Literature DB >> 27473834

Survival prediction of high-risk outborn neonates with congenital diaphragmatic hernia from capillary blood gases.

Ruža Grizelj1, Katarina Bojanić2, Ena Pritišanac1, Tomislav Luetić3, Jurica Vuković1, Toby N Weingarten4, Darrell R Schroeder5, Juraj Sprung6.   

Abstract

BACKGROUND: The extent of lung hypoplasia in neonates with congenital diaphragmatic hernia (CDH) can be assessed from gas exchange. We examined the role of preductal capillary blood gases in prognosticating outcome in patients with CDH.
METHODS: We retrospectively reviewed demographic data, disease characteristics, and preductal capillary blood gases on admission and within 24 h following admission for 44 high-risk outborn neonates. All neonates were intubated after delivery due to acute respiratory distress, and were emergently transferred via ground ambulance to our unit between 1/2000 and 12/2014. The main outcome measure was survival to hospital discharge and explanatory variables of interest were preductal capillary blood gases obtained on admission and during the first 24 h following admission.
RESULTS: Higher ratio of preductal partial pressure of oxygen to fraction of inspired oxygen (PcO2/FIO2) on admission predicted survival (AUC = 0.69, P = 0.04). However, some neonates substantially improve PcO2/FIO2 following initiation of treatment. Among neonates who survived at least 24 h, the highest preductal PcO2/FIO2 achieved in the initial 24 h was the strongest predictor of survival (AUC = 0.87, P = 0.002). Nonsurvivors had a mean admission preductal PcCO2 higher than survivors (91 ± 31 vs. 70 ± 25 mmHg, P = 0.02), and their PcCO2 remained high during the first 24 h of treatment.
CONCLUSION: The inability to achieve adequate gas exchange within 24 h of initiation of intensive care treatment is an ominous sign in high-risk outborn neonates with CDH. We suggest that improvement of oxygenation during the first 24 h, along with other relevant clinical signs, should be used when making decisions regarding treatment options in these critically ill neonates.

Entities:  

Keywords:  Capillary blood gases; Clinical prediction; Congenital diaphragmatic hernia; Outborn; Outcome; Risk assessment; Survival

Mesh:

Substances:

Year:  2016        PMID: 27473834      PMCID: PMC4966580          DOI: 10.1186/s12887-016-0658-y

Source DB:  PubMed          Journal:  BMC Pediatr        ISSN: 1471-2431            Impact factor:   2.125


Background

The presence of respiratory distress in neonates with congenital diaphragmatic hernia (CDH) may indicate severe pulmonary hypoplasia, which is a major contributor to morbidity and mortality. In neonates with CDH (i.e., without a concomitant major anomaly or genetic defect), an early presentation of respiratory distress is related to an increased degree of pulmonary hypoplasia [1, 2]. Accurate prediction assessment tools for outcomes of these patients are important because they may be used to rationalize resource management [3-6], guide family counseling, and set benchmarks for severity-based stratification in research [7]. Several newborn illness severity and mortality risk scores are available for CDH neonates [7-10]. For predicting risk of death, the Congenital Diaphragmatic Hernia Study Group (CDHSG) used a logistic regression equation based on birth weight and 5-min Apgar scores [8]. The Wilford Hall/Santa Rosa clinical prediction formula (WHSRPF), uses arterial blood gas values during the initial 24 h of life to estimate survival [7]. The inability to achieve certain levels of pulmonary gas exchange is a good marker of the extent of lung hypoplasia and is associated with increased mortality [11-14]. One study found that admission preductal hemoglobin saturation predicts survival [15]. However, admission blood gas measurements may be an imprecise indicator of true lung function because these might reflect suboptimal ventilation during patient transfer from a local maternity ward to a referral center (outborns). When considering the outborn CDH neonates with high acuity, we hypothesized that several hours of postadmission ventilation may unmask children with efficient vs. non-efficient gas exchange, and therefore that blood gases obtained after treatment is initiated may increase the prognostication accuracy. We report a group of high-risk CDH neonates who were tracheally intubated and ventilated before being transferred from either local or remote hospitals to our center for treatment. We examined their capillary blood gases immediately on admission and subsequent blood gases during the first 24 h after admission to determine their predictive role in survival.

