CC BY-NC-ND 4.0 · Geburtshilfe Frauenheilkd 2018; 78(08): 791-797
DOI: 10.1055/a-0637-9400
GebFra Science
Original Article/Originalarbeit
Georg Thieme Verlag KG Stuttgart · New York

Foetal Morbidity Depending on the Day and Time of Delivery

Article in several languages: English | deutsch
Julia von Ehr
Klinik für Frauenheilkunde und Geburtshilfe, Medizinische Hochschule Hannover, Hannover, Germany
,
Nina Wiebking
Klinik für Frauenheilkunde und Geburtshilfe, Medizinische Hochschule Hannover, Hannover, Germany
,
Sudip Kundu
Klinik für Frauenheilkunde und Geburtshilfe, Medizinische Hochschule Hannover, Hannover, Germany
,
Constantin von Kaisenberg
Klinik für Frauenheilkunde und Geburtshilfe, Medizinische Hochschule Hannover, Hannover, Germany
,
Peter Hillemanns
Klinik für Frauenheilkunde und Geburtshilfe, Medizinische Hochschule Hannover, Hannover, Germany
,
Philipp Soergel
Klinik für Frauenheilkunde und Geburtshilfe, Medizinische Hochschule Hannover, Hannover, Germany
› Author Affiliations
Further Information

Correspondence/Korrespondenzadresse

Julia von Ehr
Klinik für Frauenheilkunde und Geburtshilfe
Medizinische Hochschule Hannover
Carl-Neuberg-Straße 1
30625 Hannover
Germany   

Publication History

received 18 March 2018
revised 22 May 2018

accepted 03 June 2018

Publication Date:
20 August 2018 (online)

 

Abstract

Introduction It is known that perinatal mortality is increased with births at night and at the weekend. The aim of the study was to investigate whether there is also an association between the time of delivery (weekday, night, weekend) and perinatal morbidity.

Material and Methods All births at Hannover Medical College between 2000 and 2014 were included in a retrospective data analysis. Multiple births, primary sections, severe foetal malformations and intrauterine deaths were not included. A 5-minute Apgar score ≤ 5 and cord arterial pH < 7.10 were defined as perinatal morbidity. Besides the time of delivery, different variables that are regarded as risk factors for increased perinatal morbidity were studied. Univariate logistical regression analysis was performed, followed by multivariate analysis.

Results 18 394 deliveries were included in the study. Pathological prepartum Doppler, medical induction of labour and delivery at night and/or at the weekend significantly increased the probability of an Apgar score ≤ 5 after 5 minutes. The probability that a child will have cord arterial pH < 7.1 post partum is significantly increased with a BMI > 25 before pregnancy, primiparity, medical induction of labour, peripartum administration of oxytocic agents, when the delivery took place at night and weekend combined, but also when the delivery took place at night or at the weekend/on a public holiday. Multivariate regression analysis showed that a time of delivery at night and/or at the weekend or on a public holiday is not a prognostic factor for a 5-minute Apgar score ≤ 5 (p = 0.2377) but is a prognostic factor for cord arterial pH < 7.1 (p = 0.0252).

Conclusion The time of delivery at night or at the weekend/on a public holiday increases the risk for cord arterial pH < 7.1 by ~ 30% compared with delivery on a weekday. However, the time of delivery at night or at the weekend/on a public holiday does not increase the risk for the baby of having a 5-minute Apgar score ≤ 5.


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Introduction

In the 1970s and early 1980s, several studies were published that described an association between delivery at the weekend and increased perinatal mortality [1], [2], [3]. Fortunately, there has been a marked fall in foetal perinatal mortality to 5.2 – 5.4 affected children per thousand births in the last 60 years. In routine obstetric practice, foetal perinatal mortality is therefore a rare event today. Apart from mortality, however, foetal perinatal morbidity is now a central concern, especially due to perinatal asphyxia.

Hypoxic ischaemic encephalopathy (HIE) as a result of perinatal asphyxia is regarded worldwide as one of the main reasons for foetal mortality and morbidity [4]. The reported incidence is 2 – 3 per 1000 live births in industrialised countries and up to 15 per 1000 live births in developing countries [5], [6]. It is assumed that 23% of the 3.6 million peripartum deaths annually worldwide are a result of perinatal asphyxia [4], [7].

The majority of children who have suffered perinatal hypoxia recover rapidly and do not develop any neurological abnormalities. The proportion of children with HIE can develop neurological abnormalities of varying degree, which affect motor function, sensory function, cognition or behaviour [8]. There may be cerebral palsy, mental retardation, epilepsy, impaired hearing or only minimal behavioural abnormalities [9].

The standard procedure is to assess the newborn baby directly post partum using the Apgar score and exclude perinatal asphyxia by performing blood gas analysis on the placental artery and placental vein. The Apgar score awards 0 – 2 points for the following five criteria: colour, heart rate, reflexes, tone and breathing. The Apgar score is measured and recorded after one, five and ten minutes. The best possible score is 10 points and the worst is 0 points. An Apgar score of 7 – 10 is regarded as normal. A persistent Apgar score of 0 – 3 correlates with increased perinatal mortality [10], [11]. However, its predictive value as regards impaired cognitive function is controversial [12]. The Apgar score cannot provide evidence or exclusion of foetal hypoxia. This requires blood gas analysis from the umbilical cord artery as soon as possible post partum. Conclusions about the babyʼs metabolic status can then be drawn from the cord arterial pH and base excess. Measurement of the cord arterial pH is accepted as an objective criterion for assessing the newborn babyʼs condition [13]. Cord arterial pH > 7.20 is normal. A level between 7.20 and 7.10 is described as mild acidosis, which does not lead to any subsequent neurological problems if corrected normally. Cord arterial pH between 7.10 and 7.00 is moderate and below 7.00 is severe acidosis. Cord arterial pH below 7.00 is regarded in many studies as the critical threshold where foetal mortality and morbidity increase sharply [14].

