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Abdominal symptoms in cystic fibrosis and their relation to genotype, history, clinical and laboratory findings

Abdominal symptoms in cystic fibrosis and their relation to genotype, history, clinical and laboratory findings

  • Harold Tabori, 
  • Christin Arnold, 
  • Anke Jaudszus, 
  • Hans-Joachim Mentzel, 
  • Diane M. Renz, 
  • Steffen Reinsch, 
  • Michael Lorenz, 
  • Ruth Michl, 
  • Andrea Gerber, 
  • Thomas Lehmann
PLOS
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Abstract

Background & aims

Abdominal symptoms (AS) are a hallmark of the multiorgan-disease cystic fibrosis (CF). However, the abdominal involvement in CF is insufficiently understood and, compared to the pulmonary manifestation, still receives little scientific attention. Aims were to assess and quantify AS and to relate them to laboratory parameters, clinical findings, and medical history.

Methods

A total of 131 patients with CF of all ages were assessed with a new CF-specific questionnaire (JenAbdomen-CF score 1.0) on abdominal pain and non-pain symptoms, disorders of appetite, eating, and bowel movements as well as symptom-related quality of life. Results were metrically dimensioned and related to abdominal manifestations, history of surgery, P. aeruginosa and S. aureus colonization, genotype, liver enzymes, antibiotic therapy, lung function, and nutritional status.

Results

AS during the preceding 3 months were reported by all of our patients. Most common were lack of appetite (130/131) and loss of taste (119/131) followed by abdominal pain (104/131), flatulence (102/131), and distention (83/131). Significantly increased AS were found in patients with history of rectal prolapse (p = 0.013), distal intestinal obstruction syndrome (p = 0.013), laparotomy (p = 0.022), meconium ileus (p = 0.037), pancreas insufficiency (p = 0.042), or small bowel resection (p = 0.048) as well as in patients who have been intermittently colonized with P. aeruginosa (p = 0.006) compared to patients without history of these events. In contrast, no statistically significant associations were found to CF-associated liver disease, chronic pathogen colonization, lung function, CF-related diabetes, and nutritional status.

Conclusion

As the complex abdominal involvement in CF is still not fully understood, the assessment of the common AS is of major interest. In this regard, symptom questionnaires like the herein presented are meaningful and practical tools facilitating a wider understanding of the abdominal symptoms in CF. Furthermore, they render to evaluate possible abdominal effects of novel modulators of the underlying cystic fibrosis transmembrane (conductance) regulator (CFTR) defect.

Introduction

Cystic fibrosis (CF) is the most common life threatening autosomal recessive disorder caused by mutations in the cystic fibrosis transmembrane (conductance) regulator (CFTR) gene. The CFTR protein, which is essential in the regulation of chloride and sodium transport in epithelial cells [1], is highly expressed on the apical surface of intestinal epithelial cells, pancreatic ductal cells, and cholangiocytes in bile ducts which in the healthy transport ions, bicarbonate and fluid to the organs' lumen [2]. Thus, CFTR dysfunction results in viscous luminal secretions obstructing the bile and pancreatic ducts as well as the intestine [3]. The resulting gastrointestinal (GI) manifestations include pancreatic insufficiency (PI), meconium ileus (MI), distal intestinal obstruction syndrome (DIOS), and biliary tract complications which can lead to cirrhosis and hepatic failure [4]. Typical resulting GI symptoms are frequent and voluminous greasy stools, flatulence, abdominal bloating, constipation, abdominal pain, an impaired nutritional status, as well as failure to thrive. Even though GI symptoms are a hallmark of CF [57], often leading to diagnosis of the inherited disease, they are still insufficiently understood for why deeper investigations into the abdominal involvement in CF are needed [2]. Moreover, with enhanced survival due to improved therapeutic options and patient management, comorbidities of the GI, hepatobiliary, and pancreatic tract are of increasing clinical and scientific interest. However, because of the complex interaction of a variety of dysfunctioning organs, medicinal effects, and even psychosocial factors (Fig 1), the differentiation of the multitude of abdominal symptoms constitutes a major challenge.

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Fig 1. Multifactorial causes of abdominal symptoms in CF.

CFLD–CF-associated liver disease, CFRD–CF-related diabetes, DIOS–distal intestinal obstruction syndrome, GERD–gastroesophageal reflux disease, MI–meconium ileus, PI–pancreatic insufficiency.

https://doi.org/10.1371/journal.pone.0174463.g001

Interestingly, previous studies assessing the general symptom of pain in CF indicate that its most common location was the abdomen [811]. Nevertheless, most of these studies did not differentiate abdominal pain e.g. regarding frequency, intensity and location, and thus failed to specify the origin of GI symptomatology and its clinical associations. In a recent systematic review, 16 studies investigating pain in CF were evaluated [12]. Eight of them reported occurrences of abdominal pain in CF, with a high variance ranging between 21% and 60% of the assessed CF patients, while only few studies measured pain intensity. This mostly was not specific for the abdominal region and based on single items scales (e.g. a numerical rating scale). It has been recognized that abdominal symptoms relevantly impair health related quality of life (HRQoL) by affecting CF patients' daily activities as well as their emotional, social and physical functioning [13]. Yet, only one study focused on reporting prevalence of recurrent abdominal pain in CF [14].

Recent developments of small molecules that potentiate or correct defective CFTR protein function entail a need to assess changes in abdominal involvement by the new systemic treatment. Most interestingly, in some mutations (e.g. G551D) CFTR modulators even allow restoration of pancreatic function in some patients [15,16] and they procured a trend towards normalization of sweat tests [17,18]. Besides outcome measures acquired by laboratory, radiological and electrophysiological methods, the Food and Drug Administration (FDA) encourages the usage of patient reported outcome measures (PROM) such as symptom questionnaires as supportive tools or even endpoint measures in clinical trials and offers guidance for their development [19].

