cause of DILI in the US, and its hepatotoxicity is significantly under-reported.

Keywords: adverse reaction, antibiotics, drug induced liver injury, hepatotoxicity, tuberculosis

INTRODUCTION

Hepatotoxicity from isoniazid (INH) was reported shortly after the drug’s introduction in the 1950’s.14 Elevation of serum ALT greater than 5 times ULN occurs in 3–5% of patients, and severe injury in less than 1%.5 The American Thoracic Society (ATS) recommends monitoring serum alanine aminotransferase (ALT) only in patients with pre-existing liver disorders or other risks for hepatotoxicity.6 Otherwise patients are instructed to stop their INH if they develop nausea, abdominal pain, jaundice or unexplained fatigue.6 If the serum ALT level is greater than 3 times upper limit of normal (ULN), INH should be stopped. If there are no symptoms, INH should be stopped only if the ALT is greater than 5 times ULN.

Though studies suggest a low incidence of severe hepatotoxicity7,8 under reporting is suspected. The Drug Induced Liver Injury Network (DILIN) is a multi-center study funded by the NIH to create a large registry of well-characterized cases of idiosyncratic DILI for clinical and translational studies. Amongst INH hepatotoxicity cases, we noted poor adherence to stopping guidelines with substantial delays in drug discontinuance. We quantified these delays and tested for association with severity of hepatotoxicity. The DILIN was initiated in 2004, the same year the CDC started a national project to capture severe adverse events (SAE) associated with INH given for latent TB.9 Therefore, we assessed completeness of reporting to the CDC by examining whether our cases appeared in the CDC report.

MATERIALS AND METHODS

Design

The design of the DILIN prospective and retrospective studies have been described.10 Patients suspected of having idiosyncratic drug induced liver injury (DILI) are enrolled within 6 months of liver injury for the prospective study. For the retrospective study, patients can be enrolled up to 10 years after the event for 7 agents one of which is isoniazid. Inclusion criteria include serum aspartate aminotransferase (AST) or alanine aminotransferase (ALT) greater than 5 times upper limit of normal (ULN) (or pretreatment baseline if abnormal) on 2 consecutive occasions, or alkaline phosphatase (AP) levels greater than 2 times ULN (or pretreatment baseline if abnormal) on 2 consecutive occasions. Patients with serum bilirubin greater than 2.5 mg/dL or INR greater than 1.5, and any elevation in AST, ALT, or AP, are also eligible. Subjects are followed for at least 6 months. Complete history, physical, past medical history, laboratory values, and imaging data are obtained. Severity of DILI is assessed semi-quantitatively using the DILIN Severity Index Score (SIS) (Table 1).

Table 1.

DILIN Severity Index Score

1 Mild Patient has elevations in serum aminotransferase or alkaline phosphatase levels but total bilirubin is < 2.5 mg/dL and there is no coagulopathy (INR <1.5).
2 Moderate Patient has elevations in serum aminotransferase or alkaline phosphatase levels and total bilirubin is ≥ 2.5 mg/dL or there is coagulopathy (INR ≥1.5) without hyperbilirubinemia.
3 Moderate-Hospitalized Patient has elevations in serum aminotransferase or alkaline phosphatase levels and total bilirubin is ≥ 2.5 mg/dL or INR >= 1.5 and the patient is hospitalized (or a pre-existing hospitalization is prolonged) because of the drug-induced liver injury.
4 Severe Patient has elevations in serum aminotransferase or alkaline phosphatase levels and total bilirubin is ≥ 2.5 mg/dL and there is at least one of the following:
  • signs of hepatic decompensation (INR ≥ 1.5, ascites, or encephalopathy), or

  • other organ failure believed to be associated with drug-induced liver injury event.