The aim of our study was to investigate whether there is an association between the time of delivery and perinatal morbidity in a university hospital.


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Material and Methods

Study design

All deliveries in Hannover Medical College from 01.01.2000 to 31.08.2014 were included in this retrospective analysis. Births with the following criteria were excluded: primary sections, obviously faulty data, twin datasets, higher multiple births, delivery outside the hospital, severe foetal malformations, late abortions and intrauterine death. A 5-minute Apgar score ≤ 5 and cord arterial pH < 7.10 were defined as surrogate markers for perinatal morbidity.

A service model with a doctor on call for 24 h starting at 7.30 h was used in the gynaecology department of Hannover Medical College throughout the study period. Midwives worked in shifts throughout the study period. The time of delivery was classified as follows according to staffing schedules:

  • Weekday delivery: from Monday 07.00 h to Friday 18.00 h

  • Weekend delivery: from Friday 18.00 h to Monday 07.00 h

  • Delivery during the day: from 07.00 h to 18.00 h

  • Delivery at night: from 18.00 h to 07.00 h

  • Public holidays were treated as weekend

In addition, the following variables, which are published risk factors for increased perinatal morbidity, were studied:

  • BMI > 25 prior to pregnancy

  • Weight gain > 20 kg during pregnancy

  • Primiparity

  • Medical induction of labour

  • Administration of oxytocic agents during the birth, usually oxytocin

  • Prepartum maternal age > 35 years

  • Prepartum pathological foetal Doppler


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Statistical analysis

The data were analysed statistically using Microsoft Excel (Microsoft, Seattle, WA, USA) and Analyse-it for Microsoft Excel (Analyse-it Ltd., Leeds, GB). The analysis referred to two target variables: cord arterial pH post partum and Apgar score after 5 minutes. Univariate logistical regression analysis was performed with one independent variable and one dependent variable (pH or Apgar). In addition to the time of delivery (day vs. night, weekday vs. weekend/public holiday, weekday during the day vs. at night and weekend/public holiday) the variables listed above were studied.

This was followed by multivariate analysis using the parameters that have a significant influence on cord arterial pH < 7.1 or a 5-minute Apgar score ≤ 5.


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Results

Of the 27 526 births that took place in the gynaecology department of Hannover Medical College from 01.01.2000 to 31.08.2014, 9132 were excluded because of the aforementioned criteria. This left 18 394 data sets.

Number of births with pathological Apgar and/or cord arterial pH

The cord arterial pH was < 7.1 in 504 of the 18 394 deliveries studied. This is equivalent to 2.74%. In 179 deliveries, the 5-minute Apgar score was ≤ 5, equivalent to 0.97% of the deliveries. Both a cord arterial pH < 7.1 and a 5-minute Apgar score ≤ 5 were recorded in 21 births, equivalent to 0.11%.


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Distribution of number of deliveries according to time

8815 babies were born during the day (47.92%). 66.17% of the births (n = 12 172) took place on a weekday. A further distinction was made between weekdays during the day versus weekend and weekdays at night. 6566 deliveries took place during the day on a weekday. This is equivalent to 35.70% of the deliveries. 30.48% (n = 5606) of the babies were born at night on a weekday, 12.22% (n = 2249) during the day at the weekend and 21.6% (n = 3973) at night during the weekend. The time of delivery had no significant influence on the rate of secondary section and operative vaginal delivery. The decision-to-delivery intervals (DDI) too did not show any significant difference between the different times of delivery.


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Percentage distribution of deliveries with a cord arterial pH < 7.1 or 5-min Apgar score ≤ 5 depending on the day and time of delivery

2.3% of the babies (n = 151) with a cord arterial pH < 7.1 and 0.79% (n = 52) with a 5-minute Apgar score ≤ 5 were born on a weekday during the day. The numbers were: 3.09% (n = 173) of babies born on a weekday at night had cord arterial pH < 7.1 and 1.07% (n = 60) had a 5-minute Apgar score ≤ 5 while 2.89% (n = 180) of babies born at the weekend had cord arterial pH < 7.1 and 1.08% (n = 67) had a 5-minute Apgar score ≤ 5 ([Fig. 1]).

Zoom Image
Fig. 1 Percentage distribution of deliveries with a cord arterial pH < 7.1 or 5-min Apgar score ≤ 5 depending on the time of delivery on weekdays during the day, weekdays at night and at the weekend.

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Distribution of the variables

The BMI of 6546 women was over 25 prior to pregnancy, corresponding to 35.59% of all cases. Weight gain of more than 20 kg during pregnancy was found in 2605 cases, equivalent to 14.16% of the births. 9267 of 18 394 births were to primigravidae (50.38%). Labour was induced medically in 30.23%, corresponding to 5560 deliveries. Oxytocic agents were given during 4949 births, corresponding to 26.90%. The motherʼs age at delivery was ≥ 35 years in 4301 cases (23.38% of all births). 161 foetuses had a prepartum pathological Doppler, corresponding to 0.88% of births.

[Table 1] shows the distribution of the variables in the different times of delivery.

Table 1 Distribution of the variables in the different times of delivery, weekdays during the day, weekdays at night and at the weekend.