Methods

This study was approved by the Institutional Ethics Committee of the University Hospital Centre (UHC), Zagreb, Croatia. In this retrospective study design, written consent was waived by the Institutional Ethics Committee, and a single approval was obtained for the retrospective chart review.

Study setting

The UHC is the largest Croatian tertiary referral center for neonatal care, but it does not have a maternity ward. Other Croatian hospitals that do have maternity wards do not have the capacity to manage high-risk neonates in need of neonatal surgery. Therefore, all neonates with CDH in this series are outborns.

Patient population

This cohort represented CDH outborns with early respiratory distress (i.e., immediately after birth) requiring emergent tracheal intubation between January 1, 2000, and December 31, 2014, who survived transfer to the UHC for the initiation of intensive care management. Excluded were low-risk neonates with late presentation of respiratory distress and neonates without respiratory distress who received elective intubation for corrective surgery, those with concomitant lethal congenital anomalies, and moribund neonates who received resuscitation on admission but died before intensive care management was instituted.

Neonatal transport management

All neonates were outborns and were transported to the UHC via ground ambulance, sometimes from remote country regions. During transport 9 (20 %) neonates received ventilation through a pressure controlled ventilator integrated in transport incubator (8/13 from distant hospitals in the country, and 1/31 from a local hospital). In the other 35 (80 %), ventilation during transfer was accomplished via hand-held self-inflating bags.

Neonatal intensive care management

Since January 2000 all neonates with CDH treated at UHC received protective ventilation aimed to minimize volutrauma with the use of minimal pressure and volume settings and inspired oxygen concentration set to achieve acceptable preductal oxygenation saturations (≥85 %) while permitting hypercapnia (≤65 mmHg). Two modes of ventilation were used: assist-control plus volume limit setting mode (n = 19) and pressure support ventilation with volume guarantee mode (n = 25). Details of ventilatory strategies used during the time frame of this study were recently reported [16]. With this protective ventilation strategy, sedation and muscle paralysis were infrequently used and only in newborns with patient-ventilator asynchrony. High-frequency oscillation ventilation was a rescue treatment for neonates who continued to have hypoxia and hypercarbia (PcCO2 > 65 mmHg) despite optimization of protective ventilation. Inhaled nitric oxide (iNO) was used for neonates with echocardiographic findings of pulmonary hypertension. Surgical repair via laparotomy was done following the initial optimization of respiratory parameters, systemic blood pressure, and pulmonary hypertension. Neonatal extracorporeal membrane oxygenation (ECMO) was not available in Croatia during the study timeframe.

Study design and data collection

This study was a retrospective chart review. We reviewed demographic and birth information (sex, gestational age, birth weight, and Apgar scores); comorbid conditions (pulmonary hypertension assessed with Doppler echocardiography and defined as pulmonary artery pressure to systemic arterial pressure ratio >2/3); CDH information (prenatal diagnosis, type of CDH, presence of peritoneal sac or diaphragmatic agenesis); preductal capillary blood gas data obtained at admission and best and worst preductal capillary blood gas results within the first 24 h after admission but before surgical intervention; and, within 12 h of admission, the lowest body temperature and mean systemic blood pressure. Instead of measuring arterial blood gases, the UHC neonatology intensive care unit (NICU) measures blood gases using capillary blood, and oxygenation is monitored by pulse oximetry. It has been shown that capillary blood gases accurately reflect arterial pH and PaCO2 in pediatric intensive care unit patients [17]. Capillary blood gases less accurately reflect arterial PO2 in normoxia and hyperoxia, but the accuracy improves under hypoxic conditions [18]. Other abstracted variables related to CDH management included the use of iNO, surfactant, and vasoactive support, and the type of surgical repair (primary or non-primary with patch). The probability of survival (POS) was calculated from the equation proposed by the CDHSG [8] and neonates were categorized into three groups: low POS (0-33 %), moderate POS (34-66 %), and high POS (67-100 %).

