Keywords
Umbilical Cord Blood Gas Analysis - delivery - morbidity - neonatology
Palavras-chave
gasometria do cordão umbilical - parto - morbilidade - neonatologia
Introduction
Fetal and neonatal acidemia are associated with several adverse neonatal outcomes.[1]
[2]
[3]
[4]
[5]
[6]
[7] These outcomes include low Apgar scores, respiratory distress syndrome (RDS), hypoxic-ischemic
encephalopathy (HIE), seizures, intraventricular hemorrhage, sepsis, and death.[1]
[2]
[3]
[4]
[5]
[6]
[7] Determining the time of injury is essential to understand the mechanisms underlying
these outcomes and can have important medico-legal implications. The umbilical cord
blood gas analysis (UCBGA) is an objective and validated tool to evaluate the oxygenation
and metabolic status of the newborn at birth.[1]
[2]
[3]
[4]
[5]
[6] If the umbilical artery pH (pHua) is ≤7.00 and the umbilical artery base deficit (BDua) is ≥12.00 mmol/L, there is an established diagnosis of neonatal metabolic acidemia,
and the risk of neurologic sequelae is higher in this setting.[1]
[2]
[3]
[6]
[8] Although the pHua is a well-established marker of neonatal hypoxia, the BDua is not. The BDua is useful in distinguishing between respiratory and metabolic umbilical artery acidemia.[1]
[2]
[3]
[4]
[5]
[6]
[9] This distinction is important because respiratory acidosis is not usually associated
with complications for the newborn.[10]
[11] Performing an UCBGA remains a good screening test for newborns at risk of poor neurologic
outcome.[4]
[12]
[13] It can be recommended for all high-risk deliveries.[4]
[12] The Royal College of Obstetricians and Gynaecologists recommends that an UCBGA should
be performed in all cesarean or operative vaginal deliveries executed due to fetal
compromise.[12] The American College of Obstetricians and Gynecologists states that an UCBGA should
be performed after any delivery in which a fetal metabolic abnormality is suspected.[13] The main aim of the present study was to analyze whether pHua ≤7.00 and BDua ≥12.00 mmol/L were good predictors of adverse neonatal outcomes. The secondary aim
of the present study was to determine if there was any association between these outcomes
and other potential risk factors that could act as confounders.
Methods
This was an observational, longitudinal and retrospective cohort study conducted between
September 2013 and September 2015, at the department of obstetrics and gynecology
of Centro Hospitalar Tondela Viseu. All women who delivered in the labor ward and
had a valid UCBGA according to the local protocol ([Table 1]) were included.
Table 1
Indications for performing umbilical cord blood gas analysis
Maternal thyroid disease
|
Assisted reproductive technology
|
Multiple pregnancy
|
Fetal growth restriction and/or another fetal pathology
|
Non-reassuring fetal cardiotocographic pattern
|
Intrapartum fever
|
Preterm delivery
|
Instrumental delivery
|
Low Apgar score (< 8 at any minute) or decreasing Apgar score
|
Low birthweight (< 2,500 g) or small newborn for gestational age
|
All cases of multiple pregnancies, fetal growth restrictions, preeclampsia, intrapartum
fever, preterm delivery, pelvic vaginal delivery, antenatal or postnatal diagnosis
of cardiac malformations and low birthweight newborn were excluded ([Fig. 1]). Valid samples had a difference of ≥0.03 between pHua and umbilical vein pH.
Fig. 1 Study's sample exclusion criteria.
The total cohort data was analyzed. A subsequent group analysis was also done: group
A, which included the UCBGA performed for non-reassuring fetal cardiotocography (CTG)
patterns or placental abruption, and group B, which included all the remaining cases.
The purpose of the group analysis was to check for a stronger association of pHua ≤7.00 and BDua ≥12.00 mmol/L in group A and to find out if the predictive value of
pHua ≤7.00 and BDua ≥12.00 mmol/L for adverse neonatal outcomes was stronger in group
A than in group B. Data was collected through the review of electronic and manuscript
clinical files.