Aim of the present study was to obtain structured and detailed information on GI involvement and symptoms with a new pilot score specifically designed for assessment of abdominal involvement in CF patients (JenAbdomen-CF Score 1.0) and relate results to clinical and laboratory findings, history, and CFTR genotype.

Materials and methods

Ethical statement

This study has been conducted in strict accordance with the ethical guidelines in the Declaration of Helsinki and it was approved by the Jena University ethics committee (registration number 4458-06/15). All patients aged ≥18 y and parents of minors provided written informed consent.

Patients

The prospective study was performed including CF patients of all ages at the Jena University Hospital CF Center. Inclusion criteria were: (1) a diagnosis of CF determined by a sweat chloride of >60 mEq/L and/or (2) detection of 2 disease causing CFTR mutations with evidence of organ involvement.

Evaluation of the score

The novel JenAbdomen-CF Score 1.0 was designed considering the recommendations given by the FDA for development of a PROM [19] including in-depth interviews with patients, literature reviews, and physician expert opinions. During routine presentation in our outpatient clinic, patients and/or the guardians completed a questionnaire consisting of 17 items (Fig 2, S1 Table) to measure the GI symptoms during the previous three months grouped into the following four domains:

  1. abdominal pain,
  2. non-pain symptoms,
  3. subjective evaluation of the feces' frequency, form and color, and
  4. disorders of eating and appetite.
  1. The abdominal pain domain consists of three items which assess frequency, intensity, and duration of abdominal pain. In addition, one item regarding the intensity of pain during bowel movements was evaluated. Pain frequency was measured using a Likert-type scale [20], with six response options ranging from `never´ (0pts) to `daily´ (5pts). Pain intensity was assessed using a well-validated Visual Analogue Scale (VAS) [21], which consists of an 11-point scale ranging from 0 to 10 with a series of six emotion expressing faces anchored at either end by `no pain´ (0pts) to `worst pain ever´ (5pts; 2 VAS steps each). The duration of experienced abdominal pain was assessed by offering six options ranging from `0 minutes´ (0pts) to `more than 360 minutes´ (5pts). In addition, we asked for the location, aggravating and alleviating factors, coping strategies, radiation, onset and quality of abdominal pain. Location of the abdominal pain was marked on a well-validated body outline adapted from Savedra et al. [22] displaying an anterior and posterior view of the abdomen. Coding of body location was conducted using the nine quadrants of abdomen including: hypochondriac (right and left); epigastric; lumbar (right and left); umbilical; iliac (right and left) and hypogastric regions. Cut-off points for mild (VAS <3), moderate (VAS 3–5) and severe (VAS ≥5) abdominal pain was given according to Kainzwaldner et al. [23].
  2. The non-pain symptoms consist of 8 items which include flatulence, abdominal distention, constipation, nausea, vomiting, heartburn, fatty stools, and reflux of stomach content. Each symptom was measured with a 6-point rating scale anchored at either end by `not at all´ (0pts) to `always´ (5pts) at the other end, except for fatty stools that was assessed by a binary response: `no´ (0pts) and `yes´ (5pts).
  3. The consistency of stool (one item) was evaluated using an adaptation of the well-validated Bristol Stool Form Scale [24,25] classified into seven types (type 1–2 = hard; type 3–4 = formed; type 5–7 = soft). Zero points were given for this item by a formed stool consistency; 1 point for a hard stool consistency; 3 points for both hard and soft stool consistency and 5 points for a soft stool consistency. The patient’s stool color (one item) was assessed using a modified Stool Color Card for the screening of biliary atresia by addition of five from brown to black, tarry stool colors adapted from Gu et al. [26] with 12 consecutive pictures ranging from pale to tarry stools (1–3 = pale; 4–11 = normal; 12 = tarry). For this scoring, 0 points were given for a normal color, 5 points for a pale color and 3 points for a tarry color.
  4. Disorders of eating and appetite were assessed questioning the following three items: lack of appetite, loss of taste, and need for a forced feeding (by the patient himself or by others). The first two items were measured on a 6-point rating scale anchored at either end by `not at all´ (0pts) to `always´ (5pts), respectively. The last item was evaluated by a binary response: `no´ (0pts) and `yes´ (5pts). A total of 17 items were evaluated so that the sum of obtained points could range from 0 to 85 points with higher rates for increasing severity of GI symptoms. Abdomen scores were compared with each other and gastrointestinal CF manifestations, history of surgery, the nutritional status, CFTR genotype, liver function test (LFT) including alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase (GGT), total bilirubin (BIL), and alkaline phosphatase (ALP), adherence to pancreas enzyme intake (self-reported), antibiotic therapy, weight (ΔWtP), height (ΔHtP) and BMI (ΔBMIP) percentiles changes in the previous 3, 12, and 24 months for patients <18 yrs and ΔBMI in the previous 3, 12, and 24 months in adults, lung function including FEV1%, and airway colonization with P. aeruginosa (PsA) and/or S. aureus (SA).
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Fig 2. Pain and non-pain symptoms of the JenAbdomen-CF Score 1.0.

*to some extend additionally related to pain symptoms.

https://doi.org/10.1371/journal.pone.0174463.g002

Classification of CFTR genotype

The recently established pancreatic insufficiency prevalence (PIP) scores [27] were used to measure the severity of specific CFTR mutations in regard to pancreatic function. The PIP score is calculated as the proportion of PI among all patients (PI and non-PI) carrying the same CF-causing mutation in a homozygous or in a heterozygous state, in the latter case considering the lower PIP value for both alleles. The term `genotype´ therefore refers to the combination of CFTR mutations on both alleles, accounting for the milder of both alleles for characterization of the PIP score [28]. According to the Canadian Consortium for CF Genetic Studies (CCCFGS), CF mutations are classified as `mild´ regarding pancreatic involvement when PIP is ≤0.25 and as `moderate-severe´ when PIP is >0.25. The patients carrying at least one mutation not reported from Ooi that could not be attributed to a specific PIP score were excluded from the genotype analysis (15/131 patients in the Jena CF center).