5 Fatal Patient dies or undergoes liver transplantation for drug-induced liver injury

Diagnosis of DILI (causality assessment)

DILIN uses a consensus expert opinion method of causality assessment previously described.10 Each case is evaluated by 3 DILIN hepatologists. Each independently assigns a causality score representing percent likelihood of attribution (1 = definite or > 95% likelihood, 2 = highly likely or 75–95%, 3 = probable or 50–74%, 4 = possible or 25–49%, and 5 = unlikely or < 25%). Consensus is reached by e-mail and conference call.

Participants

We identified INH cases enrolled by April 15, 2013. Analysis was limited to cases that were probable, highly likely or definite INH hepatotoxicity. Probable cases were included only if no other agent was implicated.

Data and Outcomes

Demographic, history and laboratory data were analyzed with special attention to onset of symptoms, onset of elevated liver enzymes, and drug stop date. Patient data included race, ethnicity, and education level. Primary language, country of birth, English speaking ability, literacy and recollection of instructions given were not recorded. The pattern of injury was categorized as hepatocellular, cholestatic, or mixed based upon the R-value: R-value = (serum ALT value/serum ALT ULN) ÷ (serum AP value/serum AP ULN). R-values greater than 5 are considered hepatocellular, less than 2 cholestatic, and 2–5 mixed. Standard descriptive statistics were used. Correlations between Severity Index Score, delay in stopping INH and clinical variables were performed using Chi-square, Fisher’s Exact, Median test, Mann-Whitney and Spearman’s rho correlation coefficient where appropriate.

Matching cases to the CDC SAE reporting program

The CDC reporting program published findings from 2004 through 2008.9 Therefore, we examined the 25 of our cases that were treated for latent TB and had occurrence of hepatotoxity from January 1, 2004 through December 31, 2008. We looked for these 25 cases in the CDC report by matching age (+/− 3 years), comorbidities, latency to injury (+/− 1 month), delay in stopping (+/−1 week), and outcome.

Role of Funding Source and Institutional Board Review (IRB)

The DILIN Network is structured as a U01 cooperative agreement with funds provided by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Separate IRB approvals were maintained at each DILIN center throughout the time period of this study.

RESULTS

Subjects

Among 1091 patients in the DILIN by April 15, 2013, INH was listed as a potential cause in 69 (6.5%), and 60 of these met our current study inclusion criteria. INH was second only to amoxicillin-clavulanate as a causative medication. Of these 60 patients, 42 (70%) were women (Table 2). The median age was 49 years (range 4–68). Almost all (97%) were prescribed INH for latent TB infection. Four patients were under 18 (range 4–17). All were given INH for latent infection. Jaundice, nausea and abdominal pain were frequent presenting symptoms. Seven (12%) had chronic hepatitis C, but there were no other liver disorders identified.

Table 2.

Characteristics of INH Liver Injury Patients (n = 60)

Age in yrs., median (min., max.) 49 (4, 68)
Gender 42 women (70%)
Body Mass Index, kg/m2, mean (S.D.) 27.1 (5.5)
Race (self-report)
 White 34 (57%)
 Black/African American 13 (22%)
 Other* 13 (22%)
Ethnicity = Latino 15 (25%)
Indication for INH use
 Latent TB 56 (97%)
 Exposure to TB infected person 1 (2%)
 Active TB 1 (2%)
Concurrent alcohol use^ 22 (37%)
Concurrent liver disease
 Hepatitis C, chronic 7 (12%)
 Hepatitis B 0 (0%)
 Non-alcoholic fatty liver disease 0 (0%)
 Cirrhosis 0 (0%)
Latencies, mean days (S.D.)
 INH start to symptoms 85.7 (56.1)
 INH start to DILI onset|| 103.4 (59.5)
Signs and symptoms
 Jaundice 42 (70%)
 Nausea 32 (53%)
 Fever 9 (15%)
 Abdominal pain 27 (45%)
 Rash 8 (13%)
 Pruritus 17 (18%)
DILIN Causality scores
 1: Definite 29 (48%)
 2: Highly likely 23 (38%)
 3: Probable (single agent cases) 8 (13%)
Peak liver biochemistries (mean, std.dev.)
 ALT (IU/L) 1384 (864)
 AST (IU/L) 1467 (1137)
 AP (IU/L) 279 (159)
 Bilirubin (mg/dL) 12 (11.6)
INR 2 (4.3)
*

