Literature DB >> 32703309

Impact of prematurity and the CTG repeat length on outcomes in congenital myotonic dystrophy.

Yu Saito1, Kenta Matsumura2, Misao Kageyama3, Yuichi Kato4, Eiji Ohta5, Kiyoaki Sumi6, Takeshi Futatani7, Taketoshi Yoshida8.   

Abstract

OBJECTIVE: Patients with congenital myotonic dystrophy (CDM) tend to be born preterm. Although the CDM severity generally depends on the CTG repeat length, prematurity may also affect the prognosis in patients with CDM. Given that preterm birth is expected to increase the risk of CDM in newborns, we investigated the outcomes of newborns with CDM according to gestational age to assess prematurity and the CTG repeat length for predicting prognosis.
RESULTS: We assessed the outcomes of 54 infants with CDM using data collected from our hospitals and previously published studies. The patients were divided into mild and severe groups based on clinical outcomes. Logistic regression analysis was performed to estimate odds ratios (ORs) for CDM prognosis according to gestational age and the CTG repeat length and to construct a predictive model. Logistic regression analysis showed both the CTG repeat and gestational age were significantly associated with severe outcomes in patients with CDM (OR: 32.27, 95% CI 3.45-300.7; p = 0.002 and OR: 0.73, 95% CI 0.58-0.93; p = 0.0094, respectively). This predictive model for CDM prognosis exhibited good sensitivity (63%) and specificity (86%). Both prematurity and the CTG repeat length were significantly associated with the CDM severity.

Entities:  

Keywords:  CTG repeat; Discrimination analysis; Myotonic dystrophy; Predicting prognosis; Prematurity

Mesh:

Year:  2020        PMID: 32703309      PMCID: PMC7379817          DOI: 10.1186/s13104-020-05186-z

Source DB:  PubMed          Journal:  BMC Res Notes        ISSN: 1756-0500


Introduction

Myotonic dystrophy type 1 (DM1, OMIM #160900) is an autosomal dominant disorder that affects skeletal and smooth muscles as well as the respiratory, gastrointestinal systems. DM1 is caused by an expansion of cytosine-thymine-guanine (CTG) trinucleotide repeats in the 3′ untranslated region of the dystrophia myotonica protein kinase (DMPK) gene [1-4]. DM1 demonstrates anticipation because the CTG repeat expansion in DMPK seems to increase with parental transmission, especially by mother [5]. The current clinical classification of DM1 is based on age at onset and length of the CTG expansion; therefore, DM1 severity depends on the length of the CTG expansion [6-10]. Congenital DM (CDM) is the most severe form of DM1, and neonatal mortality ranges between 16% and 41% [11]. Although the disease severity generally dependent on CTG repeats size, there are wide spectrum of involvements in CDM patients [12, 13]. The cause of death is mainly respiratory distress which may be correlated with the CTG repeat length [6, 8]. The presence of respiratory distress can distinguish between mild and severe CDM [8]; therefore, the respiratory system is a vital organ for predicting prognosis in CDM newborns. Most CDM newborns inherit DM1 from their mothers. Pregnant women with DM1 have a preterm delivery rate of approximately 30%–50% [8, 14, 15]. Preterm newborns (gestational age less than 37 weeks) and low birth weight infants (less than 2500 g) are generally accompanied by some complications caused by prematurity such as bronchopulmonary dysplasia (BPD) and intestinal movement disorder. Consequently, preterm CDM newborns transmitted especially by mother are assumed to be at a much higher risk for dysfunction of the pulmonary and intestinal systems because they are affected by the double risk factors of CDM and preterm birth. Since we expected preterm birth to increase the burden on CDM newborns, we investigated the outcomes of CDM newborns according to gestational age (prematurity) and the CTG repeat length for predicting prognosis.

Main text

Methods

Data collection

This retrospective case series collected patients information of newborns diagnosed with CDM in our six NICUs, which are all tertiary hospitals, from January 2002 to July 2019 in Japan. We obtained clinical data including gestational age, birth weight, length of hospital stay, outcome, and the CTG repeat length from the medical charts. In addition, CDM infants from previous literature published between January 2002 and July 2019 were included when at least gestational age, length of hospital stay, outcome, and the CTG repeat length had been reported. This study was reviewed and approved by the Toyama University Review Board (R2019038).