Measures of clinical data

Demographic, clinical, and laboratory data were obtained from the charts. Nutritional failure was defined according to the 2002 Cystic Fibrosis Foundation (CFF) criteria [29]. Specifically, weight-for-height percentile (WHp) <10th for ages 0–2 y, or body mass index percentile (BMIp) <10th for ages 2–20 y were used to identify underweight. BMI was calculated as [weight in kilograms/(height in meters)2]. Age- and gender-specific percentiles for BMI (BMIp), weight (Wtp) and height (Htp) were classified according to the longitudinal local anthropomorphic data from Jena obtained by Krohmeyer-Hauschild [30]. Changes in Wtp, Htp and BMIp were calculated by subtracting baseline from values in the previous 3, 12, and 24 months, thus a negative value corresponded to a decrease in Wtp, Htp, and BMIp and a positive value to an increase of those. A potentially clinically significant (PCS) LFT elevation was defined as ALT/AST/GGT >3× upper limit of normal (ULN) or BIL/ALP >2× ULN. CF-associated liver disease (CFLD) was defined according to recently published guidelines for the diagnosis and management of CFLD [31]. Pulmonary disease severity was divided into three groups accounting FEV1 ≥70 percent of predicted (pp) as `mild´ disease, FEV1 40–69 pp as `moderate´ disease, and FEV1 ≤39 pp as `severely advanced´ lung disease. This established classification has been adopted internationally as a categorization of disease severity for CF [3234]. Status of PsA and SA colonization were defined according to Leeds criteria [35].

Data analysis

Statistical analyses were performed with SPSS, Version 23.0 (IBM Corp. 2015, Version 23.0. Inc., Armonk, NY, USA). Normal distribution of the data was tested using the Kolmogorov-Smirnov (K-S) test. Parametric tests were used to compare means between two independent samples (two-tailed Student t-Test) or more than two groups (ANOVA), when the samples were normally distributed. When criteria for normal distribution were not met, nonparametric tests were chosen to detect statistical difference in means of two independent samples (Mann-Whitney U test) or more than two groups (Kruskal-Wallis test). Nominal data were compared with Chi-square test or Fisher’s exact tests, as appropriate. Correlations between variables were examined using the Pearson’s correlation coefficient, the Spearman’s rank correlation coefficient and the mean square contingency coefficient, as appropriate. Data are given as means ± SD. A p-value ≤0.05 indicated a significant difference or correlation.

Results

Baseline characteristics of the total study cohort

Between April 2015 and December 2015 a total of 131 CF patients attended in the Jena University CF center were included into the prospective study. The mean age was 19.1±14.2 years. Mean FEV1 was 84%predicted and 31 patients (24%) had CF-related diabetes, of whom 14 (45%) were insulin dependent. CF diagnosis most frequently was established on the basis of either predominant GI or respiratory symptoms, whereby 24% of the patients presented a combination of symptoms. CFTR gene mutations were identified on both alleles in all patients. The most common CFTR mutation in the German population, F508del, was detected in 117/131 (89%) of the included CF patients, with 56 (43%) being homozygous for this CFTR defect. G551D was detected in 17 patients (13%). Further characteristics of CF patients are presented in Table 1 and in S1 Table.

JenAbdomen-CF Score 1.0

Abdominal symptoms.

Abdominal symptoms during the previous three months were reported from all CF patients. Most common were lack of appetite (99%) and loss of taste (91%; Table 2) followed by abdominal pain (79%), flatulence (78%), and abdominal distention (63%; Fig 3A, Table 2). Interestingly, children reported to have more abdominal pain than adults (87% vs. 70%; p = 0.022), while adults more frequently reported abdominal distention (79% vs. 51%; p = 0.001) and heartburn (61% vs. 22%; p<0.001; Fig 3B). 11% of patients admitted they forgot to take pancreas enzyme at least once a week. These patients did not report significantly more GI symptoms than patients who had good adherence to treatment (21.7 vs. 19.6 score points; p = 0.280).

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Fig 3. Abdominal symptoms in patients with CF.

Frequencies of abdominal symptoms in CF patients of all ages (Fig 3a) and in children compared with adults (Fig 3b). N.d.–not determined (missing data).

https://doi.org/10.1371/journal.pone.0174463.g003

Abdominal pain.

The most frequent locations of abdominal pain were the umbilical (83%) and epigastric regions (11%), and 8% of patients reported a radiation of pain to the dorsum (Fig 4). More than one pain location was reported by 28%. Pain intensity on the visual analogue scale (VAS) resulted in a mean of 3.4 of maximally 10 points (SD: 2.3). Of these patients, 7% had mild- (VAS: 1-3pts), 43% moderate- (VAS: 4-5pts), and 30% severe pain (VAS: ≥5pts). Thereby, 34% reported a frequency of abdominal pain occurring `at least once a week´ (Table 3). Most common quality of abdominal pain experienced were `pulling´ (42%), `colicky´ (41%) and `sharp´ (28%). 49% of patients described abdominal pain lasting `less than 45 minutes´ and a small subgroup of patients (8%) lasting `five hours´ or `longer´. It appeared more frequently `during meals´ (35%), `before bowel movements´ (34%), and `during stressful events´ (12%). Interestingly, a small subgroup of patients (3%) reported that pain is relieved `after antibiotics administration´ and 10% reported amelioration by `bowel movements´.