Pacific islander, Asia subcontinent, East Asia, unstated/unknown

^

At least one alcohol beverage in last 12 months

||

ALT >5x ULN or AP >2x ULN on two consecutive tests

Diagnostic/Causality Scoring

Nine patients were excluded because of low likelihood of INH hepatotoxicity. In two, INH was the only agent implicated, but each patient scored only a 4 (possible). The other 7 involved other medications along with INH and the INH scored only a 3 (probable) or 4 (possible). Of the 60 meeting inclusion criteria, 18 had enrolled into retrospective study and 42 into the prospective study. Twenty-nine (48%) were considered definite (score 1) and 23 (38%) highly likely (score 2), and 8 (13%) probable (score 3) with only INH involved. In 5 patients, six other agents (rifampin, anakinra, Hydroxycut®, fenofibrate, topiramate, leflunomide) were considered as potentially causal. All these competing agents were considered less likely than INH to be causal, and INH scored either a 2 (highly likely) or 1 (definite) in each of these multi-drug cases.

Retrospective vs. Prospective Cases

There were no statistically significant differences between the 18 retrospectively and the 42 prospectively enrolled patients in terms of age, gender, peak liver enzymes, peak bilirubin, or time from INH start to symptoms. Retrospective patients tended to be more severe with 6 (33%) undergoing liver transplantation and/or dying compared to only 7 (17%) for the prospective patients, p = 0.09.

Pattern of Injury

Patterns of liver injury at presentation were predominantly hepatocellular with 55 (92%) of patients having an R-value > 5. Four patients (7%) had a mixed pattern (R-value 2–5). No patients had a cholestatic pattern (R-value < 2). One patient did not have an alkaline phosphatase drawn at presentation so no R-value could be calculated, but the ALT was 2232 U/L. The mean days from INH initiation to elevated ALT was 97 (standard deviation [S.D.] 64). Mean days to an ALT level 5 times the ULN was 103 (S.D. 59). The mean time from DILI onset to peak ALT was short (6.6 days, S.D. 9). Decline in ALT to 50% or less of peak value took a mean of 38 days (S.D. 66.7) but the data were skewed with median being only 13 days. It took a mean of 200 days (S.D. 348) for the ALT to fall from peak to normal.

Severity of Injury

Distribution of DILIN Severity Index Scores is shown in Figure 1. Twelve patients required liver transplant and one of these ultimately died. Another died without transplant. Thirty-seven patients (62%) required hospitalization and 14 (23%) developed encephalopathy. Mean peak ALT, bilirubin and INR were 1385 IU/L (S.D. 864), 12.7 mg/dL (S.D. 11.6) and 2.6 (S.D. 4.3) respectively.

Figure 1.

Figure 1

Distribution of 60 INH hepatotoxicity patients by Severity Index Scores (SIS). (SIS 1 = Mild, SIS 2 = Moderate, SIS 3 = Moderate-Hospitalized, SIS 4 = Severe, SIS 5 = Fatal).

Delay in Discontinuance of INH and Severity of Injury

Median delay between meeting ATS stopping criteria and discontinuance was 9 days, with skewing toward longer delays (mean 17.9, S.D. 23.8, range 0 – 99 days). Only 27 (45%) patients stopped within 7 days of meeting criteria, and 24 (40%) kept taking their INH for more than 14 days. (Figure 2) Nine patients (15%) took the INH for > 28 days beyond reaching stopping criteria, and 6 of these kept taking the INH for >60 days. The delays primarily occurred in patients who developed symptoms but did not hold the INH until much later when the patient sought medical attention. In contrast, the median delay after elevated ALT criteria being met was 0 days with a mean of 3.2 days (S.D. 13.2, range 0–99 days). However the delays even after ALT criteria being documented were also skewed with some remarkable continuances of INH for 8, 10, 18, 20 and 99 days. Based on symptoms alone, the median and mean delays were 14 and 20 days.