In the UCBGA technique used, the cord was triple-clamped immediately after delivery
with an in-between length of ∼ 10 to 20 cm. The distal segment was then cut and placed
over a table, where the blood samples were taken, first from the artery and then from
the vein. Preheparinised syringes (Pro-Vent®, Smiths medical ASD, Inc., Keene, New Hampshire, USA) were used. The samples were
analyzed within a maximum of 30 minutes at the hospital central laboratory, and the
results were made electronically available to the team immediately after.
Two neonatal outcome predictors were analyzed: pHua ≤7.00 and BDua ≥12.00 mmol/L.
The adverse neonatal outcomes that were analyzed were:
-
First minute Apgar Score (1′AS) ≤4;
-
Fifth minute Apgar Score (5′AS) ≤ 7;
-
Acute neonatal hypoxia (ANH)—condition in which the newborn has been exposed to intrapartum
reversible asphyxia, without documented HIE;
-
Hypoxic-ischemic encephalopathy—disturbed neurologic function in the earliest days
of life, manifested by a reduced level of consciousness or seizures, often accompanied
by difficulty at initiating and maintaining respiration, and by depression of tone
and reflexes, in a newborn with one or more of the following: (a) a sentinel hypoxic
or ischemic event occurring immediately before or during labor and delivery; (b) pHua ≤7.00 and/or BDua ≥12.00 mmol/L; (c) presence of multisystem organ failure consistent with HIE;
-
Neonatal convulsion;
-
Hyaline membrane disease or respiratory distress syndrome type I (RDS I);
-
Transient tachypnea of the newborn or respiratory distress syndrome type II (RDS II);
-
Meconium aspiration syndrome—respiratory distress at or shortly after birth in the
presence of evidence of meconium-stained amniotic fluid on infant and characteristic
radiographic features (hyperinflation of the lungs with flattening of the diaphragm,
diffuse patchy densities alternating with areas of expansion, pneumothorax, and pneumomediastinum);
-
Neonatal bradycardia;
-
Neonatal sepsis—a clinically ill newborn with isolation of pathogenic bacteria from
blood culture or, in its absence, with laboratory test results consistent with infection
(leukopenia or leukocytosis, immature to total neutrophil ratio > 0.16; immature to
mature neutrophil ratio > 0.2; C-reactive protein > 10–15 mg/L and/or procalcitonin > 3
ng/mL); and after exclusion of other infectious causes.
The Analysis was performed using the software SPSS for Windows, Versions 20.0 and
21.0 (IBM Corp., Armonk, NY, USA). Maternal and newborn demographic data and the incidence
of outcomes were compared between the groups with the chi-squared test and the Fisher
exact test. The association between each outcome and the predictors was made through
univariate analysis, calculating the odds ratio (OR) with a 95% confidence interval
(CI). The Wald test was applied to the outcomes with a statistically significantly
association with one or both predictors to check if the ORs were different between
the groups and to decide whether to analyze them separately for each group or in the
total cohort. Independent predictors of three outcomes were obtained with two multivariate
analyses with multiple logistic regressions. The multivariate analysis models were
tested with the Hosmer and Lemeshow test and receiver operating characteristic curves.
The possible confounders tested were: (a) maternal age (< 35 versus ≥35 years old);
(b) parity (nulliparity versus multiparity); (c) gestational age (37–38 versus ≥39
weeks); (d) presence of insulin treated and non-insulin treated gestational diabetes;
(e) urologic problems during pregnancy (such as recurrent cystitis, pyelonephritis,
hydronephrosis, and hydroureter); (e) presence of oligohydramnios; (f) mode of delivery;
(g) shoulder dystocia at birth; (h) newborn gender; (i) newborn birthweight (< 4,000 g
versus ≥4,000 g); (j) presence of neonatal sepsis; and (k) presence of neonatal seizures.
The significance level was 5% (p < 0.05).
The Ethics Committee for Health of the authors' institution approved the present study
under the reference number 21/4/2017/1, on April 21st, 2017.
Results
The main characteristics of the cohort are listed in [Table 2].