The percentage of missing item responses on the abdomen score was 4.8%. Abdomen scores were non-normally distributed (different sizes of subgroups, e.g., PI and PS) with a mean/median (range) of 19.3/18.0 (3–46). Altogether, female patients revealed slightly higher abdomen scores than males (20.4 vs. 18.0; p = 0.139). Moreover, no significant difference was observed among age subgroups (<18 y: 19.7 vs. ≥18 y: 18.9; p = 0.385). In contrast, significantly increased AS were found in patients with history of rectal prolapse (p = 0.013), distal intestinal obstruction syndrome (p = 0.013), laparotomy (p = 0.022), meconium ileus (p = 0.037), pancreatic insufficiency (p = 0.042), or small bowel resection (p = 0.048) as well as in patients who have been intermittently colonized with PsA (p = 0.006) compared to patients without history of these events (Fig 5). For appendectomy, a strong trend was seen (p = 0.053; Fig 5).

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Fig 5. JenAbdomen-CF Score 1.0 of patients presenting indicated abdominal manifestations and complications of surgery in comparison with patients without history of these events (Ø).

Int PsA–intermittently colonized with P. aeruginosa, chr PsA–chronically colonized with P. aeruginosa. Means ± SEM.

https://doi.org/10.1371/journal.pone.0174463.g005

CFTR genotype.

Patients who carry mild genotypes (PIP score ≤0.25) had significantly lower rates for GI symptoms compared to those with severe mutations (PIP score >0.25) (11.0 vs. 19.6; p = 0.042). In addition, patients with a G551D mutation on at least one allele had significantly lower JenAbdomen-CF Scores 1.0 compared to patients without this mutation (15.6 vs. 19.9; p = 0.020). Of these patients, 59% (10/17) were treated with ivacaftor (Fig 6).

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Fig 6. JenAbdomen-CF Score 1.0 in relation to genotype.

Left: Scores obtained from `mild´ (PIP≤0.25) compared to `moderate-severe´ (PIP>0.25) genotypes. Right: Scores of patients carrying the G551D mutation compared to those without this mutation. Of note, the fact that 10/17 of the patients with G551D mutation received ivacaftor may have influenced the result.

https://doi.org/10.1371/journal.pone.0174463.g006

CF-associated liver disease (CFLD).

A total of 122 (93%) patients were assessed for a diagnosis of CFLD. Patients who underwent liver transplantation (n = 2) or had <2 consecutive examinations spanning a 1-year period (n = 7) were excluded from the evaluation of a liver disease. Twenty-five of 122 patients (21%) met the criteria for CFLD and seven of these had liver cirrhosis (6% of all included patients). There were no significant differences between CFLD patients and those without liver involvement concerning the JenAbdomen-CF Score 1.0 (18.3 vs. 19.8; p = 0.487). Interestingly, JenAbdomen-CF Score 1.0 did not differ significantly between non-cirrhotic CFLD individuals and CF patients without liver involvement (17.9 vs. 19.8; p = 0.462). Even in cirrhotic CFLD individuals, JenAbdomen-CF Score 1.0 did not reveal a significant difference when compared to patients without liver involvement (20.0 vs. 19.8; p = 833).

Liver enzymes in serum.

Of the 131 patients, 129 were tested for liver enzymes in the past three months. A total of 90/129 participants (70%) had at least one elevation above the ULN and 14% (18/129) presented elevations of LFT considered as PCS. There was no statistically significant difference in mean JenAbdomen-CF Scores 1.0 between patients with and without elevated LFT (19.6 vs. 18.9; p = 0.699). Similarly, there was no difference between LFT considered as PCS and those without PCS consideration (19.6 vs. 19.3; p = 0.897).

Nutritional status.

No significant differences in JenAbdomen-CF Score 1.0 were observed between CF patients with a reduced (nutritional failure) and stable nutritional status. Additionally, there were no significant differences in JenAbdomen-CF Score 1.0 between negative and positive changes in Wt, Ht and BMI in the previous 3, 12, and 24 months (data not shown).

Lung function.

Patients with `severe´ lung disease showed slightly decreased scores compared to patients with `moderate´ lung disease (17.2 vs. 19.7; p = 0.360) and `mild´ lung disease (17.2 vs. 19.5; p = 0.402).

Antibiotics.

Of all included patients, 97 (75%) were treated with oral, intravenous, or inhaled antibiotics during the past three months. Average JenAbdomen-CF Scores 1.0 were slightly higher in children who received any antibiotics therapy compared with adults treated with antibiotics (20.5 vs. 18.9; p = 0.175). Among all patients who received antibiotics, patients treated with ciprofloxacin and/or meropenem tended to score higher than patients treated with any other antibiotics (23.3 vs. 19.0; p = 0.085).

Discussion

Although GI involvement is a hallmark of CF, until now it received comparatively little clinical and, even less, scientific attention. To our best knowledge, GI symptoms in CF as a multiorgan manifestation have not yet been systematically quantified. Here, we present data of a new questionnaire assessing the complexity of GI symptoms from 131 CF patients of all ages; the questionnaire prospectively shall be elaborated to a standardized and validated abdominal CF score, considering the FDA guidelines [19]. Additionally, quantified symptoms were related to phenotypic characteristics and to laboratory findings. The JenAbdomen-CF Score 1.0 questionnaire is a simple but meaningful two-page instrument capable to detect differences between several CF phenotypic characteristics, as shown within this publication. For purposes of monitoring, it can quickly and therefore routinely filled-in at on-site visits. In clinical trials, it can be implemented as an additional easy and inexpensive tool of, however, high relevance.