Outcome analysis by combining the CTG repeat length and gestational age

Length of hospital stay was used as a marker of CDM severity. CDM patients were classified into the mild group (i.e., a hospital stay of less than 1 year) or the severe group (i.e., death or a long hospital stay of more than 1 year). The choice of long hospital stay as the threshold was completely arbitrary, but Japanese national surveillance showed only 4.7% of newborns of NICU stayed in hospitals more than 1 year [16]. This long-term hospitalization was intuitively meaningful for distinguishing the severity of CDM infants. In case of preterm infants, hospital stay was calculated from expected date of birth. For the analysis of CTG repeat length, we adopted the median value if there were between 1800 and 2200 CTG repeats (2000 repeats in this case) and then applying a logarithmic transformation (log2) to normalize the distribution. To investigate the outcomes of CDM infants, a logistic regression analysis was conducted to estimate odds ratio (OR) and its 95% confidence interval (CI) for CDM severity according to log2 CTG repeat length and gestational age and to construct a predictive model. A p value of less than 0.05 was considered statistically significant, using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).

Results

We analyzed data on 22 CDM infants from our hospitals and 31 patients from previous studies [17-33]. We summarized the clinical characteristics of all 53 CDM infants in Table 1. The median gestational age at delivery was 34.6 weeks (range, 23.5 to 42.1 weeks), with a preterm delivery rate of 70.4% (38/54 cases). The median neonatal birth weight was 2085 g (range: 526 to 3600 g), with a low birth weight rate of 68.5% (37/54 cases). The CTG repeat length varied from 600 to 3000 (median 1700). By outcome, the mild group included 37 infants, whereas the severe group included 9 dead infants and 7 infants who required a long hospitalization. The median length of hospital stay in the infants that survived was 80 days (0 to 673).
Table 1

Summaries of clinical characteristics of congenital myotonic dystrophy

CaseGA at birth (wk)Birth weight(g)No. of CTG repeatsOutcomeHospital stay (d)
Our cases 134217419001134
223.55262600265
34032321820143
43630961700190
52698224002326
636.32031210023
733.6208512001141
835.42597210022
934.2225222002409
1035.523701000143
1137.428861250186
1237.4243414501100
1337.622261800171
1438.223441400171
153011901000196
1637260090010
1737267660012
182575811001236
1933.12018220022
2033.3165622001129
2128.384815002285
2231.3164024001160
Yamaguchi [17]37.628381375149
Yee [18]34.6205827002397
36.629851300129
3836001100120
38.231401300121
29.1138010001260
38.53450700124
31.517101700191
372850127015
3116402000245
Tsuji [19]30132216002365
35261822002635
35189213001180
Yamashita [20]37.6287626001120
Fuma [21]31.6141125002730
Banno [22]3727861100180
3624341650170
Kanazawa [23]25.16782100261
Minami [24]4029351630140
Takagi [25]35.4226621001166
Sato [26]42.1337821001123
26.289610001153
Miyagi [27]2912001800217
Utunomiya [28]34.6189029001136
Kondo [29]23.366019502425
Yanagi [30]36.2241015001172
34.4172410001145
33.3201430001203
Enomoto [31]33.1219029002545
Saito [32]28.685017001221
Nakayama [33]28.594617501240

Outcome 1, discharge within 1 year; 2, death or discharge after 1 year

GA, gestational age

Summaries of clinical characteristics of congenital myotonic dystrophy Outcome 1, discharge within 1 year; 2, death or discharge after 1 year GA, gestational age Logistic regression analysis showed that both log2 CTG repeat length and gestational age were significantly associated with severe outcome of CDM patients (OR 32.27, 95% CI 3.45–300.7; p = 0.002 and OR 0.73, 95% CI 0.58–0.93; p = 0.0094, respectively). Discriminant line, on which the probability of an infant will be classified into each outcome is the same, derived using this analysis was following:Taking exponential transform of both sides leads toAccording to this discriminant curve, CDM patients were divided into two groups based on their predictive prognosis: favorable and unfavorable groups (Fig. 1). This equation provided 63% sensitivity, 86% specificity, and a 67% positive predictive value.
Fig. 1

Scatterplot of CDM patients according to the number of CTG repeats and gestational age. Discriminant curve distinguishing between favorable and unfavorable outcomes was derived using a multivariate logistic regression. See text for details

Scatterplot of CDM patients according to the number of CTG repeats and gestational age. Discriminant curve distinguishing between favorable and unfavorable outcomes was derived using a multivariate logistic regression. See text for details