Statistical analysis

The main outcome measure was survival to hospital discharge and the explanatory variables of interest were preductal capillary blood gas values from the first 24 h. Data are presented as mean ± standard deviation for continuous variables and frequency (percentage of sample) for categorical variables. Differences between survivors and nonsurvivors were compared with the independent samples t-test for continuous variables and with the χ2 test or Fisher exact test for categorical variables. Logistic regression and receiver operating characteristic (ROC) curve analyses were also performed and summarized as the area under the curve (AUC) with sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), with cutoffs determined as the observed value that minimizes the function [(1 − Sensitivity) 2 + (1 − Specificity) 2]½. In all cases, 2-tailed P values <0.05 were considered statistically significant. Data were analyzed with SAS version 9.3 software (SAS Institute Inc, Cary, NC).

Results

Study population

Between January 1, 2000, and December 31, 2014, we treated 66 neonates with CDH. Of these, 13 were low risk CDH (asymptomatic), and 53 high-risk CDH neonates presented with early respiratory distress after delivery. We excluded 9 of the 53 patients: 1 with lethal trisomy 18 (Edward’s syndrome), 1 with missing medical records, 1 with surgery performed in a remote hospital transferred to our unit for further treatment, and 6 moribund neonates who were briefly resuscitated but died during admission. Demographic data, disease characteristics, and therapeutic interventions for the remaining 44 high-risk neonates were summarized for survivors (n = 25) and nonsurvivors (n = 19) (Table 1). As expected, neonates who died had worse 1-min and 5-min Apgar scores, lower calculated POS scores, and a higher frequency of pulmonary hypertension and diaphragmatic agenesis. To further characterize the value of the POS score for distinguishing patients who survived hospital discharge from those who did not, we performed an ROC curve analysis with data from all 44 neonates. From this analysis, the AUC for POS scores was 0.73 (95 % CI, 0.58-0.88), and a cutoff of 55 % for POS had a sensitivity of 74 %, specificity of 64 %, PPV of 61 %, and NPV of 76 % for predicting hospital mortality (Fig. 1a).
Table 1

Demographic data, disease characteristics, and therapeutic interventions for neonates with congenital diaphragmatic hernia (CDH)a

CharacteristicHospitalization outcome P value
Survival (n = 25)Death (n = 19)
Prenatal diagnosis of CDH9 (36)9 (47)0.54
Male sex16 (64)11 (58)0.76
Gestational age, wk38.6 ± 2.237.8 ± 3.40.30
Birth weight, kg3.15 ± 0.672.92 ± 0.730.29
 Small for gestational age2 (8)1 (5)
Apgar score 1 min6.1 ± 2.64.3 ± 2.50.02
Apgar score 5 min6.4 ± 2.54.7 ± 1.90.02
CDH type
 Left23 (92)13 (68)0.07
 Right2 (8)5 (26)
 Bilateral0 (0)1 (5)
Liver-up8 (32)16 (84)<0.001
Probability of survival score, %64 ± 2745 ± 190.01
 High (67 %-100 %)13 (52)3 (16)
 Moderate (34 %-66 %)9 (36)11 (58)
 Low (0 %-33 %)3 (12)5 (26)
Pulmonary hypertensionb 13 (52)18 (95)0.003
Diaphragmatic agenesis0 (0)4 (21)0.03
Peritoneal sac present4 (16)0 (0)0.12
Inhaled nitric oxide11 (44)19 (100)<0.001
Surfactant administration4 (16)12 (63)0.002
Vasoactive support24 (96)19 (100)>0.99
Surgical repairc
 Primary closure23 (92)3 (43)0.01
 Patch repair2 (8)3 (43)
 Muscle flap repair0 (0)1 (14)

aContinuous data are presented as mean ± SD; categorical data as number of patients (percentage of sample); bDiagnosed with Doppler echocardiography; cTwelve patients died before surgery; 7 died after surgical repair