Variable

Weekday day (n = 6566)

Weekday night (n = 6222)

Weekend (n = 5606)

BMI > 25 prior to pregnancy

36.32% (n = 2385)

31.68% (n = 1971)

39.06% (n = 2190)

Primiparity

48.75% (n = 3201)

45.72% (n = 2845)

57.46% (n = 3221)

Weight gain > 20 kg

14.03% (n = 921)

13.1% (n = 815)

15.5% (n = 869)

Medical induction of labour

25.85% (n = 1697)

31.85% (n = 1982)

33.56% (n = 1881)

Use of oxytocic agents

25.77% (n = 1692)

24.73% (n = 1539)

30.65% (n = 1718)

Maternal age ≥ 35 years

36.43% (n = 1567)

30.06% (n = 1293)

33.5% (n = 1441)

Pathological foetal Doppler

1.14% (n = 75)

0.69% (n = 43)

0.77% (n = 43)


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Variables influencing a 5-min Apgar score ≤ 5 in univariate analysis

Pathological Doppler pre partum and medical induction of labour significantly increased the probability of an Apgar score ≤ 5 after 5 minutes (p = 0.008; 95% CI 1.29 – 3.3 and p = 0.037; 95% CI 0.60 – 1.00 respectively). When the baby was born at night or at the weekend/on a public holiday, the probability of the baby having a postpartum Apgar score ≤ 5 after 5 minutes also increased significantly (p = 0.027; 95% CI 1.04 – 2.70). If the times of delivery at night (p = 0.29; 95% CI 0.91 – 1.38) and at the weekend/on a public holiday (p = 0.054; 95% CI 1.0 – 1.51) are considered separately, there was no significant probability. Maternal age over 35 years at delivery (p = 0.40; 95% CI 0.77 – 1.94), BMI over 25 prior to pregnancy (p = 0.11; 95% CI 1.0 – 1.07), weight gain of more than 20 kilograms during pregnancy (p = 0.052; 95% CI 0.43 – 1.05), primiparity (p = 0.63; 95% CI 0.78 – 1.17) and peripartum use of oxytocic agents (p = 0.36; 95% CI 0.70 – 1.14) had no influence on an Apgar score ≤ 5 after 5 minutes ([Table 2]).

Table 2 Univariate analysis of the variables influencing a 5-min Apgar ≤ 5.

Variable

Odds ratio

95% CI

p

Age at delivery > 35 years

1.223

0.7718 – 1.939

0.3982

BMI > 25 prior to pregnancy

1.032

0.9945 – 1.071

0.1087

Weight gain > 20 kg during pregnancy

0.671

0.4268 – 1.054

0.0517

Pathological Doppler

2.061

1.290 – 3.295

0.0079

Primiparity

0.951

0.7748 – 1.168

0.6317

Medical induction of labour

0.774

0.6010 – 0.9966

0.0374

Peripartum use of oxytocic agents

0.895

0.7014 – 1.143

0.3648

Delivery at night

1.119

0.9096 – 1.377

0.2852

Delivery at night or at the weekend/
on public holidays

1.670

1.041 – 2.679

0.0271

Delivery at the weekend

1.228

0.9988 – 1.510

0.0542


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Variables influencing cord arterial pH < 7.10 in univariate analysis

The probability of a baby having a cord arterial pH below 7.1 post partum was significantly increased if the mother had a BMI over 25 prior to pregnancy (p = 0.03; 95% CI 1.02 – 1.48), when it was the motherʼs first delivery (p < 0.0001; 95% CI 1.4 – 1.7), after medical induction of labour (p < 0.0001, 95% CI 1.10 – 1.32), with peripartum use of oxytocic agents (p < 0.0001; 95% CI 1.33 – 1.6), when the delivery was at night (p = 0.013; 95% CI 1.02 – 1.23), at the weekend (p = 0.043; 95% CI 0.91 – 1.25) and when the delivery was at night or at the weekend/on a public holiday (p = 0.0057; 95% CI 1.08 – 1.59). The variables maternal age over 35 years at delivery (p = 0.29; 95% CI 0.71 – 1.11), weight gain of more than 20 kilograms during pregnancy (p = 0.32; 95% CI 0.94 – 1.22) and pathological Doppler prepartum (p = 0.11; 95% CI 0.95 – 1.96) had no influence on cord arterial pH < 7.1 ([Table 3]).

Table 3 Univariate analysis of the variables influencing cord arterial pH < 7.1.

Variable

Odds ratio

95% CI

p

Age at delivery > 35 years

0.8922

0.7129 – 1.107

0.2948

BMI > 25 prior to pregnancy

1.228

1.021 – 1.477

0.0300

Weight gain > 20 kg during pregnancy

1.069

0.9393 – 1.217

0.3195

Pathological Doppler

1.366

0.9536 – 1.957

0.1129

Primiparity

1.543

1.401 – 1.699

< 0.0001

Medical induction of labour

1.208

1.102 – 1.323

< 0.0001

Peripartum use of oxytocic agents

1.453

1.329 – 1.590

< 0.0001

Delivery at night

1.120

1.024 – 1.225

0.0125

Delivery at night or at the weekend/
on public holidays

1.308

1.078 – 1.586

0.0057

Delivery at the weekend

1.067

0.9078 – 1.253

0.0433


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Multivariate analysis for a 5-min Apgar score ≤ 5

Multivariate regression analysis was performed with the variables described above (pathological foetal Doppler, medical induction of labour and time of delivery at night and/or at the weekend/on a public holiday) that significantly increased the probability for a 5-min Apgar score ≤ 5. This did not show any significant association (p = 0.238). The time of delivery at night and/or at the weekend/on a public holiday is therefore not a prognostic factor for a 5-min Apgar score ≤ 5.


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Multivariate analysis for cord arterial pH < 7.10

Multivariate regression analysis was performed with the variables (BMI over 25 prior to pregnancy, primiparity, medical induction of labour, peripartum use of oxytocic agents) that significantly increase the probability for cord arterial pH < 7.10. This showed that the time of delivery (at night and/or at the weekend/on a public holiday) is a prognostic factor for birth of a baby with cord arterial pH < 7.10 (p = 0.025).


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Discussion

In this study we investigated whether foetal morbidity is dependent on the time of delivery in a German university hospital. The result we obtained was that the time of delivery at night or at the weekend/on a public holiday increases the risk for cord arterial pH < 7.10 by 30% compared with delivery on a weekday. However, the time of delivery at night or at the weekend/on a public holiday does not increase the babyʼs risk for a 5-minute Apgar score ≤ 5.