Figure 2.

Figure 2

Distribution of delay in stopping INH after stopping rules of the American Thoracic Society guidelines had been met. (n = 60)

Longer delays in stopping INH correlated with higher DILIN Severity Index Score (SIS) (p = 0.05, Spearman’s rho). One remarkable patient developed hepatic tolerance where serum ALT reached >1000 U/L but the provider allowed the INH to continue for more than 3 months. The ALT fell while still on INH and there was only mild injury (SIS 1). If this patient is excluded as a rare outlier, correlation between delay and SIS was even stronger (p = 0.02). Of the 27 patients who stopped INH within 7 days of meeting stopping criteria, 6 (22%) had a severe or fatal reaction (SIS 4 or 5), and of the 33 who continued the INH for more than a week, 16 (49%) had a severe or fatal course. Conversely, 5 (36%) of the 14 patients with mild injury (SIS 1) compared to 16 (73%) of the 22 with severe or fatal injury (SIS = 4–5) continued the INH for more than a week after meeting stopping criteria. Higher BMI also correlated with increased SIS (p=0.02). Older age, race, ethnicity, education level and gender did not correlate with severity.

Chronic hepatitis C (CHC) was present in 7 (12%) (Table 2). These cases tended to have fewer severe or fatal DILIs compared to non-CHC cases, but the difference did not reach statistical significance [1 of 7 vs. 19 of 53, p = 0.20]. However, the median delay in stopping INH was statistically shorter for those with CHC compared to non-CHC cases (0 vs. 12 days, p = 0.03). Only 2 of the CHC cases stopped based on elevated liver enzymes alone, while 2 stopped when both symptoms and elevated enzymes were discovered on the same day and 3 stopped for only symptoms with elevated enzymes found several days later. The one fatal case with CHC had cirrhosis and hepatocellular carcinoma already.

There was no correlation between delay and age, gender, race, ethnicity, education level, or indication for INH therapy (latent versus active TB infection). Of the 4 children, a 17 year old delayed stopping her INH by 15 days and required transplant. The other 3 had mild (SIS =1) or moderate (SIS = 2) injuries with delays in stopping of 0 to 29 days.

Matching Cases in the CDC Reporting Program

The CDC report obtained clinical details on only 10 of their 17 cases reported from 2004 through 2008.9 Of the 25 DILIN cases that should have been reported to the CDC program during this period, only 1 appeared to be among the 10 CDC cases with detailed clinical history based on matched age, duration of therapy, delay in stopping INH, comorbidities (depression) and outcome (transplanted). For this one case, the matching of data was nearly perfect. The other 9 CDC cases differed widely in age, outcome, latency and/or comorbidities from the other 24 DILIN cases, making them very unlikely to be any of our cases.

DISCUSSION

Approximately 300,000 people in the U.S. are treated for latent TB each year and another 10,000 are treated for active infection.11,12 American Thoracic Society (ATS) guidelines to prevent liver injury rely heavily on patient self-identification of symptoms.6 Patients are instructed to stop taking INH for symptoms of hepatitis and seek medical attention. Our data suggest that poor adherence to these guidelines is common in patients with INH hepatotoxicity and leads to more severe injury. Of those that died or needed transplantation, 70% had continued the INH for a week or more after meeting stopping criteria. Therefore many of the severe injuries may have been avoided. Our data also raises concerns for under reporting and under estimation of risk.

The prolonged use of INH in our 60 patients was substantial with over half taking the INH more than 1 week beyond stopping criteria and 40% more than 2 weeks (Figure 2). Almost all (97%) of the patients in our study were treated for latent TB and one fifth required liver transplantation and/or died. The vast majority of delays occurred because patients ignored symptoms (even jaundice), but occasionally providers also failed to recognize symptoms or elevated transaminases. Four patients continued INH for over a week after serum ALT exceeded stopping levels. Delay correlated with injury severity including need for hospitalization and fatality.