Fig. 1

Receiver Operating Characteristic Curve and Area Under the Curve (AUC) for: a Probability of survival score (POS) for all neonates. b Partial pressure of carbon dioxide in the preductal capillary blood (PcCO2) for all neonates on admission. c Highest ratio of partial pressure of oxygen in the preductal capillary blood to fraction of inspired oxygen (PcO2/FIO2) during the first 24 h after admission for neonates who survived more than 24 h after admission

Demographic data, disease characteristics, and therapeutic interventions for neonates with congenital diaphragmatic hernia (CDH)a aContinuous data are presented as mean ± SD; categorical data as number of patients (percentage of sample); bDiagnosed with Doppler echocardiography; cTwelve patients died before surgery; 7 died after surgical repair Receiver Operating Characteristic Curve and Area Under the Curve (AUC) for: a Probability of survival score (POS) for all neonates. b Partial pressure of carbon dioxide in the preductal capillary blood (PcCO2) for all neonates on admission. c Highest ratio of partial pressure of oxygen in the preductal capillary blood to fraction of inspired oxygen (PcO2/FIO2) during the first 24 h after admission for neonates who survived more than 24 h after admission

Blood gas analyses

Capillary blood gas data at admission and during the first 24 h following admission were summarized separately for survivors and nonsurvivors and separately for patients who survived at least 24 h and who died within 24 h (Table 2). Predictors of mortality at admission were lower capillary PcO2/FIO2 ratio, higher PcCO2, and lower pH. At 24 h predictors of mortality were lower PcO2/FIO2 ratio and higher PcCO2 (Table 2). Sampling site for all blood gas measurements was preductal (right-hand).
Table 2

Preductal capillary blood gas data at admission and during the first 24 h after admissiona

CharacteristicHospitalization outcome P valueb
Survival (n = 25)d Death (n = 19)
NMean ± SDNMean ± SD
Admission blood gas
 PcO2, mm Hg2554.9 ± 20.91945.5 ± 18.60.13
 PcO2/FIO2, mm Hg2572.2 ± 37.31950.3 ± 30.20.04
 PcCO2, mm Hg2570.1 ± 25.21991.3 ± 31.10.02
 pH247.15 ± 0.19177.01 ± 0.190.03
 Base deficit, mEq/L24−5.20 ± 6.9217−9.92 ± 8.570.058
Postadmission blood gas (≤24 h)c
 Highest PcO2, mm Hg
  Alive at 24 h2487.0 ± 36.71270.6 ± 21.10.16
  Death at ≤24 h------765.7 ± 19.6---
 Highest PcO2/FIO2, mm Hg
  Alive at 24 h24140.5 ± 65.21275.2 ± 23.80.002
  Death at ≤24 h------767.8 ± 19.7---
 Highest PcCO2, mm Hg
  Alive at 24 h2473.3 ± 25.012100.1 ± 34.60.01
  Death at ≤24 h------6117.7 ± 26.7---
 Lowest pH
  Alive at 24 h237.14 ± 0.19107.01 ± 0.200.09
  Death at ≤24 h------66.88 ± 0.09---
 Highest base deficit, mEq/L0.131
  Alive at 24 h23−6.35 ± 6.7110−10.42 ± 7.43---
  Death at ≤ 24 h------5−17.92 ± 3.66---

aAll blood gas data presented in this table were obtained before surgical intervention. b P values are from the 2-sample t-test comparing the given blood gas measurement between patients who survived hospitalization and patients who did not. cComparison of the gas exchange over the first 24 h are restricted to patients who survived at least 24 h. dIn the survivor group, one neonate had admission data, but missing information for postadmission blood gases. For this reason the sample sizes for the survival group are one less in the postadmission analysis than the admission analysis. Abbreviations: FIO2, fraction of inspired oxygen; PcCO2, partial pressure of carbon dioxide in the capillary blood; PcO2, partial pressure of oxygen in the capillary blood