Table 2
Characteristics of the cohort
Variables
|
Total cohort
|
Group A
|
Group B
|
|
|
n
|
%
|
n
|
%
|
n
|
%
|
p-value
|
Maternal age (years old)
|
|
|
|
|
|
|
0.957
|
≤ 19
|
10
|
2.3
|
1
|
0.6
|
9
|
3.6
|
20–24
|
36
|
8.4
|
16
|
9.1
|
20
|
7.9
|
25–29
|
117
|
27.3
|
52
|
29.7
|
65
|
25.7
|
30–34
|
158
|
36.9
|
62
|
35.4
|
96
|
37.9
|
35–37
|
57
|
13.3
|
27
|
15.4
|
30
|
11.9
|
≥ 38
|
50
|
11.7
|
17
|
9.7
|
33
|
13.0
|
Parity
|
|
|
|
|
|
|
0.092
|
Nulliparous
|
291
|
68.0
|
111
|
63.4
|
180
|
71.1
|
Multiparous
|
137
|
21.0
|
64
|
36.6
|
73
|
28.9
|
Insulin treated gestational diabetes
|
|
|
|
|
|
|
0.714
|
No
|
409
|
95.6
|
168
|
96.0
|
241
|
95.3
|
Yes
|
19
|
4.4
|
7
|
4.0
|
12
|
4.7
|
Non-insulin treated gestational diabetes
|
|
|
|
|
|
|
1.000
|
No
|
419
|
97.9
|
171
|
97.7
|
248
|
98.0
|
Yes
|
9
|
2.1
|
4
|
2.3
|
5
|
2.0
|
Gestational hypertension
|
|
|
|
|
|
|
0.481
|
No
|
420
|
98.1
|
173
|
97.7
|
247
|
97.6
|
Yes
|
8
|
1.9
|
2
|
2.3
|
6
|
2.4
|
Urologic problems during pregnancy
|
|
|
|
|
|
|
0.164
|
No
|
423
|
98.8
|
171
|
97.7
|
252
|
99.6
|
Yes
|
5
|
1.2
|
4
|
2.3
|
1
|
0.4
|
Oligohydramnios
|
|
|
|
|
|
|
0.481
|
No
|
420
|
98.1
|
173
|
98.9
|
247
|
97.6
|
Yes
|
8
|
1.9
|
2
|
1.1
|
6
|
2.4
|
Gestational age at birth (gestational weeks)
|
|
|
|
|
|
|
0.667
|
37–38
|
75
|
17.5
|
29
|
16.6
|
46
|
18.2
|
≥ 39
|
353
|
82.5
|
146
|
83.4
|
207
|
81.8
|
Delivery
|
|
|
|
|
|
|
0.000
|
Normal vaginal
|
25
|
5.8
|
9
|
5.1
|
16
|
6.3
|
Vacuum
|
239
|
55.8
|
80
|
55.8
|
159
|
62.8
|
Forceps
|
30
|
7.0
|
9
|
5.1
|
21
|
8.3
|
Caesarean section
|
134
|
31.3
|
175
|
44.0
|
57
|
22.5
|
UCBGA motive
|
|
|
|
|
|
|
0.000
|
Control
|
14
|
3.3
|
0
|
0.0
|
14
|
5.5
|
Assisted reproductive technology
|
1
|
0.2
|
0
|
0.0
|
1
|
0.4
|
Small for gestational age newborn
|
1
|
0.2
|
0
|
0.0
|
1
|
0.4
|
Instrumental delivery
|
235
|
54.9
|
0
|
0.0
|
235
|
92.9
|
Non-reassuring fetal CTG pattern
|
171
|
40.0
|
171
|
97.7
|
0
|
0.0
|
Placental abruption
|
4
|
0.9
|
4
|
2.3
|
0
|
0.0
|
Shoulder dystocia
|
2
|
0.5
|
0
|
0.0
|
2
|
0.8
|
Gender
|
|
|
|
|
|
|
0.015
|
Female
|
184
|
43.0
|
63
|
36.0
|
121
|
47.8
|
Male
|
244
|
57.0
|
112
|
64.0
|
132
|
52.2
|
Birthweight (grams)
|
|
|
|
|
|
|
0.013
|
< 4,000
|
415
|
97.0
|
174
|
99.4
|
241
|
95.3
|
≥ 4,000
|
13
|
3.0
|
1
|
0.6
|
12
|
4.7
|
Total
|
428
|
100.0
|
175
|
100.0
|
253
|
100.0
|
|
Abbreviations: CTG, cardiotocographic; UCBGA, umbilical cord blood gas analysis.