This discrepancy, that the time of delivery at night or at the weekend/on a public holiday increases the risk for cord arterial pH < 7.10 but not for a 5-minute Apgar score ≤ 5, is consistent with various studies that have shown a low correlation between Apgar score and cord arterial pH [15], [16], [17].

There are a few studies that see an association between foetal outcome and time of delivery. In a large cohort study in the US, it was clear that the probability of a 5-minute Apgar score < 7 was 11% higher on a quiet weekend and 29% higher on a busy weekend than on a quiet weekday [18]. Moreover, the study showed that delivery at the weekend increases the probability of admission of the baby to a neonatal intensive care unit and the probability of longer hospitalisation of the mother; in addition, the risk for neonatal seizures increases with delivery on a busy weekend [18]. Palmer et al. studied over 1 million deliveries in the UK [19]. Here, too, an association was shown between the day of delivery (weekday vs. weekend) and foetal and maternal outcome (increased perinatal mortality, increased rate of puerperal infections and increased rate of neonatal injuries) [19]. There are also a few analyses, however, which did not find this “weekend effect” [20], [21], [22].

There have been various attempts to explain why both the foetal and the maternal outcome is poorer at night in many studies compared with deliveries during the day. A possible reason may be the hospital staffʼs sleep deficit. With regard to work performance, the sleep deficit can result in fatigue, impaired cognitive performance, delayed decision making, diminished psychomotor performance and worse mood, which is readily comprehensible for the reader and also well documented [23], [24], [25]. 24 hours without sleep lead to a reduction in cognitive performance comparable to a blood alcohol level of 100 mg/dl [26]. The data on the influence of doctorsʼ sleep deficit and long working hours on clinical outcome is controversial. One retrospective cohort study investigated whether complication rates are increased in operations performed by surgeons or gynaecologists who had been on duty the previous night [27]. Increased complication rates were found for surgeons when the possibility of sleeping was less than six hours. Seen overall, however, an increased complication rate was not found [27]. This is consistent with a retrospective analysis of cardiac surgery procedures, some of which were performed by surgeons who had been on duty the night before and some by surgeons who had not had to work the previous night [28]. No difference in complication rates was found [28]. In a study published by Gawande et al. on operative complications, fatigue or strain was reported by surgeons as the third most frequent cause for mistakes [29]. Various studies about the performance of surgeons in laparoscopic simulation during and after a 24-hour shift arrived at different results. Some showed a deterioration in performance [30], [31], [32], [33], [34]. Two studies showed an improvement, however [35], [36], whereas no difference was found in three further studies [37], [38], [39].

The degree of reduction in performance as a result of fatigue and lack of sleep differs greatly individually [40], [41], [42]. The causes are considered to be specific personal sensitivity to sleep deficit, the individual degree of alertness, the individual quantity of sleep required to feel fully rested and the individual timing of the sleep-wake rhythm [43].

Reduced cognitive performance can also arise due to sleep inertia. Sleep inertia signifies the physiological status of reduced cognitive performance and sensorimotor performance directly after waking. This reduced performance can last between 3 and 10 minutes [44], and effects on performance were still found after two hours in one study [45]. Other studies are lacking, however, especially on the effects on routine clinical work, for example during 24-hour duty periods in which there was sleep.

Possibly, reinforced training (e.g., team training) and electronic systems (e.g., CTG monitoring equipment) are suitable to reduce these human limitations. There are no studies of this.

The “weekend effect” must be discussed in a further attempt to explain poorer foetal and maternal outcome at the weekend. There have been a few studies from different specialties and countries showing that patient mortality is increased when they are admitted to hospital at the weekend compared with admission on a weekday [46], [47]. It is suggested that the weekend effect is due particularly to poorer medical care. Fewer staff work at the weekend than on weekdays [48], [49], [50]. The staff on duty are often younger and less experienced [51], [52].

To put the validity of many of the aforementioned studies into perspective, it should be noted that many of them are retrospective analyses, which obtained their data from the hospitalsʼ coding systems [46], [47], [53], [54]. It is well known, however, that coding is often incorrect, especially with emergency admissions [55], [56].

Chronobiological mechanisms must also be considered as a further possible cause for a poorer foetal outcome at night. The physiological onset of labour is often between midnight and 2 a. m. Ruffieux et al. showed that this correlates with delivery in the course of the forenoon with a normal birth weight and good foetal outcome [57].

Other studies indicate that the duration of labour and mode of delivery are dependent on the motherʼs sleep quality and quantity before the birth. Mothers who had little sleep or frequent sleep interruptions had significantly longer labours and more frequent sections [58], [59].

Moreover, according to Lindow et al., the concentration of oxytocin in maternal blood is higher at night than during the day [60]. What effects this has on the course of labour is unknown, however. Caughey et al. discussed whether non-symptom-guided use of oxytocin at night might lead rather to uterine hyperstimulation with the risk of foetal asphyxia [20].


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Conclusion for Practice

Even though the study showed that the time of delivery at night, at the weekend or on public holidays increases the risk for cord arterial pH < 7.10, the clinical relevance of this finding is not high. The reason is, on the one hand, that a low cord arterial pH per se is a rare event (2.74% of all births) and, on the other hand, that this is followed by increased perinatal morbidity only in very few cases. It is nevertheless important for the obstetric team to be aware of the risk for a possibly poorer foetal outcome at night, at the weekend or on public holidays so as to minimise any possible causal factors that can be influenced.


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Conflict of Interest/Interessenkonflikt

The authors declare that they have no conflict of interest./
Die Autoren geben an, dass kein Interessenkonflikt besteht.