Preductal capillary blood gas data at admission and during the first 24 h after admissiona aAll blood gas data presented in this table were obtained before surgical intervention. b P values are from the 2-sample t-test comparing the given blood gas measurement between patients who survived hospitalization and patients who did not. cComparison of the gas exchange over the first 24 h are restricted to patients who survived at least 24 h. dIn the survivor group, one neonate had admission data, but missing information for postadmission blood gases. For this reason the sample sizes for the survival group are one less in the postadmission analysis than the admission analysis. Abbreviations: FIO2, fraction of inspired oxygen; PcCO2, partial pressure of carbon dioxide in the capillary blood; PcO2, partial pressure of oxygen in the capillary blood

Association of neonatal survival with preductal PcCO2

High PcCO2 on admission was a strong predictor of mortality. Among survivors, mean PcCO2 on admission was significantly lower than that for nonsurvivors (70.1 ± 25.2 vs. 91.3 ± 31.1 mmHg, P = 0.02). For survivors, PcCO2 remained similar after admission while among nonsurvivors, the PcCO2 increased (Table 2). Fig. 1b shows the ROC curve for admission PcCO2 to predict mortality calculated with the data for all neonates. From this analysis, the AUC was 0.74 (95 % CI, 0.58-0.89), and a cutoff of 81.8 mmHg for admission PcCO2 had a sensitivity of 63 %, specificity of 80 %, PPV of 71 %, and NPV of 74 % for predicting hospital mortality.

Association of neonatal survival with preductal pH

Low pH on admission was also a predictor of mortality. Among survivors, mean pH on admission was higher than among nonsurvivors (P = 0.03; Table 2). From ROC analysis, the AUC was 0.70 (95 % CI, 0.53-0.88), and a cutoff of 7.06 for admission pH had a sensitivity of 65 %, specificity of 75 %, PPV of 65 %, and NPV of 75 % for predicting hospital mortality.

Association of neonatal survival with admission preductal PcO2/FIO2

Low PcO/FIO on admission was also a predictor of mortality. Among survivors, mean admission PcO/FIO was 72.2 ± 37.3 mmHg, and among nonsurvivors 50.3 ± 30.2 mmHg (P = 0.04; Table 2). From ROC analysis, the AUC was 0.69 (95 % CI, 0.53-0.85), and a cutoff of 59 % for admission PcO/FIO had a sensitivity of 79 %, specificity of 56 %, PPV of 56 %, and NPV of 74 % for predicting hospital mortality.

Association of neonatal survival from postadmission preductal PcO2/FIO2

Among patients who survived at least 24 h, the highest recorded PcO2/FIO2 was higher among survivors than among nonsurvivors (140.5 ± 65.2 mmHg vs. 75.2 ± 23.8 mmHg, respectively, P = 0.002). Among hospital survivors, PcO2/FIO2 increased during the first 24 h of treatment (from 72.2 ± 37.3 mmHg to 140.5 ± 65.2 mmHg, for admission vs. highest value in first 24 h, P < 0.001). Of those who died after 24 h, PcO2/FIO2 did not change significantly over the first 24 h (50.3 ± 30.2 vs. 75.2 ± 23.8 mmHg, P = 0.104). The predictive value of highest PcO2/FIO2 ratio over 24 h determined from ROC analysis found the AUC was 0.87 (95 % CI, 0.75-0.98), and a cutoff of 100 mmHg for PcO2/FIO2 had a sensitivity of 92 %, specificity of 75 %, PPV of 65 %, and NPV of 95 % for predicting hospital mortality (Fig. 1c). For the 7 neonates who did not survive 24 h and were therefore excluded from this analysis, the highest recorded PcO2/FIO2 ranged from 36 mmHg to 88 mmHg.