First of all, our study showed that all included CF patients presented at least one abdominal symptom within the preceding three months. A high prevalence rate of GI symptoms in 60% of 70 CF patients has also been reported in a recent survey by Fraquelli et al. [36]. This study, however, considered a lower number of items for the evaluation of the GI symptoms (7 items, compared to 17 items in the JenAbdomen-CF Score 1.0) what might explain the difference in the prevalence rates. Nevertheless, high prevalence rates of GI symptoms are known to be representative in CF. For reasons of comparison, clear distinction, and specification, age-matched healthy controls should be included in future research on CF-related GI symptoms using the questionnaire.

In our study, around one-third (34%) of CF patients experienced at least one episode of abdominal pain per week with a small subgroup suffering `almost always´ (7%) and `always´ (2%) from the relevant symptom. By comparison, Munck et al. [14] reported a very low prevalence of recurrent abdominal pain (RAP) of 6%, yet using the more strict Apley’s criteria (at least three bouts of pain, severe enough to affect one´s activities, over a period of not less than three months, with attacks continuing in the year preceding the examination) [37]. In our study, the mean abdominal pain intensity was indicated as moderate (3 VAS pts; median = 4/max = 10) and of relatively short duration (<45 min), which is in the range of previous reports [8,10]. The majority of studies on abdominal pain in CF, however, did not specify the localization of pain [8,10,38,39].

In the 85% of patients with exocrine PI, enzyme substitution may relieve many but not all GI symptoms. Thereby, low treatment adherence is considered a major cause of increased symptomatology. That adherence to pancreatic enzyme intake was self-reported may constitute a limitation of our study, as maladherence might be under-reported. Of all included PI patients, 76% stated to have taken their enzymes regularly (never or less than once a month missed a dose). Furthermore, 3% stated to have forgotten them several times a week, 7% about once a week, and 14% several times a month. This self-reported rate of adherence regarding enzyme intake is comparatively high. For instance, Modi et al. only estimated an adherence rate at 50% or below [40]. Compared to objective measures, self-reports in general involve some uncertainty and may be biased for several reasons. In consecutive studies it would be most interesting to use objective methods to measure adherence to enzyme intake and its correlation to symptoms but possibilities to effectively and objectively control intake of tablets within daily life are markedly limited.

Altogether, in our study, female subjects revealed slightly higher JenAbdomen-CF Score 1.0 values than males. To some extent, this may be explained by an overlap with some symptoms associated with the menstruation cycle. In accordance, significantly more abdominal pain has been described both in CF and in healthy pubescent girls [14,41]. Of note, our study revealed no differences in the overall abdomen scores between the age groups. This accords well to a recent systematic review showing that prevalence and intensity of nonspecific pain was not linked to age in CF [12].

Our results showed slightly higher abdomen scores in patients with mild lung symptomatology (FEV1 ≥70 pp; 19.5 score points) compared to patients with severe lung disease (FEV1 ≤39 pp; 17.2 score points). In line with this, it has recently been noticed that mild lung disease in CF is associated with more severe extrapulmonary manifestations [42].

In general, CFLD reveals a slow progression over years and even decades and often is asymptomatic until most advanced stages [31,43,44]. In accordance, we did not see differences in abdomen scores among non-CFLD, non-cirrhotic CFLD, and cirrhotic CFLD groups. Furthermore, six of the seven cirrhotic CFLD individuals included in our study were classified with Child-Pugh score A indicating compensated liver cirrhosis without signs of portal hypertension.

In our study, CF patients with nutritional failure (reduced nutritional state) did not report higher rates of GI symptoms. This finding can be explained by the retrospective and cross sectional character of our questionnaire. In a prospective study, Shoff et al. [45] reported that a better nutritional status was associated with increased HRQoL scores. This questionnaire, however, included only one item on `digestive symptoms´. Thus, further prospective studies using meaningful questionnaires are warranted to evaluate the impact of GI symptoms on the nutritional status of CF patients. In this respect, additional factors that contribute to growth failure such as intestinal inflammation [4649] and dysbiosis [50,51] should be considered.

A main finding of our study was that the majority of patients who underwent laparotomy scored higher than those without such surgery. This might be attributed to a more severe course of gastrointestinal disease, causing volvulus, intestinal atresia, intussusception, MI, and DIOS in these patients. Interestingly, in 15 of these 17 patients, PIP scores were ≥0.96 that accords to PI in almost all of these patients.

Among children and adolescents, those who received several antibiotic i.v. courses tended to suffer from more pronounced GI symptoms than patients without antibiotic treatments. Especially early in life, antibiotic treatment may affect the intestinal microbiota with putative long-term health consequences [52]. The usage of broad-spectrum antibiotics has been suspected to increase the risk of abdominal pain on the one hand [52]. On the other hand, it has been associated with a reduction in physiological anaerobic species and enterobacteria in the intestinal flora [53,54]. Some studies have shown that ciprofloxacin particularly suppresses gram-negative rods such as Enterobacteriaceae and Bacteroides species [55,56], thus promoting dysbiosis in CF [50]. In accordance, we observed higher symptom scores in patients with intermittent P. aeruginosa colonization, who often receive longer courses of ciprofloxacin.

Altogether, the 17 CF patients of our cohort carrying at least one G551D-CFTR mutation showed lower scores than non-G551D-CFTR patients (13.6 vs. 17.0; p = 0.029). As 59% of these patients (10/17) received ivacaftor at the time of questioning, we cannot distinguish whether this outcome was due to therapy or because of the general milder clinical phenotype compared to F508del, as previously suggested [57,58]. In addition, patients treated with ivacaftor (IVA) reported significantly lower scores in comparison with non-G551D-CFTR patients (11.7 vs. 17.0; p = 0.032). In line with this, we herein propose the usage of our questionnaire with special emphasis on its value for future clinical studies. As CFTR modulators such as IVA act systemically, the assessment of changes in abdominal symptoms is of outstanding interest, especially, since first CFTR modulators for frequent mutations like F508del are now available [59], and many studies with novel modulating substances are on the way. Thereby, a deeper understanding of the complex abdominal involvement is needed and assessment of changes of abdominal symptoms during CFTR modulation is of high interest. In light of this, the complementing usage of PROMs such as symptom questionnaires like the herein presented is promising.