The mean maternal age did not differ significantly between the groups; it was 31.0 ± 5.1
and 30.8 ± 5.3 years old in groups A and B, respectively (p = 0.809). In addition, there were no major differences in the distribution of maternal
age between the age groups (p = 0.957). In both groups, the majority of women was nulliparous (63.4% in group A
versus 71.1% in group B, p = 0.092). Few women had a diagnosis of gestational diabetes, gestational hypertension,
or urologic problems during pregnancy. Only two women in group A and six women in
group B had oligohydramnios (p = 0.481).
The mean gestational age at delivery was similar between the groups (39.45 ± 1.02
weeks in group A versus 39.36 ± 1.06 weeks in group B; p = 0.380), and most women delivered at 39 weeks or beyond (83.4% in group A versus
81.8% in group B; p = 0.667). Vacuum assisted delivery was the most common birth type in both groups
(45.7% versus 62.8% in groups A and B, respectively) and the caesarean rate was higher
in group A (44.4% versus 22.5%; p = 0.000). The most frequent reason to perform an UCBGA in group A was a non-reassuring
fetal CTG pattern (n = 171; 97.7%), while in group B it was instrumental delivery (n = 235; 92.9%). The women in group A were more likely to have male newborns (64.0%
versus 52.2%; p = 0.015), although the male gender predominated in both groups. The mean birthweight
was higher in group B (3,254.14 ± 337.48 versus 3,345.85 ± 407.09 g; p = 0.012) and the women in group B were more likely to have macrosomic newborns (0.6%
versus 4.7%; p = 0.013).
In group A, the mean pHua was lower (7.16 ± 0.10 versus 7.20 ± 0.08; p = 0.000) and the mean BDua was higher (5.10 ± 3.84 versus 4.12 ± 3.74 mmol/L; p = 0.009) than in group B. The newborns from group A were more likely to have pHua ≤7.00, but not BDua ≥12.00 mmol/L (p = 0.002 and p = 0.721, respectively) ([Table 3]).
Table 3
Descriptive statistics of neonatal outcome predictors
Variables
|
Total cohort
|
Group A
|
Group B
|
|
|
n
|
%
|
n
|
%
|
n
|
%
|
p-value
|
pHua
|
|
|
|
|
|
|
0.002
|
≤ 7.00
|
17
|
4.0
|
13
|
7.4
|
4
|
1.6
|
> 7.00
|
411
|
96.0
|
162
|
92.6
|
249
|
98.4
|
BDua (mmol/L)
|
|
|
|
|
|
|
0.721
|
≥ 12.00
|
8
|
1.9
|
4
|
2.3
|
4
|
1.6
|
< 12.00
|
420
|
98.1
|
171
|
97.7
|
249
|
98.4
|
Abbreviations: BDua, umbilical artery blood deficit; pHua, umbilical artery pH.
All eight cases of BDua ≥12.00 mmol/L in group A also had pHua ≤7.00. Considering the total cohort, newborns with pHua ≤7.00 were more likely to have BDua ≥12.00 mmol/L (p = 0.000) and vice-versa (p = 0.000). There were no statistically significant differences between the groups
pHua ≤7.00 and pHua > 7.00 and the groups BDua ≥12.00 mmol/L and BDua < 12.00 mmol/L regarding any of the potentially confounders analyzed. Among all newborns,
26 in group A and 23 in group B had at least one adverse neonatal outcome (14.9% versus
9.1%; p = 0.065) ([Table 4]).