Association of neonatal survival from other vital signs

We also examined the predictive role of other vital signs. The lowest body temperature and lowest mean blood pressure over the first 12 h following admission were significantly lower in patients who died than in those who did not (35.7 °C ± 0.5 °C vs. 36.3 °C ± 0.7 °C, P = 0.005; 31.5 ± 10.1 mmHg vs. 39.3 ± 6.1 mmHg, P = 0.003).

Discussion

In our series of 44 CDH high-risk outborn neonates, a significant prognosticating factor for mortality was the inability to improve pulmonary gas exchange. Specifically, outborn neonates without a substantial increase in PcO2/FIO2 ratio while on mechanical ventilation during the first 24 h following admission had increased mortality. Furthermore, high admission and postadmission PcCO2 predicted mortality. This is in agreement with the recent finding by Abbas et al. [19] who reported that inborn CDH nonsurvivors were characterized by inability to maintain sufficient pulmonary gas exchange despite resuscitation. Up to 25 % mortality among children with CDH is related directly to the degree of lung hypoplasia. The extent of lung hypoplasia can be approximated from the level of oxygenation and ventilation, and both have a linear correlation with hypoplasia [11]. In predicting survival of patients with CDH, several authors have used blood gas analyses [6, 15, 19, 20]. Salas et al. [21] demonstrated that an admission PaCO2 greater than 88 mmHg predicts mortality, and an admission PaCO2 less than 66 mmHg was associated with improved survival. CDH nonsurvivors were unable to maintain adequate gas exchange over the first 24 h of resuscitation [19]. These findings are consistent with our results. Similarly, Khmour et al. [15] demonstrated that during the era of protective ventilation, both admission PaCO2 and preductal oxyhemoglobin saturation obtained within 1 h of admission may predict survival among neonates with CDH. Specifically, admission preductal oxyhemoglobin saturation less than 85 % had a PPV for mortality of 0.82 [15]. Yoder et al. [20] reported a PPV of 57 % to predict mortality when the minimum PaCO2 was 70 mmHg or more during the first 24 h and a PPV of 77 % when the best preductal oxyhemoglobin saturation was less than 85 %. A PPV of 88 % for mortality was reported when both parameters were met. For our neonates who survived the first 24 h, the highest PcO2/FIO2 ratio was a very good predictor of hospital outcome, with an AUC of 0.87, and a cutoff of 100 mmHg for PcO2/FIO2 had a PPV of 65 % and an NPV of 95 % for predicting hospital mortality. Our score, obtained from capillary blood gas, is similar to that proposed by the WHSRPF that uses arterial blood gases during the initial 24 h of life. Their prediction score (highest PaO2 minus highest PaCO2) had AUC of 0.87 with a PPV of 82 % and an NPV of 88 % [7]. All our neonates were transferred from either local or remote hospitals. The most typical ventilatory support during travel was a self-inflating bag and, less frequently, transport ventilators. Because of this, a proportion of neonates in this cohort probably received suboptimal ventilation. This was the basis for our hypothesis that the institution of proper mechanical ventilation upon admission may separate “responders” (those with recruitable lung units) from “non-responders” (those with more severe pulmonary hypoplasia). Based on that premise, one would expect to find the admission blood gas values to be less predictive of outcome than the blood gases following treatment. Indeed, we found that the highest PcO2/FIO2 achieved over 24 h of treatment represents a better approach in predicting outcome. Furthermore, inefficient ventilation, as inferred from inability to reduce PcCO2, was a good prognosticating indicator for mortality. The limitation of this study is related to its retrospective design, and evaluation of a relatively small number of patients admitted to a single large academic center. Proper interpretation of blood gas analyses may be complex when blood gases are not obtained in a standardized fashion (arterial vs. capillary). Instead of using arterial blood, UHC used capillary blood to obtain measurements of PO2, PCO2, and pH. A recent meta-analysis showed that blood sampled from the fingertip accurately reflects PaCO2 and arterial pH over a wide range of values [18]. Given the existence of high correlation for PCO2 and pH between capillary and arterial samples, our findings of association between capillary PcCO2 and pH and survival likely indicate that obtaining arterial blood gases would have similar association. In contrast, PcO2 less accurately approximates PaO2, but the accuracy improves in hypoxic conditions [18], and the admission PcO2 in our neonates was lower than normal. While we do not know how accurately PcO2 in our study approximated PaO2, it is likely that the increase in PcO2/FIO2 represents an improvement in oxygenation. We have shown that an increase in this ratio per se prognosticates outcome comparably to WHSRPF prediction formula [7]. However, the cutpoints and sensitivity/specificity estimates obtained from our ROC analysis for PO2apply only to blood gases from capillary samples. Furthermore, because contemporary ventilatory strategies for children with CDH allow for mild hypercapnia, values of PaCO2 less than 60–65 mmHg have little meaning for outcome prognostication (e.g., neonates with PaCO2 of 45 mmHg or 65 mmHg may reflect the fact that different providers may allow for different levels of hypercapnia); however, high PaCO2 values (>80 mmHg) are universally undesirable and are undoubtedly markers of severe lung hypoplasia and increased mortality. Furthermore, the long study period used in our investigation may encompass therapeutic advances which could have changed outcomes in neonates over time. We did not detect a significant temporal change in survival and we do not believe any substantial improvements in practice occurred in our institution during the study period (ECMO was unavailable throughout the entire study period, and protective ventilatory strategies, the use of iNO, and HFOV were available). Finally, our results may lack generalizability to settings with more sophisticated transport management capabilities and institutions with ECMO availability.