  • References/Literatur

  • 1 MacFarlane A. Variations in number of births and perinatal mortality by day of week in England and Wales. Br Med J 1978; 2: 1670-1673
  • 2 Mathers CD. Births and perinatal deaths in Australia: variations by day of week. J Epidemiol Community Health 1983; 37: 57-62
  • 3 Mangold WD. Neonatal mortality by the day of the week in the 1974–75 Arkansas live birth cohort. Am J Public Health 1981; 71: 601-605
  • 4 Lawn JE, Cousens S, Zupan J. et al. 4 million neonatal deaths: when? Where? Why?. Lancet 2005; 365: 891-900
  • 5 Evans K, Rigby AS, Hamilton P. et al. The relationships between neonatal encephalopathy and cerebral palsy: a cohort study. J Obstet Gynaecol 2001; 21: 114-120
  • 6 Lawn J, Shibuya K, Stein C. No cry at birth: global estimates of intrapartum stillbirths and intrapartum-related neonatal deaths. Bull World Health Organ 2005; 83: 409-417
  • 7 Lawn JE, Kerber K, Enweronu-Laryea C. et al. 3.6 million neonatal deaths–what is progressing and what is not?. Semin Perinatol 2010; 34: 371-386
  • 8 Ahearne CE, Boylan GB, Murray DM. Short and long term prognosis in perinatal asphyxia: An update. World J Clin Pediatr 2016; 5: 67-74
  • 9 Robertson CM, Finer NN. Long-term follow-up of term neonates with perinatal asphyxia. Clin Perinatol 1993; 20: 483-500
  • 10 Casey BM, McIntire DD, Leveno KJ. The continuing value of the Apgar score for the assessment of newborn infants. N Engl J Med 2001; 344: 467-471
  • 11 Zorina ZA, Obozova TA. New data on the brain and cognitive abilities of birds. Zoologichesky Zhurnal 2011; 90: 784-802
  • 12 Committee on Obstetric Practice, ACOG; American Academy of Pediatrics, Committee on Fetus and Newborn, ACOG. ACOG Committee Opinion. Number 333, May 2006 (replaces No. 174, July 1996): The Apgar score. Obstet Gynecol 2006; 107: 1209-1212
  • 13 Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften. S2k-Leitlinie: Betreuung von gesunden reifen Neugeborenen in der Geburtsklinik. AWMF-Register Nr. 024/005. 2012. Im Internet: Online: http://www.awmf.org/uploads/tx_szleitlinien/024-005l_S2k_Betreuung_von_gesunden_reifen_Neugeborenen_2012-10.pdf last access: 05.08.2018
  • 14 Goldaber KG, Gilstrap 3rd LC, Leveno KJ. et al. Pathologic fetal acidemia. Obstet Gynecol 1991; 78: 1103-1107
  • 15 Sykes GS, Molloy PM, Johnson P. et al. Do Apgar scores indicate asphyxia?. Lancet 1982; 1: 494-496
  • 16 Sabol BA, Caughey AB. Acidemia in neonates with a 5-minute Apgar score of 7 or greater – What are the outcomes?. Am J Obstet Gynecol 2016; 215: 486.e1-486.e6
  • 17 Socol ML, Garcia PM, Riter S. Depressed Apgar scores, acid-base status, and neurologic outcome. Am J Obstet Gynecol 1994; 170: 991-998 discussion 998–999
  • 18 Snowden JM, Kozhimannil KB, Muoto I. et al. A ‘busy day’ effect on perinatal complications of delivery on weekends: a retrospective cohort study. BMJ Qual Saf 2017; 26: e1
  • 19 Palmer WL, Bottle A, Aylin P. Association between day of delivery and obstetric outcomes: observational study. BMJ 2015; 351: h5774
  • 20 Caughey AB, Urato AC, Lee KA. et al. Time of delivery and neonatal morbidity and mortality. Am J Obstet Gynecol 2008; 199: 496.e1-496.e5
  • 21 Bell EF, Hansen NI, Morriss jr. FH. et al. Impact of timing of birth and resident duty-hour restrictions on outcomes for small preterm infants. Pediatrics 2010; 126: 222-231
  • 22 Aiken CE, Aiken AR, Scott JG. et al. Weekend working: a retrospective cohort study of maternal and neonatal outcomes in a large NHS delivery unit. Eur J Obstet Gynecol Reprod Biol 2016; 199: 5-10
  • 23 Bonnet MH, Arand DL. Clinical effects of sleep fragmentation versus sleep deprivation. Sleep Med Rev 2003; 7: 297-310
  • 24 Halbach MM, Spann CO, Egan G. Effect of sleep deprivation on medical resident and student cognitive function: A prospective study. Am J Obstet Gynecol 2003; 188: 1198-1201
  • 25 Cheng YH, Roach GD, Petrilli RM. Current and future directions in clinical fatigue management: An update for emergency medicine practitioners. Emerg Med Australas 2014; 26: 640-644
  • 26 Dawson D, Reid K. Fatigue, alcohol and performance impairment. Nature 1997; 388: 235
  • 27 Rothschild JM, Keohane CA, Rogers S. et al. Risks of complications by attending physicians after performing nighttime procedures. JAMA 2009; 302: 1565-1572
  • 28 Ellman PI, Law MG, Tache-Leon C. et al. Sleep deprivation does not affect operative results in cardiac surgery. Ann Thorac Surg 2004; 78: 906-911 discussion 906–911
  • 29 Gawande AA, Zinner MJ, Studdert DM. et al. Analysis of errors reported by surgeons at three teaching hospitals. Surgery 2003; 133: 614-621
  • 30 Eastridge BJ, Hamilton EC, OʼKeefe GE. et al. Effect of sleep deprivation on the performance of simulated laparoscopic surgical skill. Am J Surg 2003; 186: 169-174
  • 31 Grantcharov TP, Bardram L, Funch-Jensen P. et al. Laparoscopic performance after one night on call in a surgical department: prospective study. BMJ 2001; 323: 1222-1223