Table 4
Descriptive statistics of neonatal outcomes
Variables
|
Total cohort
|
Group A
|
Group B
|
|
|
n
|
%
|
n
|
%
|
n
|
%
|
p-value
|
Adverse neonatal outcome
|
|
|
|
|
|
|
0.065
|
No
|
379
|
88.6
|
149
|
85.1
|
230
|
90.9
|
Yes
|
49
|
11.4
|
26
|
14.9
|
23
|
9.1
|
1′AS
|
|
|
|
|
|
|
0.078
|
≤ 4
|
416
|
97.2
|
8
|
4.6
|
4
|
1.6
|
> 4
|
12
|
2.8
|
167
|
95.4
|
249
|
98.4
|
5′ AS
|
|
|
|
|
|
|
0.020
|
≤ 7
|
421
|
98.4
|
6
|
3.4
|
1
|
0.4
|
> 7
|
7
|
1.6
|
169
|
96.6
|
252
|
99.6
|
ANH
|
|
|
|
|
|
|
0.189
|
No
|
408
|
95.3
|
164
|
93.7
|
244
|
96.4
|
Yes
|
20
|
4.7
|
11
|
6.3
|
9
|
3.6
|
HIE
|
|
|
|
|
|
|
1.000
|
No
|
427
|
99.8
|
175
|
100.0
|
252
|
99.6
|
Yes
|
1
|
0.2
|
0
|
0.0
|
1
|
0.4
|
Neonatal seizures
|
|
|
|
|
|
|
1.000
|
No
|
426
|
99.5
|
174
|
99.4
|
252
|
99.6
|
Yes
|
2
|
0.5
|
1
|
0.6
|
1
|
0.4
|
RDS I
|
|
|
|
|
|
|
0.057
|
No
|
417
|
97.4
|
167
|
95.4
|
250
|
98.8
|
Yes
|
11
|
2.6
|
8
|
4.6
|
3
|
1.2
|
RDS II
|
|
|
|
|
|
|
0.203
|
No
|
412
|
96.3
|
9
|
5.1
|
246
|
97.2
|
Yes
|
16
|
3.7
|
166
|
94.9
|
7
|
2.8
|
Meconium aspiration syndrome
|
|
|
|
|
|
|
|
No
|
424
|
99.1
|
173
|
98.9
|
251
|
99.2
|
1.000
|
Yes
|
4
|
0.9
|
2
|
1.1
|
2
|
0.8
|
Neonatal bradycardia
|
|
|
|
|
|
|
|
No
|
423
|
98.8
|
174
|
99.4
|
249
|
98.4
|
0.653
|
Yes
|
5
|
1.2
|
1
|
0.6
|
4
|
1.6
|
Neonatal sepsis
|
|
|
|
|
|
|
1.000
|
No
|
424
|
99.1
|
173
|
98.9
|
251
|
99.2
|
Yes
|
4
|
0.9
|
2
|
1.1
|
2
|
0.8
|
Abbreviations: 1′ AS, first minute Apgar score; 5′ AS, fifth minute Apgar score; ANH,
acute neonatal hypoxia; HIE, hypoxic-ischemic encephalopathy; RDS, respiratory distress
syndrome.
The only neonatal outcome that had a statistically significant difference between
the groups (3.4% versus 0.4%, p = 0.020) was 5′ AS ≤7. In the total cohort, there was only one case of HIE, which
occurred in group B. It was a 40-week pregnancy, with the diagnosis of gestational
hypertension and oligohydramnios, ending in a vacuum-assisted delivery due to a second
stage arrest of labor. The 3,150 g male newborn had a 1′ AS = 3 and a 5′ AS = 7. The
pHua was 6.85 and the BDua was 18.90. The results of the univariate regression analyses of association between
neonatal outcomes and pHua ≤7.00 or BDua ≥12.00 mmol/L showed five significant associations ([Table 5]):
Table 5
Results of the univariate regression analyses for neonatal outcomes in newborns with
pHua ≤7.00 and BDua ≥12.00 mmol/L
Variables
|
Total cohort
|
Group A
|
Group B
|
|
OR
|
95% CI
|
p-value
|
OR
|
95% CI
|
p-value
|
OR
|
95% CI
|
p-value
|
pHua ≤7.00
|
1′AS ≤4
|
9.57
|
2.33–39.25
|
0.009
|
4.73
|
0.85–26.22
|
0.111
|
27.33
|
2.17–344.29
|
0.062
|
5′AS ≤7
|
10.83
|
1.94–60.40
|
0.028
|
2.62
|
0.28–24.23
|
0.375
|
n.a.
|
n.a.
|
0.016
|
ANH
|
7.60
|
2.23–25.91
|
0.006
|
3.09
|
0.59–16.09
|
0.191
|
34.57
|
4.24–282.06
|
0.007
|
Neonatal seizures
|
n.a.