Conclusion

Using a unique population of high-risk CDH outborns with early respiratory distress, we found that the inability to improve gas exchange within 24 h of the initiation of treatment is an ominous sign. Of all the blood gas parameters considered, the magnitude of increase in oxygenation in response to treatments was the best predictor of survival. Therefore, we suggest that improvement of oxygenation during the first 24 h, along with other relevant clinical signs, may help when making decisions regarding survivability or the use of ECMO when available.

Abbreviations

AUC, area under the curve; CDH, congenital diaphragmatic hernia; CDHSG, Congenital Diaphragmatic Hernia Study Group; ECMO, Extracorporeal membrane oxygenation; FIO2, fraction of inspired oxygen; NICU, neonatal intensive care unit; NPV, negative predictive value; PcCO2, partial pressure of carbon dioxide in the capillary blood; PcO2, partial pressure of oxygen in the capillary preductal blood; POS, probability of survival; PPV, positive predictive value; ROC, receiver operating characteristic; UHC, University Hospital Centre; WHSRPF, Wilford Hall/Santa Rosa clinical prediction formula
  21 in total

1.  SNAP-II and SNAPPE-II: Simplified newborn illness severity and mortality risk scores.

Authors:  D K Richardson; J D Corcoran; G J Escobar; S K Lee
Journal:  J Pediatr       Date:  2001-01       Impact factor: 4.406

Review 2.  Congenital diaphragmatic hernia.

Authors:  Desmond Bohn
Journal:  Am J Respir Crit Care Med       Date:  2002-10-01       Impact factor: 21.405

Review 3.  Arterial versus capillary blood gases: a meta-analysis.

Authors:  Gerald S Zavorsky; Jiguo Cao; Nancy E Mayo; Rina Gabbay; Juan M Murias
Journal:  Respir Physiol Neurobiol       Date:  2006-08-17       Impact factor: 1.931

4.  SNAP-II predicts mortality among infants with congenital diaphragmatic hernia.

Authors:  Erik D Skarsgard; Ying C MacNab; Zhenguo Qiu; Ruth Little; Shoo K Lee
Journal:  J Perinatol       Date:  2005-05       Impact factor: 2.521

5.  Estimating disease severity of congenital diaphragmatic hernia in the first 5 minutes of life.

Authors: 
Journal:  J Pediatr Surg       Date:  2001-01       Impact factor: 2.545

6.  Role of admission gas exchange measurement in predicting congenital diaphragmatic hernia survival in the era of gentle ventilation.