  • 32 Taffinder NJ, McManus IC, Gul Y, Russell RC. et al. Effect of sleep deprivation on surgeonsʼ dexterity on laparoscopy simulator. Lancet 1998; 352: 1191
  • 33 Kahol K, Leyba MJ, Deka M. et al. Effect of fatigue on psychomotor and cognitive skills. Am J Surg 2008; 195: 195-204
  • 34 Lingenfelser T, Kaschel R, Weber A. et al. Young hospital doctors after night duty: their task-specific cognitive status and emotional condition. Med Educ 1994; 28: 566-572
  • 35 Jensen A, Milner R, Fisher C. et al. Short-term sleep deficits do not adversely affect acquisition of laparoscopic skills in a laboratory setting. Surg Endosc 2004; 18: 948-953
  • 36 DeMaria EJ, McBride CL, Broderick TJ. et al. Night call does not impair learning of laparoscopic skills. Surg Innov 2005; 12: 145-149
  • 37 Uchal M, Tjugum J, Martinsen E. et al. The impact of sleep deprivation on product quality and procedure effectiveness in a laparoscopic physical simulator: a randomized controlled trial. Am J Surg 2005; 189: 753-757
  • 38 Amirian I, Andersen LT, Rosenberg J. et al. Laparoscopic skills and cognitive function are not affected in surgeons during a night shift. J Surg Educ 2014; 71: 543-550
  • 39 Lehmann KS, Martus P, Little-Elk S. et al. Impact of sleep deprivation on medium-term psychomotor and cognitive performance of surgeons: prospective cross-over study with a virtual surgery simulator and psychometric tests. Surgery 2010; 147: 246-254
  • 40 Van Dongen HP, Caldwell jr. JA, Caldwell JL. Investigating systematic individual differences in sleep-deprived performance on a high-fidelity flight simulator. Behav Res Methods 2006; 38: 333-343
  • 41 Leproult R, Colecchia EF, Berardi AM. et al. Individual differences in subjective and objective alertness during sleep deprivation are stable and unrelated. Am J Physiol Regul Integr Comp Physiol 2003; 284: R280-R290
  • 42 Van Dongen HP, Maislin G, Dinges DF. Dealing with inter-individual differences in the temporal dynamics of fatigue and performance: importance and techniques. Aviat Space Environ Med 2004; 75 (3 Suppl.): A147-A154
  • 43 Van Dongen HP. Shift work and inter-individual differences in sleep and sleepiness. Chronobiol Int 2006; 23: 1139-1147
  • 44 Wertz AT, Ronda JM, Czeisler CA. et al. Effects of sleep inertia on cognition. JAMA 2006; 295: 163-164
  • 45 Jewett ME, Wyatt JK, Ritz-De Cecco A. et al. Time course of sleep inertia dissipation in human performance and alertness. J Sleep Res 1999; 8: 1-8
  • 46 Bell CM, Redelmeier DA. Mortality among patients admitted to hospitals on weekends as compared with weekdays. N Engl J Med 2001; 345: 663-668
  • 47 Aylin P, Yunus A, Bottle A. et al. Weekend mortality for emergency admissions. A large, multicentre study. Qual Saf Health Care 2010; 19: 213-217
  • 48 Tarnow-Mordi WO, Hau C, Warden A. et al. Hospital mortality in relation to staff workload: a 4-year study in an adult intensive-care unit. Lancet 2000; 356: 185-189
  • 49 Czaplinski C, Diers D. The effect of staff nursing on length of stay and mortality. Med Care 1998; 36: 1626-1638
  • 50 Kovner C, Gergen PJ. Nurse staffing levels and adverse events following surgery in U.S. hospitals. Image J Nurs Sch 1998; 30: 315-321
  • 51 Thorpe KE. House staff supervision and working hours. Implications of regulatory change in New York State. JAMA 1990; 263: 3177-3181
  • 52 McKee M, Black N. Does the current use of junior doctors in the United Kingdom affect the quality of medical care?. Soc Sci Med 1992; 34: 549-558
  • 53 Freemantle N, Ray D, McNulty D. et al. Increased mortality associated with weekend hospital admission: a case for expanded seven day services?. BMJ 2015; 351: h4596
  • 54 Freemantle N, Richardson M, Wood J. et al. Weekend hospitalization and additional risk of death: an analysis of inpatient data. J R Soc Med 2012; 105: 74-84
  • 55 Nouraei SA, Virk JS, Hudovsky A. et al. Accuracy of clinician-clinical coder information handover following acute medical admissions: implication for using administrative datasets in clinical outcomes management. J Public Health (Oxf) 2016; 38: 352-362
  • 56 Li L, Rothwell PM, Oxford Vascular S. Biases in detection of apparent “weekend effect” on outcome with administrative coding data: population based study of stroke. BMJ 2016; 353: i2648
  • 57 Ruffieux C, Marazzi A, Paccaud F. The circadian rhythm of the perinatal mortality rate in Switzerland. Am J Epidemiol 1992; 135: 936-952
  • 58 Lee KA, Gay CL. Sleep in late pregnancy predicts length of labor and type of delivery. Am J Obstet Gynecol 2004; 191: 2041-2046
  • 59 Naghi I, Keypour F, Ahari SB. et al. Sleep disturbance in late pregnancy and type and duration of labour. J Obstet Gynaecol 2011; 31: 489-491
  • 60 Lindow SW, Newham A, Hendricks MS. et al. The 24-hour rhythm of oxytocin and beta-endorphin secretion in human pregnancy. Clin Endocrinol (Oxf) 1996; 45: 443-446