|
n.a.
|
0.439
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
0.242
|
RDS I
|
2.51
|
0.30–20.79
|
0.363
|
1.85
|
0.21–16.26
|
0.468
|
n.a.
|
n.a.
|
1.000
|
RDS II
|
3.78
|
0.79–18.15
|
0.128
|
4.03
|
0.75–21.74
|
0.136
|
n.a.
|
n.a.
|
1.000
|
Meconium aspiration syndrome
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
Neonatal bradycardia
|
4.17
|
0.46–37.65
|
0.210
|
n.a.
|
n.a.
|
1.000
|
3.92
|
0.40–38.18
|
0.322
|
Neonatal sepsis
|
3.12
|
0.32–30.19
|
3.120
|
n.a.
|
n.a.
|
0.507
|
1.28
|
0.08–20.72
|
1.000
|
BDua ≥12.00 mmol/L
|
1′AS ≤4
|
27.40
|
5.66–132.54
|
0.001
|
27.50
|
3.29–229.68
|
0.011
|
27.33
|
2.17–344.29
|
0.062
|
5′AS ≤7
|
9.86
|
1.04–93.05
|
0.125
|
n.a.
|
n.a.
|
0.016
|
n.a.
|
n.a.
|
1.000
|
ANH
|
7.44
|
1.40–39.49
|
0.049
|
5.37
|
0.51–56.36
|
0.230
|
10.04
|
0.94–107.45
|
0.136
|
Neonatal seizures
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
RDS I
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
RDS II
|
3.86
|
0.45–33–37
|
0.265
|
6.79
|
0.63–71.79
|
0.192
|
n.a.
|
n.a.
|
1.000
|
Meconium aspiration syndrome
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
Neonatal bradycardia
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
Neonatal sepsis
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
n.a.
|
n.a.
|
1.000
|
Abbreviations: 1′ AS, first minute Apgar score; 5′ AS, fifth minute Apgar score; ANH,
acute neonatal hypoxia; BDua, umbilical artery blood deficit; n.a., not applicable; pHua, umbilical artery pH.; RDS, respiratory distress syndrome.
-
pHua ≤7.00 and 1′ AS ≤4 (total cohort: OR = 9.57; 95% CI: 2.33–39.25; p = 0.009);
-
pHua ≤7.00 and 5′ AS ≤7 (total cohort: OR = 10.83; 95% CI: 1.94–60.40; p = 0.028);
-
pHua ≤7.00 and ANH (total cohort: OR = 7.60; 95% CI: 2.23–25.91; p = 0.006; group B: OR = 34.57; 95% CI: 4.24–282.06; p = 0.007);
-
BDua ≥12.00 mmol/L and 1′ AS ≤4 (total cohort: OR = 27.40; 95% CI: 5.66–132.54; p = 0.001; group A: OR = 27.50; 95% CI: 3.29–229.68; p = 0.011);
-
BDua ≥12.00 mmol/L and ANH (total cohort: OR = 7.44; 95% CI: 1.40–39.49; p = 0.049).
In the total cohort, the univariate regression analysis of the association between
these three neonatal outcomes and the possible confounding factors revealed that ([Table 6]):
Table 6
Results of the univariate regression analyses for confounding factors in newborns
with 1′AS ≤4, 5′AS ≤7 and ANH, in total cohort
Variables
|
1′AS ≤ 4
|
5′AS ≤ 7
|
ANH
|
|
OR
|
95% CI
|
p-value
|
OR
|
95% CI
|
p-value
|
OR
|
95% CI
|
p-value
|
Study group
|
2.98
|
0.88–10.06
|
0.078
|
8.95
|
1.97–74.98
|
0.020
|
1.82
|
0.74–4.49
|
0.244
|
Maternal age
|
1.24
|
0.37–4.18
|
1.000
|
0.82
|
0.18–3.70
|
1.000
|
1.15
|
0.45–2.94
|
0.771
|
Parity
|
4.45
|
1.32–15.04
|
0.022
|
5.47
|
1.05–28.58
|
0.037
|
2.74
|
1.11–6.77
|
0.024
|
Insulin treated gestational diabetes
|
2.010
|
0.246
|
0.424
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
Non-insulin treated gestational diabetes
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
Gestational hypertension
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
Urologic problems during pregnancy
|
9.36
|
0.97–90.78
|
0.133
|
17.36
|
1.68–179.44
|
0.080
|
5.32
|
057–49.89
|
0.214
|
Oligohydramnios
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
Gestational age at birth
|
1.06
|
0.23–4.96
|
1.000
|
n.a.