Surveillance by self-identification of symptoms is appealing because patients are empowered to stop the INH without waiting to see a provider. However inadequate patient instruction or comprehension may be undermining effectiveness for a small but important subset of patients. Such delay in stopping INH has been reported in two smaller case series over the last 20 years.9,13 Clear stopping criteria were published in 2006,6 but our data suggest delays continue to cause severe hepatotoxicity. There is no lower age limit for latent TB treatment.14 Thus children deserve special consideration because they may not identify symptoms as readily as adults. One child in our study needed transplantation after continuing INH for 15 days beyond stopping criteria.

The 7 patients with concurrent chronic hepatitis C (CHC) tended to have less severe injury and significantly less delay in stopping. Adherence to guidelines which includes monitoring of liver biochemistries seems better in those with chronic liver disease. In fact, the median delay in discontinuance for the CHC patients was 0 days. DILI was detected by symptoms as often as by lab abnormalities, suggesting that these patients were more vigilant of their symptoms.

Treating latent TB has been a marked success.8,15 Deaths due to TB have fallen since 1988 to an all-time low of 0.2/100,000 in 2009.16 However, INH remains the most common cause of idiosyncratic DILI leading to liver transplantation nationwide.17 It is the second most common agent implicated in the DILIN despite under reporting. In 2004, the CDC began a national reporting project of SAE’s associated with latent TB therapy.9 From 2004 through 2008, only 17 cases of INH hepatotoxicity were reported. Twenty-five of our 60 case should have been recorded with the CDC, but only 1 was reported. The CDC report had clinical details on only 10 of 17 cases. Even if all 7 remaining CDC cases lacking clinical details were in the DILIN cohort, then, at most, 8 of 25 (32%) of our cases may have been reported. Moreover, the 8 DILIN sites represent only 9% of U.S. liver transplant centers. Non-transplant centers probably care for many more unreported INH hepatotoxicity patients that do not need or qualify for transplantation. Thus under-reporting of INH hepatotoxicity is assuredly substantial. DILI, in general, may be more common than previously estimated according to pharmacoepidemiologic results from Iceland where data on prescriptions and hepatotoxicity are robust.18 A meaningful incidence for INH was not available in this study because INH is uncommonly prescribed in Iceland.

Our study is subject to recall bias by patients reporting symptom start dates. However, this bias would tend to underestimate delay in stopping because of regrets or embarrassment about ignoring symptoms. Reporting bias toward more severe cases is another limitation. We do not capture mild injury cases where guidelines were followed. Therefore, the minority of significant hepatotoxicity cases is small compared to the large number who are safely treated. However, these cases of hepatotoxicity must not be summarily dismissed as an unavoidable cost to treating the overall latent TB population either. Many of the life threatening injures in our registry may have been easily prevented with better provider-to-patient education.

We found no correlation between delay in stopping and age, gender, race, ethnicity or education level. However, we did not collect data on health care providers, quality of patient instruction, patient primary language, health care literacy, or cultural barriers. These data are critical to assessing compliance especially in the latent TB population. The clinician must strike a difficult balance between convincing asymptomatic patients to take the INH, while also warning them of hepatotoxicity risk. A complete behavioral model addressing compliance is beyond the scope of our data, but the DILIN draws attention to this group of harmed patients who otherwise may continue to be overlooked.

For now, there are measures to improve compliance that should be considered. There are no data on directly observed therapy (DOT) and hepatotoxicity avoidance, but piggybacking a review of systems onto DOT might be cost effective. DOT of INH for 3–9 months is already a recommended option for latent TB.12 Unfortunately we did not record DOT information. Finger-stick technology for point-of-care ALT measurement could also be effective.19 Over half the U.S. population own smartphones, so automated texting to remind patients of stopping rules may be feasible.20,21 Such interventions could result in substantial cost savings by avoiding hospitalizations, intensive care, and transplants.