Correspondence/Korrespondenzadresse

Julia von Ehr
Klinik für Frauenheilkunde und Geburtshilfe
Medizinische Hochschule Hannover
Carl-Neuberg-Straße 1
30625 Hannover
Germany   

  • References/Literatur

  • 1 MacFarlane A. Variations in number of births and perinatal mortality by day of week in England and Wales. Br Med J 1978; 2: 1670-1673
  • 2 Mathers CD. Births and perinatal deaths in Australia: variations by day of week. J Epidemiol Community Health 1983; 37: 57-62
  • 3 Mangold WD. Neonatal mortality by the day of the week in the 1974–75 Arkansas live birth cohort. Am J Public Health 1981; 71: 601-605
  • 4 Lawn JE, Cousens S, Zupan J. et al. 4 million neonatal deaths: when? Where? Why?. Lancet 2005; 365: 891-900
  • 5 Evans K, Rigby AS, Hamilton P. et al. The relationships between neonatal encephalopathy and cerebral palsy: a cohort study. J Obstet Gynaecol 2001; 21: 114-120
  • 6 Lawn J, Shibuya K, Stein C. No cry at birth: global estimates of intrapartum stillbirths and intrapartum-related neonatal deaths. Bull World Health Organ 2005; 83: 409-417
  • 7 Lawn JE, Kerber K, Enweronu-Laryea C. et al. 3.6 million neonatal deaths–what is progressing and what is not?. Semin Perinatol 2010; 34: 371-386
  • 8 Ahearne CE, Boylan GB, Murray DM. Short and long term prognosis in perinatal asphyxia: An update. World J Clin Pediatr 2016; 5: 67-74
  • 9 Robertson CM, Finer NN. Long-term follow-up of term neonates with perinatal asphyxia. Clin Perinatol 1993; 20: 483-500
  • 10 Casey BM, McIntire DD, Leveno KJ. The continuing value of the Apgar score for the assessment of newborn infants. N Engl J Med 2001; 344: 467-471
  • 11 Zorina ZA, Obozova TA. New data on the brain and cognitive abilities of birds. Zoologichesky Zhurnal 2011; 90: 784-802
  • 12 Committee on Obstetric Practice, ACOG; American Academy of Pediatrics, Committee on Fetus and Newborn, ACOG. ACOG Committee Opinion. Number 333, May 2006 (replaces No. 174, July 1996): The Apgar score. Obstet Gynecol 2006; 107: 1209-1212
  • 13 Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften. S2k-Leitlinie: Betreuung von gesunden reifen Neugeborenen in der Geburtsklinik. AWMF-Register Nr. 024/005. 2012. Im Internet: Online: http://www.awmf.org/uploads/tx_szleitlinien/024-005l_S2k_Betreuung_von_gesunden_reifen_Neugeborenen_2012-10.pdf last access: 05.08.2018
  • 14 Goldaber KG, Gilstrap 3rd LC, Leveno KJ. et al. Pathologic fetal acidemia. Obstet Gynecol 1991; 78: 1103-1107
  • 15 Sykes GS, Molloy PM, Johnson P. et al. Do Apgar scores indicate asphyxia?. Lancet 1982; 1: 494-496
  • 16 Sabol BA, Caughey AB. Acidemia in neonates with a 5-minute Apgar score of 7 or greater – What are the outcomes?. Am J Obstet Gynecol 2016; 215: 486.e1-486.e6
  • 17 Socol ML, Garcia PM, Riter S. Depressed Apgar scores, acid-base status, and neurologic outcome. Am J Obstet Gynecol 1994; 170: 991-998 discussion 998–999
  • 18 Snowden JM, Kozhimannil KB, Muoto I. et al. A ‘busy day’ effect on perinatal complications of delivery on weekends: a retrospective cohort study. BMJ Qual Saf 2017; 26: e1
  • 19 Palmer WL, Bottle A, Aylin P. Association between day of delivery and obstetric outcomes: observational study. BMJ 2015; 351: h5774
  • 20 Caughey AB, Urato AC, Lee KA. et al. Time of delivery and neonatal morbidity and mortality. Am J Obstet Gynecol 2008; 199: 496.e1-496.e5
  • 21 Bell EF, Hansen NI, Morriss jr. FH. et al. Impact of timing of birth and resident duty-hour restrictions on outcomes for small preterm infants. Pediatrics 2010; 126: 222-231
  • 22 Aiken CE, Aiken AR, Scott JG. et al. Weekend working: a retrospective cohort study of maternal and neonatal outcomes in a large NHS delivery unit. Eur J Obstet Gynecol Reprod Biol 2016; 199: 5-10
  • 23 Bonnet MH, Arand DL. Clinical effects of sleep fragmentation versus sleep deprivation. Sleep Med Rev 2003; 7: 297-310
  • 24 Halbach MM, Spann CO, Egan G. Effect of sleep deprivation on medical resident and student cognitive function: A prospective study. Am J Obstet Gynecol 2003; 188: 1198-1201
  • 25 Cheng YH, Roach GD, Petrilli RM. Current and future directions in clinical fatigue management: An update for emergency medicine practitioners. Emerg Med Australas 2014; 26: 640-644
  • 26 Dawson D, Reid K. Fatigue, alcohol and performance impairment. Nature 1997; 388: 235
  • 27 Rothschild JM, Keohane CA, Rogers S. et al. Risks of complications by attending physicians after performing nighttime procedures. JAMA 2009; 302: 1565-1572
  • 28 Ellman PI, Law MG, Tache-Leon C. et al. Sleep deprivation does not affect operative results in cardiac surgery. Ann Thorac Surg 2004; 78: 906-911 discussion 906–911
  • 29 Gawande AA, Zinner MJ, Studdert DM. et al. Analysis of errors reported by surgeons at three teaching hospitals. Surgery 2003; 133: 614-621
  • 30 Eastridge BJ, Hamilton EC, OʼKeefe GE. et al. Effect of sleep deprivation on the performance of simulated laparoscopic surgical skill. Am J Surg 2003; 186: 169-174
  • 31 Grantcharov TP, Bardram L, Funch-Jensen P. et al. Laparoscopic performance after one night on call in a surgical department: prospective study. BMJ 2001; 323: 1222-1223
  • 32 Taffinder NJ, McManus IC, Gul Y, Russell RC. et al. Effect of sleep deprivation on surgeonsʼ dexterity on laparoscopy simulator. Lancet 1998; 352: 1191