|
n.a.
|
n.a.
|
0.62
|
0.22–1.77
|
0.368
|
Vacuum delivery
|
0.39
|
0.11–1.30
|
0.111
|
1.06
|
0.23–4.77
|
1.000
|
0.63
|
0.26–1.56
|
0.317
|
Forceps delivery
|
2.77
|
0.58–13.27
|
0.202
|
2.25
|
0.26–19.35
|
0.401
|
2.49
|
0.69–9.03
|
0.157
|
Cesarean section
|
2.25
|
0.71–7.11
|
0.205
|
0.88
|
0.17–4.57
|
1.000
|
1.19
|
0.46–3.06
|
0.715
|
Newborn's gender
|
0.43
|
0.12–1.62
|
0.202
|
0.53
|
0.10–2.74
|
0.704
|
0.70
|
0.28–1.80
|
0.460
|
Birthweight
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
Shoulder dystocia
|
9.36
|
0.97–90.78
|
0.133
|
n.a.
|
n.a.
|
n.a.
|
15.00
|
2.36–95.43
|
0.019
|
Neonatal sepsis
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
n.a.
|
Abbreviations: 1′ AS, first minute Apgar score; 5′ AS, fifth minute Apgar score; ANH,
acute neonatal hypoxia; n.a., not applicable.
-
There was a statistically significant association between maternal multiparity and
1′AS ≤4, 5′AS ≤7 and ANH (OR: 4.45; 95% CI: 1.32–15.04; p = 0.022; OR: 5.47; 95% CI: 1.05–28.58; p = 0.037; and OR: 2.74; 95% CI: 1.11–6.77; p = 0.024, respectively)
-
There was a statistically significant association between shoulder dystocia at birth
and ANH (OR: 15.00; 95% CI: 2.36–95.44; p = 0.019).
After the application of the logistic regression models, the conclusions were:
-
Belonging to group A did not affect the occurrence of 1′ AS ≤4, 5′ AS ≤7, or ANH when
compared with group B (p = 0.185; p = 0.098; and p = 0.600, respectively);
-
There was a statistically significant impact of pHua ≤7.00 in the occurrence of ANH (OR: 6.71; 95% CI: 1.21–37.06; p = 0.029), but not in the occurrence of 1′ AS ≤4 or of 5′ AS ≤7 (p = 0.871; and p = 0.130, respectively);
-
Multiparous women had a statistically significant higher risk of delivering a newborn
with 1′ AS ≤4 and ANH (OR: 5.38; 95% CI: 1.35–21.43; p = 0.017; and OR: 2.66; 95% CI: 1.03–6.89; p = 0.043, respectively);
-
Women who had urologic problems during pregnancy had a statistically significantly
higher risk of delivering a newborn with 5′ AS ≤7 (OR: 15.17; 95% CI: 1.29–177.99;
p = 0.030);
-
Shoulder dystocia represents a 15 times higher risk of ANH (OR: 14.82; 95% CI: 2.20–99.60;
p = 0.006).
Discussion
The pHua seems to be a reliable marker for acute peripartum problems and a good predictor
of adverse neonatal outcomes, as has been widely documented in the literature.[1]
[2]
[4]
[5]
[6] The results of the present study support these concepts. In fact, the newborns with
pHua ≤7.00 had a 9.57 times higher risk of 1′ AS ≤4, a 10.83 times higher risk of 5′ AS
≤7, and a 7.6 times higher risk of ANH; and after the multivariate analysis, pHua ≤7.00 remained as an independent predictor of ANH, granting a 6.71 higher risk.
There is no consensus about the importance of BDua as an adverse outcome predictor.[3]
[5]
[6]
[9] In the present study, the risk of 1′AS ≤4 and of ANH was 27.4 and 7.44 higher for
the newborns with BDua ≥12.00 mmol/L, respectively; and after excluding the confounding factors, BDua ≥12.00 mmol/L remained an independent predictor of 1′AS ≤4, increasing its risk almost
52 times.