Authors:  Ayman Y Khmour; Girija G Konduri; Thomas T Sato; Michael R Uhing; Mir A Basir
Journal:  J Pediatr Surg       Date:  2014-04-21       Impact factor: 2.545

7.  Comparison of simultaneously obtained arterial and capillary blood gases in pediatric intensive care unit patients.

Authors:  A M Harrison; J M Lynch; J M Dean; M K Witte
Journal:  Crit Care Med       Date:  1997-11       Impact factor: 7.598

8.  Use of the postductal PaO2 as a predictor of pulmonary vascular hypoplasia in infants with congenital diaphragmatic hernia.

Authors:  P P O'Rourke; J P Vacanti; R K Crone; K Fellows; C Lillehei; T J Hougen
Journal:  J Pediatr Surg       Date:  1988-10       Impact factor: 2.545

9.  The value of Pa(CO2) in relation to outcome in congenital diaphragmatic hernia.

Authors:  Ariel A Salas; Ramachandra Bhat; Katarzyna Dabrowska; Alicia Leadford; Scott Anderson; Carroll M Harmon; Namasivayam Ambalavanan; George T El-Ferzli
Journal:  Am J Perinatol       Date:  2014-02-10       Impact factor: 1.862

10.  Survival of outborns with congenital diaphragmatic hernia: the role of protective ventilation, early presentation and transport distance: a retrospective cohort study.

Authors:  Katarina Bojanić; Ena Pritišanac; Tomislav Luetić; Jurica Vuković; Juraj Sprung; Toby N Weingarten; William A Carey; Darrell R Schroeder; Ruža Grizelj
Journal:  BMC Pediatr       Date:  2015-10-12       Impact factor: 2.125

View more
  5 in total

Review 1.  Congenital diaphragmatic hernia.

Authors:  Augusto Zani; Wendy K Chung; Jan Deprest; Matthew T Harting; Tim Jancelewicz; Shaun M Kunisaki; Neil Patel; Lina Antounians; Pramod S Puligandla; Richard Keijzer
Journal:  Nat Rev Dis Primers       Date:  2022-06-01       Impact factor: 52.329

2.  Mediastinal Shift Angle in Fetal MRI Is Associated With Prognosis, Severity, and Cardiac Underdevelopment in Left Congenital Diaphragmatic Hernia.

Authors:  Xueyao Wang; Qi Shi; Weihua Pan; Weipeng Wang; Wenjie Wu; Ming Liu; Wei Xie; Xinyun Wang; Jun Wang
Journal:  Front Pediatr       Date:  2022-06-21       Impact factor: 3.569

3.  Proportional assist ventilation (PAV) versus neurally adjusted ventilator assist (NAVA): effect on oxygenation in infants with evolving or established bronchopulmonary dysplasia.

Authors:  Katie A Hunt; Theodore Dassios; Anne Greenough
Journal:  Eur J Pediatr       Date:  2020-01-25       Impact factor: 3.183

4.  Health-related quality of life in children and adolescents with congenital diaphragmatic hernia: a cross-sectional study.

Authors:  Katarina Bojanić; Ruža Grizelj; Jurica Vuković; Lana Omerza; Marina Grubić; Tomislav Ćaleta; Toby N Weingarten; Darrell R Schroeder; Juraj Sprung
Journal:  Health Qual Life Outcomes       Date:  2018-03-14       Impact factor: 3.186

5.  Development and Validation of Extracorporeal Membrane Oxygenation Mortality-Risk Models for Congenital Diaphragmatic Hernia.

Authors:  Yigit S Guner; Danh V Nguyen; Lishi Zhang; Yanjun Chen; Matthew T Harting; Peter Rycus; Ryan Barbaro; Matteo Di Nardo; Thomas V Brogan; John P Cleary; Peter T Yu
Journal:  ASAIO J       Date:  2018 Nov/Dec       Impact factor: 2.872

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.