Our study also highlights the limitations symptoms and ALT monitoring. Of the 13 fatal or transplanted patients, 4 (31%) stopped INH quickly (within 7 days of meeting criteria). Conversely, two patients continued INH for more than 3 weeks yet had mild injury. One had remarkable adaptation with the ALT peaking over 1000 U/L only to fall despite continuing the INH. Such adaptation to INH injury has been described, but is quite rare with such severe ALT elevation.2225 In 1976, Mitchell and colleagues concluded that ALT alone could not predict serious liver injury with complete accuracy.25 A better diagnostic test is overdue.

Current monitoring guidelines are successful for the vast majority of patients treated for latent TB and there is no arguing the public health success of treatment programs. However our registry draws attention to an important minority of latent TB patients who are harmed by suboptimal adherence and prolonged drug exposure. Underreporting is common, so the true incidence of such cases is significantly larger than currently captured. Failures to avoid such severe iatrogenic injury are particularly difficult to countenance when the latent TB patient was otherwise healthy prior to therapy and simply needed better education, reminders or monitoring.

Acknowledgments

Funding: The DILIN Network is structured as a U01 cooperative agreement with funds provided by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) under grants: 2U01-DK065176-06 (Duke), 2U01-DK065201-06 (UNC), 2U01-DK065184-06 (Michigan), 2U01-DK065211-06 (Indiana), 5U01DK065193-04 (UConn), 5U01-DK065238-08 (UCSF/CPMC), 1U01-DK083023-01 (UTSW), 1U01-DK083027-01 (TJH/UPenn), 1U01-DK082992-01 (Mayo), 1U01-DK083020-01 (USC). Additional funding is provided by CTSA grants: UL1 RR025761 (Indiana), UL1 RR025747 (UNC), UL1 RR024134 (UPenn), UL1 RR024986 (Michigan), UL1 RR024982 (UTSW), UL1 RR024150 (Mayo) and in part by the Intramural Research Program of the NIH, National Cancer Institute.

Abbreviations

ALT

alanine aminotransferase

AP

Alkaline phosphatase

AST

aspartate aminotransferase

ATS

American Thoracic Society

CDC

Center for Disease Control

CHC

chronic hepatitis C

DILI

drug-induced liver injury

DILIN

Drug-induced Liver Injury Network

DOT

directly observed therapy

INH

isoniazid

NIH

National Institutes of Health

SAE

severe adverse event

SIS

Severity Index Score

S.D

standard deviation

TB

tuberculosis

ULN

upper limit of normal

UNOS

United Network for Organ Sharing

Footnotes

Disclosures: PH Hayashi: No relevant disclosures or conflicts of interest; RJ Fontana: Consultant GSK, Tibotec, Vertex, Gilead; N Chalasani: Consultant Merck, Abbvie, Aegerion, Salix, BMS, Lilly; AS Stolz: No relevant disclosures or conflicts of interest; JA Talwalkar: No relevant disclosures or conflicts of interest; VJ Navarro: No relevant disclosures or conflicts of interest; TJ Davern: No relevant disclosures or conflicts of interest; DE Kleiner: No relevant disclosures or conflicts of interest; J Gu: No relevant disclosures or conflicts of interest; JH Hoofnagle: No relevant disclosures or conflicts of interest.

Writing Assistance: No writing assistance beyond the authors listed.

Author contributions:

Concept and design: PHH, JHH, RFJ, NPC

Acquisition of data: PHH, RJF, NPC, AAS, JAT, VJN, WML, TJD, DEK

Analysis and interpretation: PHH, JG, DEK, JHH, RJF

Drafting of the manuscript: PHH, JHH

Critical revision of the manuscript for important intellectual content: PHH, RJF, NPC, AAS, JAT, VJN, WML, TJD, DEK, JHH

Statistical analysis: JG, PHH

Obtaining funding: PHH, RJF, NPC, AAS, VJN, WML, TJD, JHH

Administrative, technical, material support: JG

Study supervision: JHH

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