Shoulder dystocia is a well-known risk factor of neonatal hypoxia. Therefore, it is
not surprising that it significantly increases the risk of ANH. Performing an UCBGA
seems warranted in these situations.
Although there was an association between pHua ≤7.00 and 1′AS ≤4, as well as between pHua ≤7.00 and 5′AS ≤7, belonging to group A did not affect the occurrence of 1′AS ≤4 or
of 5′AS ≤7. This fact can be explained by the findings of Sabol et al,[1] which concluded that newborns with a reassuring Apgar score have a residual risk
of neonatal acidemia. They also concluded that, in this rare setting, the acidemic
newborns have worse outcomes when compared with their non-acidemic counterparts.[1] These findings support the introduction of universal UCBGA as a valuable neonatal
screening test for neonatal hypoxia and its consequences.
Finally, the present study has found two other things that neither were expected nor
clear in the previous literature. The newborns from multiparous women had a 5.38 and
a 2.66 times higher risk of having 1′AS ≤4 and ANH, respectively, when compared with
newborns from nulliparous women. One study of Mgaya et al[14] also found an increased incidence of low Apgar scores in newborns from grand multiparas.
These findings can indicate an increased risk of disturbances in the fetal oxygenation
that would predispose fetuses to a lower oxygen reserve during labor, but more studies
are necessary to understand and validate this association.
The only independent predictor for 5′AS ≤7 in the present study was urologic problems
during pregnancy, which granted a 15.17 times higher risk of this adverse outcome.
This finding is difficult to understand in the light of the current knowledge.
The present study has the limitations of a retrospective cohort: not all of the confounding
variables can be controlled, and the data collected relies on accurate patient files,
except for the UCBGA. In the 56 cases excluded due to limited data, there were 2 cases
of shoulder dystocia and 23 cases of non-reassuring fetal CTG patterns, which may
have caused a bias. Another limitation of the present study is that the UCBGA was
not performed in all deliveries, but this seems to be shared in the majority of UBCGA
studies. Collecting umbilical cord blood samples in emergency situations, like placental
abruption or non-reassuring CTG patterns is difficult. In this study 66 out of the
148 UCBGA that were excluded because of incomplete, non-valid or only one-vessel results
ocurred in such emergency settings, which lead to an inevitable bias. The small cohort
size can justify why the only significant associations found were between pHua ≤7.00 and 1′AS ≤4; between 5′AS ≤7 and ANH; and between BDua ≥12.00 mmol/L and 1′AS ≤4 and ANH. Because only one newborn had HIE and there were
no deaths, it became impossible to assess the relationship between these outcomes
and neonatal pHua ≤7.00 or BDua ≥12.00mmol/L.
In the light of new evidence, the umbilical artery lactate level seems as a reliable
outcome predictor of low Apgar score and of neurologic morbidity[6]
[13] that is directly measured from blood[3]. It is association with medium and long-term neonatal outcomes can be adressed in
future.
Some recent studies argue that the threshold for adverse neonatal outcomes is pHua ≤7.10.[7]
[8] In the cohort of the present study, if the pHua threshold is changed from pHua ≤7.00 to pHua ≤7.10, the number of acidemic neonates increases from 17 to 79, so further studies
can be designed to verify whether there is an association between pHua ≤7.10 and other neonatal outcomes besides 1′AS ≤4; 5′AS ≤7, and ANH.
Additional studies are necessary to understand if multiparity and urologic problems
during pregnancy are true predictors of adverse neonatal outcome; and, if so, what
are the responsible physiopathological mechanisms.
Conclusion
The pHua and the BDua are predictors of adverse neonatal outcomes, and the UCBGA is a useful tool for screening
newborns at risk. The meaning of low pHua and high BDua present in clinically healthy newborns with good Apgar scores remains to be determined,
but the healthy acidemic newborns seem to have worse outcomes when compared with their
non-acidemic counterparts. Therefore, universal UCBGA should be considered for all
deliveries because it is an accurate screening test for neonatal hypoxia.