  • 33 Kahol K, Leyba MJ, Deka M. et al. Effect of fatigue on psychomotor and cognitive skills. Am J Surg 2008; 195: 195-204
  • 34 Lingenfelser T, Kaschel R, Weber A. et al. Young hospital doctors after night duty: their task-specific cognitive status and emotional condition. Med Educ 1994; 28: 566-572
  • 35 Jensen A, Milner R, Fisher C. et al. Short-term sleep deficits do not adversely affect acquisition of laparoscopic skills in a laboratory setting. Surg Endosc 2004; 18: 948-953
  • 36 DeMaria EJ, McBride CL, Broderick TJ. et al. Night call does not impair learning of laparoscopic skills. Surg Innov 2005; 12: 145-149
  • 37 Uchal M, Tjugum J, Martinsen E. et al. The impact of sleep deprivation on product quality and procedure effectiveness in a laparoscopic physical simulator: a randomized controlled trial. Am J Surg 2005; 189: 753-757
  • 38 Amirian I, Andersen LT, Rosenberg J. et al. Laparoscopic skills and cognitive function are not affected in surgeons during a night shift. J Surg Educ 2014; 71: 543-550
  • 39 Lehmann KS, Martus P, Little-Elk S. et al. Impact of sleep deprivation on medium-term psychomotor and cognitive performance of surgeons: prospective cross-over study with a virtual surgery simulator and psychometric tests. Surgery 2010; 147: 246-254
  • 40 Van Dongen HP, Caldwell jr. JA, Caldwell JL. Investigating systematic individual differences in sleep-deprived performance on a high-fidelity flight simulator. Behav Res Methods 2006; 38: 333-343
  • 41 Leproult R, Colecchia EF, Berardi AM. et al. Individual differences in subjective and objective alertness during sleep deprivation are stable and unrelated. Am J Physiol Regul Integr Comp Physiol 2003; 284: R280-R290
  • 42 Van Dongen HP, Maislin G, Dinges DF. Dealing with inter-individual differences in the temporal dynamics of fatigue and performance: importance and techniques. Aviat Space Environ Med 2004; 75 (3 Suppl.): A147-A154
  • 43 Van Dongen HP. Shift work and inter-individual differences in sleep and sleepiness. Chronobiol Int 2006; 23: 1139-1147
  • 44 Wertz AT, Ronda JM, Czeisler CA. et al. Effects of sleep inertia on cognition. JAMA 2006; 295: 163-164
  • 45 Jewett ME, Wyatt JK, Ritz-De Cecco A. et al. Time course of sleep inertia dissipation in human performance and alertness. J Sleep Res 1999; 8: 1-8
  • 46 Bell CM, Redelmeier DA. Mortality among patients admitted to hospitals on weekends as compared with weekdays. N Engl J Med 2001; 345: 663-668
  • 47 Aylin P, Yunus A, Bottle A. et al. Weekend mortality for emergency admissions. A large, multicentre study. Qual Saf Health Care 2010; 19: 213-217
  • 48 Tarnow-Mordi WO, Hau C, Warden A. et al. Hospital mortality in relation to staff workload: a 4-year study in an adult intensive-care unit. Lancet 2000; 356: 185-189
  • 49 Czaplinski C, Diers D. The effect of staff nursing on length of stay and mortality. Med Care 1998; 36: 1626-1638
  • 50 Kovner C, Gergen PJ. Nurse staffing levels and adverse events following surgery in U.S. hospitals. Image J Nurs Sch 1998; 30: 315-321
  • 51 Thorpe KE. House staff supervision and working hours. Implications of regulatory change in New York State. JAMA 1990; 263: 3177-3181
  • 52 McKee M, Black N. Does the current use of junior doctors in the United Kingdom affect the quality of medical care?. Soc Sci Med 1992; 34: 549-558
  • 53 Freemantle N, Ray D, McNulty D. et al. Increased mortality associated with weekend hospital admission: a case for expanded seven day services?. BMJ 2015; 351: h4596
  • 54 Freemantle N, Richardson M, Wood J. et al. Weekend hospitalization and additional risk of death: an analysis of inpatient data. J R Soc Med 2012; 105: 74-84
  • 55 Nouraei SA, Virk JS, Hudovsky A. et al. Accuracy of clinician-clinical coder information handover following acute medical admissions: implication for using administrative datasets in clinical outcomes management. J Public Health (Oxf) 2016; 38: 352-362
  • 56 Li L, Rothwell PM, Oxford Vascular S. Biases in detection of apparent “weekend effect” on outcome with administrative coding data: population based study of stroke. BMJ 2016; 353: i2648
  • 57 Ruffieux C, Marazzi A, Paccaud F. The circadian rhythm of the perinatal mortality rate in Switzerland. Am J Epidemiol 1992; 135: 936-952
  • 58 Lee KA, Gay CL. Sleep in late pregnancy predicts length of labor and type of delivery. Am J Obstet Gynecol 2004; 191: 2041-2046
  • 59 Naghi I, Keypour F, Ahari SB. et al. Sleep disturbance in late pregnancy and type and duration of labour. J Obstet Gynaecol 2011; 31: 489-491
  • 60 Lindow SW, Newham A, Hendricks MS. et al. The 24-hour rhythm of oxytocin and beta-endorphin secretion in human pregnancy. Clin Endocrinol (Oxf) 1996; 45: 443-446

Zoom Image
Fig. 1 Percentage distribution of deliveries with a cord arterial pH < 7.1 or 5-min Apgar score ≤ 5 depending on the time of delivery on weekdays during the day, weekdays at night and at the weekend.
Zoom Image
Abb. 1 Prozentuale Verteilung der Geburtenzahlen mit einem NApH-Wert < 7,1 oder einem 5-Minuten-Apgar ≤ 5 in Abhängigkeit vom Zeitpunkt der Entbindung werktags tagsüber, werktags nachts sowie am Wochenende.