Discussion

The clinical course of CDM in patients assessed in this study varied from one mild case (our case 16) without NICU admission to life-threatening illnesses (Table 1). Throughout this study, we provided a useful predictive prognosis model of CDM patients by combining gestational age and the CTG repeat length (Fig. 1). We revealed that OR decreased by 27% with 1 week increase in gestational age, whereas OR increased by 31.27 with 1 unit increase in log2 CTG repeat length, in other words, OR increased by 31.27 whenever the number of CTG repeat length doubled. The current clinical classification of DM1 is based on age at onset and CTG length [7, 12, 13, 34, 35]. On the other hand, several reports have shown no evidence of an effect of CTG repeat length on clinical severity [8, 11, 36]. Since the severity of CDM depends on the status of respiratory complications [6], prematurity is supposed to worsen respiratory status. This discriminant curve increases according to gestational age in Fig. 1; therefore, prematurity is a concern for poor outcomes in CDM newborns. Our results suggest that it is crucial to take into account both prematurity and the CTG repeat length for predicting CDM prognosis. Interestingly, all term newborns (> 37 weeks) with CDM showed a good prognosis. This may have occurred because these infants had enough time for their respiratory system to mature until term. CDM mortality rates range from 16% to 41% and are generally caused by respiratory insufficiency [11]. Preterm CDM newborns often require mechanical ventilation for a long period of time, which could worsen their lung function. It is important that CDM newborns remain in the uterus for as long as possible. Another reason for this finding is that the term CDM newborns had fewer CTG repeats (median: 1300) than preterm ones (median of 1900). Several studies have indicated the CTG repeat correlated with the disease phenotype [8, 34, 35]. Thus, having few CTG repeats with term CDM newborns induces a favorable outcome. Furthermore, information on GA at birth would be useful to predict the outcomes of preterm CDM newborns. Approximately 30%–45% of pregnant women with DM1 undergo preterm labor and 17%–25% experience polyhydramnios [14, 15]. In our study population, 68.2% of women had preterm labor (15/22 cases, Table 1) and 68.2% had polyhydramnios (15/22 cases, data not shown). Case No. 3 (CTG repeats: 1820) with polyhydramnios had the amniotic fluid removed twice by amniocentesis at GA 28 weeks (470 ml) and 34 weeks (700 ml). Consequently, this patient was born at 40 weeks and displayed spontaneous breathing without mechanical ventilation. To prolong pregnancy in pregnant women with DM1, amniocentesis may help treat polyhydramnios. These data suggest the possibility of improvement in CDM infants. For example, when evaluating CTG repeat length from 1000 to 2000 repeats in Fig. 1, most patients who were less than GA 32 weeks had unfavorable outcomes. Conversely, patients more than GA 32 weeks all showed favorable outcomes (Fig. 1). These results highlight that the removal of amniotic fluid by amniocentesis may prolong the duration of pregnant mothers with DM1 and may improve outcomes in CDM infants.

Conclusion

This study showed that both gestational age and the CTG repeat length were associated with outcomes in CDM infants. We can predict the prognosis of CDM fetus or newborns based on gestational age and the CTG repeat length which may be helpful for medical staffs and their parents. Amniocentesis for polyhydramnios in mothers with DM1 may prolong the duration of pregnancy and improve outcomes in CDM infants.

Limitations

This study has several limitations. First is our data bias. This retrospective case series collected patients information of newborns diagnosed with CDM in our six NICUs, which are all tertiary hospitals in Japan. Our rate of preterm infants was much higher (68.2%) than other reports (30%–45%) [14, 15], which indicates that our hospitals might treat more severe patients. Although we collected many data from literatures as a retrospective case study, there is no significant difference between our patients and literatures’ patients regarding gestational age (mean 33.6wk vs 33.7wk, p = 0.98), CTG repeat length (mean 1673.6 vs 1980.5, p = 0.32), birth weight (mean 2028.2 g vs 2096.8 g, p = 0.76), and hospital length (mean 113.4 days vs 189.6 days, p = 0.09). We believe to have reduced our data bias as little as possible. Second, our definition of severe includes death and a long stay in the hospital of more than 6 months. This length of hospital stay is completely arbitrary. However, this discriminant analysis showed such a high sensitivity and specificity that this time period could be useful for predicting prognosis. Further worldwide studies are necessary to more accurately predict the prognosis of CDM infants.
  19 in total

1.  Congenital myotonic dystrophy: Canadian population-based surveillance study.

Authors:  Craig Campbell; Simon Levin; Victoria Mok Siu; Shannon Venance; Pierre Jacob
Journal:  J Pediatr       Date:  2013-02-14       Impact factor: 4.406

2.  Myotonic dystrophy mutation: an unstable CTG repeat in the 3' untranslated region of the gene.

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3.  Genetics correlates with lung function and nocturnal ventilation in myotonic dystrophy.