As mentioned above, one limitation of our study is its retrospective character. Furthermore, missing values in the questionnaire were replaced by zero what might have introduced biased estimates interfering with the final score. However, the percentage of missing data was only 4.8%, what can be considered as low, according to Monte Carlo [60].

Finally, from our data we can conclude that patients with a severe course of the disease or with genotypes causing a moderate to severe abdominal involvement (what at the same time more frequently is associated with history of DIOS, MI, PI and rectal prolapses) are more likely to have higher rates for GI symptoms. Concurrently, GI symptomatology was not associated with CFLD or elevated LFTs.

Meanwhile, we have elaborated a revised and improved version of our questionnaire and the deduced JenAbdomen-CF Score, which now will undergo the following steps:

  • Evaluation of reliability of the questionnaire by examining internal consistency and construct validity,
  • Evaluation of reproducibility of the questionnaire by re-testing of patients,
  • Assessment of cross-generational applicability of the questionnaire by subscoring of age groups,
  • Evaluation of the responsiveness of the score by comparison with age-matched healthy controls,
  • Evaluation of the power of the questionnaire by comparison with the Cystic Fibrosis Questionnaire Revised (CFQ-R) which inquires mainly QoL items,
  • Assessment of applicability of the questionnaire in other CF centers,
  • Assessment of putative relationships of abdominal symptoms with faecal inflammatory markers.

Prospectively, we aim at disseminating and applying our JenAbdomen-CF Score to a larger patient cohort not only in Germany but also in other countries in order to assess practicability of the questionnaire and provide proof of principle for the significance of the thus calculated score on GI involvement in CF.

Acknowledgments

The authors especially thank the patients who participated in this study.

Author Contributions

  1. Conceptualization: HT JGM CA.
  2. Data curation: HT CA TL.
  3. Formal analysis: HT TL.
  4. Funding acquisition: HT JGM.
  5. Investigation: HT ML RM AG CA JGM.
  6. Methodology: HT CA JGM SR HJM DR.
  7. Project administration: CA JGM.
  8. Resources: ML RM AG JGM.
  9. Supervision: CA TL AJ JGM.
  10. Validation: HT CA TL JGM.
  11. Visualization: HT CA TL AJ JGM.
  12. Writing – original draft: HT CA JGM.
  13. Writing – review & editing: HT CA JGM.