Authors:  Regina Monteiro; João Bento; Miguel R Gonçalves; Tiago Pinto; João Carlos Winck
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4.  Myotonic dystrophy type I in childhood Long-term evolution in patients surviving the neonatal period.

Authors:  Bernard Echenne; Aline Rideau; Agathe Roubertie; Guillaume Sébire; François Rivier; Bernard Lemieux
Journal:  Eur J Paediatr Neurol       Date:  2007-09-24       Impact factor: 3.140

Review 5.  Outcome in pregnancies complicated by myotonic dystrophy: a study of 31 patients and review of the literature.

Authors:  Sabine Rudnik-Schöneborn; Klaus Zerres
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2004-05-10       Impact factor: 2.435

6.  Detection of an unstable fragment of DNA specific to individuals with myotonic dystrophy.

Authors:  J Buxton; P Shelbourne; J Davies; C Jones; T Van Tongeren; C Aslanidis; P de Jong; G Jansen; M Anvret; B Riley
Journal:  Nature       Date:  1992-02-06       Impact factor: 49.962

7.  Molecular basis of myotonic dystrophy: expansion of a trinucleotide (CTG) repeat at the 3' end of a transcript encoding a protein kinase family member.

Authors:  J D Brook; M E McCurrach; H G Harley; A J Buckler; D Church; H Aburatani; K Hunter; V P Stanton; J P Thirion; T Hudson
Journal:  Cell       Date:  1992-02-21       Impact factor: 41.582

8.  The Impact of Pregnancy on Myotonic Dystrophy: A Registry-Based Study.

Authors:  Nicholas E Johnson; Man Hung; Eriko Nasser; Katharine A Hagerman; Wei Chen; Emma Ciafaloni; Chad R Heatwole
Journal:  J Neuromuscul Dis       Date:  2015-10-07

9.  Gender as a Modifying Factor Influencing Myotonic Dystrophy Type 1 Phenotype Severity and Mortality: A Nationwide Multiple Databases Cross-Sectional Observational Study.

Authors:  Celine Dogan; Marie De Antonio; Dalil Hamroun; Hugo Varet; Marianne Fabbro; Felix Rougier; Khadija Amarof; Marie-Christine Arne Bes; Anne-Laure Bedat-Millet; Anthony Behin; Remi Bellance; Françoise Bouhour; Celia Boutte; François Boyer; Emmanuelle Campana-Salort; Françoise Chapon; Pascal Cintas; Claude Desnuelle; Romain Deschamps; Valerie Drouin-Garraud; Xavier Ferrer; Helene Gervais-Bernard; Karima Ghorab; Pascal Laforet; Armelle Magot; Laurent Magy; Dominique Menard; Marie-Christine Minot; Aleksandra Nadaj-Pakleza; Sybille Pellieux; Yann Pereon; Marguerite Preudhomme; Jean Pouget; Sabrina Sacconi; Guilhem Sole; Tanya Stojkovich; Vincent Tiffreau; Andoni Urtizberea; Christophe Vial; Fabien Zagnoli; Gilbert Caranhac; Claude Bourlier; Gerard Riviere; Alain Geille; Romain K Gherardi; Bruno Eymard; Jack Puymirat; Sandrine Katsahian; Guillaume Bassez
Journal:  PLoS One       Date:  2016-02-05       Impact factor: 3.240

Review 10.  Consensus-based care recommendations for congenital and childhood-onset myotonic dystrophy type 1.

Authors:  Nicholas E Johnson; Eugenio Zapata Aldana; Nathalie Angeard; Tetsuo Ashizawa; Kiera N Berggren; Chiara Marini-Bettolo; Tina Duong; Anne-Berit Ekström; Valeria Sansone; Cuixia Tian; Leah Hellerstein; Craig Campbell
Journal:  Neurol Clin Pract       Date:  2019-10
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