References

  1. 1. Riordan JR, Rommens JM, Kerem B, Alon N, Rozmahel R, Grzelczak Z, et al. (1989) Identification of the cystic fibrosis gene: cloning and characterization of complementary DNA. Science 245: 1066–1073. pmid:2475911
  2. 2. Ooi CY, Durie PR (2016) Cystic fibrosis from the gastroenterologist's perspective. Nat Rev Gastroenterol Hepatol 13: 175–185. pmid:26790364
  3. 3. Chaudry G, Navarro OM, Levine DS, Oudjhane K (2006) Abdominal manifestations of cystic fibrosis in children. Pediatr Radiol 36: 233–240. pmid:16391928
  4. 4. Kelly T, Buxbaum J (2015) Gastrointestinal Manifestations of Cystic Fibrosis. Dig Dis Sci 60: 1903–1913. pmid:25648641
  5. 5. Dray X, Bienvenu T, Desmazes-Dufeu N, Dusser D, Marteau P, Hubert D (2004) Distal intestinal obstruction syndrome in adults with cystic fibrosis. Clin Gastroenterol Hepatol 2: 498–503. pmid:15181619
  6. 6. Robertson MB, Choe KA, Joseph PM (2006) Review of the abdominal manifestations of cystic fibrosis in the adult patient. Radiographics 26: 679–690. pmid:16702447
  7. 7. van der Doef HP, Kokke FT, van der Ent CK, Houwen RH (2011) Intestinal obstruction syndromes in cystic fibrosis: meconium ileus, distal intestinal obstruction syndrome, and constipation. Curr Gastroenterol Rep 13: 265–270. pmid:21384135
  8. 8. Sermet-Gaudelus I, De Villartay P, de Dreuzy P, Clairicia M, Vrielynck S, Canoui P, et al. (2009) Pain in children and adults with cystic fibrosis: a comparative study. J Pain Symptom Manage 38: 281–290. pmid:19364632
  9. 9. Blackwell LS, Quittner AL (2015) Daily pain in adolescents with CF: Effects on adherence, psychological symptoms, and health-related quality of life. Pediatr Pulmonol 50: 244–251.
  10. 10. Koh JL, Harrison D, Palermo TM, Turner H, McGraw T (2005) Assessment of acute and chronic pain symptoms in children with cystic fibrosis. Pediatr Pulmonol 40: 330–335. pmid:16106349
  11. 11. Stenekes SJ, Hughes A, Gregoire MC, Frager G, Robinson WM, McGrath PJ (2009) Frequency and self-management of pain, dyspnea, and cough in cystic fibrosis. J Pain Symptom Manage 38: 837–848. pmid:19819666
  12. 12. Lee AL, Rawlings S, Bennett KA, Armstrong D (2016) Pain and its clinical associations in individuals with cystic fibrosis: A systematic review. Chron Respir Dis 13: 102–117. pmid:26873725
  13. 13. Palermo TM, Harrison D, Koh JL (2006) Effect of disease-related pain on the health-related quality of life of children and adolescents with cystic fibrosis. Clin J Pain 22: 532–537. pmid:16788339
  14. 14. Munck A, Pesle A, Cunin-Roy C, Gerardin M, Ignace I, Delaisi B, et al. (2012) Recurrent abdominal pain in children with cystic fibrosis: a pilot prospective longitudinal evaluation of characteristics and management. J Cyst Fibros 11: 46–48. pmid:21907638
  15. 15. Cheah E, Venuti E, McKay K, Gaskin K (2015) ePS05.6 Cessation of pancreatic enzyme replacement therapy (PERT) after initiation of therapy with ivacaftor—a case series. Journal of Cystic Fibrosis 14: S51.
  16. 16. McKay K, Cheah E, Venuti E, Gaskin K (2015) 231 The effect of ivacaftor on exocrine pancreatic function in patients with cystic fibrosis and the G551D CFTR mutation who are naïve for ivacaftor. Journal of Cystic Fibrosis 14: S117.
  17. 17. Ramsey BW, Davies J, McElvaney NG, Tullis E, Bell SC, Drevinek P, et al. (2011) A CFTR potentiator in patients with cystic fibrosis and the G551D mutation. N Engl J Med 365: 1663–1672. pmid:22047557
  18. 18. Davies JC, Wainwright CE, Canny GJ, Chilvers MA, Howenstine MS, Munck A, et al. (2013) Efficacy and safety of ivacaftor in patients aged 6 to 11 years with cystic fibrosis with a G551D mutation. Am J Respir Crit Care Med 187: 1219–1225. pmid:23590265
  19. 19. FDA (2009) Guidance for Industry, Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. FDA/CDER/CBER/CDRH. Rockville.
  20. 20. Harland NJ, Dawkin MJ, Martin D (2015) Relative utility of a visual analogue scale vs. a six-point Likert scale in the measurement of global subject outcome in patients with low back pain receiving physiotherapy. Physiotherapy 101: 50–54. pmid:25282389
  21. 21. McGrath PA (1987) An assessment of children's pain: a review of behavioral, physiological and direct scaling techniques. Pain 31: 147–176. pmid:3324017
  22. 22. Savedra MC, Tesler MD, Holzemer WL, Wilkie DJ, Ward JA (1989) Pain location: validity and reliability of body outline markings by hospitalized children and adolescents. Res Nurs Health 12: 307–314. pmid:2798951
  23. 23. Kainzwaldner V, Rachinger-Adam B, Mioc-Curic T, Wohrle T, Hinske LC, Luchting B, et al. (2013) [Quality of postoperative pain therapy: evaluation of an established anesthesiology acute pain service]. Anaesthesist 62: 453–459. pmid:23670580
  24. 24. Lane MM, Czyzewski DI, Chumpitazi BP, Shulman RJ (2011) Reliability and validity of a modified Bristol Stool Form Scale for children. J Pediatr 159: 437–441 e431. pmid:21489557
  25. 25. Chumpitazi BP, Lane MM, Czyzewski DI, Weidler EM, Swank PR, Shulman RJ (2010) Creation and initial evaluation of a Stool Form Scale for children. J Pediatr 157: 594–597. pmid:20826285
  26. 26. Gu YH, Yokoyama K, Mizuta K, Tsuchioka T, Kudo T, Sasaki H, et al. (2015) Stool color card screening for early detection of biliary atresia and long-term native liver survival: a 19-year cohort study in Japan. J Pediatr 166: 897–902 e891. pmid:25681196
  27. 27. Ooi CY, Dorfman R, Cipolli M, Gonska T, Castellani C, Keenan K, et al. (2011) Type of CFTR mutation determines risk of pancreatitis in patients with cystic fibrosis. Gastroenterology 140: 153–161. pmid:20923678
  28. 28. Ooi CY, Durie PR (2012) Cystic fibrosis transmembrane conductance regulator (CFTR) gene mutations in pancreatitis. J Cyst Fibros 11: 355–362. pmid:22658665
  29. 29. Borowitz D, Baker RD, Stallings V (2002) Consensus report on nutrition for pediatric patients with cystic fibrosis. J Pediatr Gastroenterol Nutr 35: 246–259. pmid:12352509
  30. 30. Kromeyer-Hauschild K, Zellner K, Jaeger U, Hoyer H (1999) Prevalence of overweight and obesity among school children in Jena (Germany). Int J Obes Relat Metab Disord 23: 1143–1150. pmid:10578204
  31. 31. Debray D, Kelly D, Houwen R, Strandvik B, Colombo C (2011) Best practice guidance for the diagnosis and management of cystic fibrosis-associated liver disease. J Cyst Fibros 10 Suppl 2: S29–36.
  32. 32. Quittner AL, Buu A, Messer MA, Modi AC, Watrous M (2005) Development and validation of The Cystic Fibrosis Questionnaire in the United States: a health-related quality-of-life measure for cystic fibrosis. Chest 128: 2347–2354. pmid:16236893
  33. 33. Britto MT, Kotagal UR, Hornung RW, Atherton HD, Tsevat J, Wilmott RW (2002) Impact of recent pulmonary exacerbations on quality of life in patients with cystic fibrosis. Chest 121: 64–72. pmid:11796433
  34. 34. Schmidt A, Wenninger K, Niemann N, Wahn U, Staab D (2009) Health-related quality of life in children with cystic fibrosis: validation of the German CFQ-R. Health Qual Life Outcomes 7: 97. pmid:19954541
  35. 35. Lee TW, Brownlee KG, Conway SP, Denton M, Littlewood JM (2003) Evaluation of a new definition for chronic Pseudomonas aeruginosa infection in cystic fibrosis patients. J Cyst Fibros 2: 29–34. pmid:15463843
  36. 36. Fraquelli M, Baccarin A, Corti F, Conti CB, Russo MC, Della Valle S, et al. (2016) Bowel ultrasound imaging in patients with cystic fibrosis: Relationship with clinical symptoms and CFTR genotype. Dig Liver Dis 48: 271–276. pmid:26514737
  37. 37. Apley J, Naish N (1958) Recurrent abdominal pains: a field survey of 1,000 school children. Arch Dis Child 33: 165–170. pmid:13534750
  38. 38. Festini F, Ballarin S, Codamo T, Doro R, Loganes C (2004) Prevalence of pain in adults with cystic fibrosis. J Cyst Fibros 3: 51–57. pmid:15463887
  39. 39. Ravilly S, Robinson W, Suresh S, Wohl ME, Berde CB (1996) Chronic pain in cystic fibrosis. Pediatrics 98: 741–747. pmid:8885955
  40. 40. Modi AC, Lim CS, Yu N, Geller D, Wagner MH, Quittner AL (2006) A multi-method assessment of treatment adherence for children with cystic fibrosis. J Cyst Fibros 5: 177–185. pmid:16679071
  41. 41. Perquin CW, Hazebroek-Kampschreur AA, Hunfeld JA, Bohnen AM, van Suijlekom-Smit LW, Passchier J, et al. (2000) Pain in children and adolescents: a common experience. Pain 87: 51–58. pmid:10863045
  42. 42. O'Sullivan BP, Freedman SD Cystic fibrosis. The Lancet 373: 1891–1904.
  43. 43. Colombo C (2007) Liver disease in cystic fibrosis. Curr Opin Pulm Med 13: 529–536. pmid:17901760
  44. 44. Staufer K, Halilbasic E, Trauner M, Kazemi-Shirazi L (2014) Cystic fibrosis related liver disease—another black box in hepatology. Int J Mol Sci 15: 13529–13549. pmid:25093717
  45. 45. Shoff SM, Tluczek A, Laxova A, Farrell PM, Lai HJ (2013) Nutritional status is associated with health-related quality of life in children with cystic fibrosis aged 9–19 years. J Cyst Fibros 12: 746–753. pmid:23410621
  46. 46. Bruzzese E, Raia V, Gaudiello G, Polito G, Buccigrossi V, Formicola V, et al. (2004) Intestinal inflammation is a frequent feature of cystic fibrosis and is reduced by probiotic administration. Aliment Pharmacol Ther 20: 813–819. pmid:15379842
  47. 47. Dhaliwal J, Leach S, Katz T, Nahidi L, Pang T, Lee JM, et al. (2015) Intestinal inflammation and impact on growth in children with cystic fibrosis. J Pediatr Gastroenterol Nutr 60: 521–526. pmid:25539196
  48. 48. Werlin SL, Benuri-Silbiger I, Kerem E, Adler SN, Goldin E, Zimmerman J, et al. (2010) Evidence of intestinal inflammation in patients with cystic fibrosis. J Pediatr Gastroenterol Nutr 51: 304–308. pmid:20512061
  49. 49. Munck A (2014) Cystic fibrosis: evidence for gut inflammation. Int J Biochem Cell Biol 52: 180–183. pmid:24548777
  50. 50. Bruzzese E, Callegari ML, Raia V, Viscovo S, Scotto R, Ferrari S, et al. (2014) Disrupted intestinal microbiota and intestinal inflammation in children with cystic fibrosis and its restoration with Lactobacillus GG: a randomised clinical trial. PLoS One 9: e87796. pmid:24586292
  51. 51. Li L, Somerset S (2014) The clinical significance of the gut microbiota in cystic fibrosis and the potential for dietary therapies. Clin Nutr 33: 571–580. pmid:24767984
  52. 52. Uusijarvi A, Bergstrom A, Simren M, Ludvigsson JF, Kull I, Wickman M, et al. (2014) Use of antibiotics in infancy and childhood and risk of recurrent abdominal pain—a Swedish birth cohort study. Neurogastroenterol Motil 26: 841–850. pmid:24708246
  53. 53. Jernberg C, Lofmark S, Edlund C, Jansson JK (2010) Long-term impacts of antibiotic exposure on the human intestinal microbiota. Microbiology 156: 3216–3223. pmid:20705661
  54. 54. Sullivan A, Edlund C, Nord CE (2001) Effect of antimicrobial agents on the ecological balance of human microflora. Lancet Infect Dis 1: 101–114. pmid:11871461
  55. 55. Wistrom J, Gentry LO, Palmgren AC, Price M, Nord CE, Ljungh A, et al. (1992) Ecological effects of short-term ciprofloxacin treatment of travellers' diarrhoea. J Antimicrob Chemother 30: 693–706. pmid:1493985
  56. 56. Borzio M, Salerno F, Saudelli M, Galvagno D, Piantoni L, Fragiacomo L (1997) Efficacy of oral ciprofloxacin as selective intestinal decontaminant in cirrhosis. Ital J Gastroenterol Hepatol 29: 262–266. pmid:9646219
  57. 57. Comer DM, Ennis M, McDowell C, Beattie D, Rendall J, Hall V, et al. (2009) Clinical phenotype of cystic fibrosis patients with the G551D mutation. QJM 102: 793–798. pmid:19734299
  58. 58. Parad RB (1996) Heterogeneity of phenotype in two cystic fibrosis patients homozygous for the CFTR exon 11 mutation G551D. J Med Genet 33: 711–713. pmid:8863168
  59. 59. Wainwright CE, Elborn JS, Ramsey BW, Marigowda G, Huang X, Cipolli M, et al. (2015) Lumacaftor-Ivacaftor in Patients with Cystic Fibrosis Homozygous for Phe508del CFTR. N Engl J Med 373: 220–231. pmid:25981758
  60. 60. Roth PL (1994) Missing Data—a Conceptual Review for Applied Psychologists. Personnel Psychology 47: 537–560.