Survival rates in extremely low birthweight infants depend on the denominator: avoiding potential for bias by specifying denominators




Objective


The objective of the study was to assess whether recent data reporting survival of preterm infants introduce a bias from the use of varying denominators.


Study Design


We performed a systematic review of hospital survival of infants less than 1000 g or less than 28 weeks. Included publications specified the denominator used to calculate survival rates.


Results


Of 111 eligible publications only 51 (46%) specified the denominators used to calculate survival rates: 6 used all births, 25 used live births, and 20 used neonatal intensive care unit admissions. Overall rates of survival to hospital discharge ranged widely: from 26.5% to 87.8%. Mean survival varied significantly by denominator: 45.0% (±11.6) using a denominator of all births, 60.7% (±13.2) using live births, or 71.6% (±12.1) using used neonatal intensive care unit admissions ( P ≤ .009 or less for each of 3 comparisons).


Conclusion


Variations in reported rates of survival to discharge for extremely low-birthweight (<1000 g) and extremely low-gestational-age (<28 weeks) infants reflect in part a denominator bias that dramatically affects reported data.


Advances in perinatal care, such as the use of antenatal steroids, surfactant therapy, and delivery room temperature control, have improved the rates of survival to discharge for extremely low-birthweight (ELBW) and extremely low-gestational-age (ELGA) infants. However, available data on survival rates of ELBW and ELGA infants display a wide variation.




For Editors’ Commentary, see Table of Contents



Part of this variation might be due to center differences with respect to antenatal care and choices in active resuscitation or variations in baseline risk because of population differences. Moreover, additional variation may arise from differences in definitions. For example, different definitions of still and live births in many developed countries affect overall national mortality rates.


Further variation stems from how centers calculate and report survival rates because several different denominators can be used in the calculation. These differences lead to bias in reported survival rates of extremely premature infants, often referred to as a selection bias or a denominator bias. A systematic bias in reporting of survival rates could dramatically affect understanding of families at the time of counseling about potential survival of their premature infant and prevents accurate comparisons between centers. In a systematic review, we evaluated whether the degree of variation in survival rates in publications over the period 2000-2010 might reflect a denominator bias.


Materials and Methods


Primary outcome


Our primary outcome was the survival rates of ELBW and ELGA infants calculated with different denominators. We defined survival as the proportion of infants surviving until hospital discharge. The denominators used in these studies were: all births including stillbirths, live births, or neonatal intensive care unit (NICU) admissions.


Search for studies


The MEDLINE, EMBASE, PubMed, and Cochrane Library databases were searched using a combination of the following subject headings (MeSH) and free text (text word): infant, premature; or infant, very low birthweight; or infant, extremely low birthweight and neurodevelopmental impairment; or neurodevelopmental outcome; or developmental outcome; or survival; or infant mortality. No language restriction was applied. All potentially relevant titles and abstracts were retrieved and assessed for eligibility by 2 independent observers, whose disagreements were resolved by consensus. The reference lists of relevant articles were reviewed, and relevant citations were retrieved if they had not been obtained in the primary search. Reference lists of reviews, editorials, commentaries, and letters were also reviewed and retrieved if relevant.


Eligibility criteria


Publications were selected for inclusion if they: (1) were published between January 2000 and June 2010; (2) included susceptible infants born after January 1990, either with birthweight less than 1000 g or gestational age less than 28 weeks; (3) reported survival to hospital discharge; (4) specified the population denominator used to calculate survival rates: all births, live births, or NICU admissions.


Data extraction


For each publication, 2 independent searchers extracted the reported numerator (number of infants surviving until hospital discharge) and the reported denominator. This denominator was the total number of infants born (including stillbirths), the total number of infants born alive, or the total number of infants admitted to the NICU. Publications were grouped by the denominator used to report survival. Publications that reported survival outcomes by more than 1 denominator were included only once by randomly selecting 1 of the denominators to avoid dependence between the groups.


The period during which the infants were born was also extracted. Finally, we planned to perform adjusted analyses for which we collected potentially confounding baseline population characteristics such as maternal age, race, education, marital status, infant sex, country of birth, outborn/inborn status, Score for Neonatal Acute Physiology (SNAP) or Clinical Risk Index for Babies (CRIB) severity of illness scores, and the use of antenatal steroids. Disagreements were resolved by consensus.


Statistical analysis


One-way analysis of variation was used to test the hypothesis that estimates of survival differ by the denominator used to calculate survival rates. Analyses were completed using STATA/IC 10.0 software (Stata Corp, College Station, TX). P < .05 was considered statistically significant.


We performed subgroup analysis of differences in survival by overall birthweight less than 1000 g only and by gestational age less than 28 weeks only. A Bonferroni correction for multiple comparisons was used in these subgroup analyses, making a P < .008 statistically significant.




Results


Eligible studies


Two searchers achieved very good agreement on the inclusion and exclusions of studies (κ = 0.8) and on the extraction of data (κ = 0.85). All disagreements were resolved.


We identified 369 potentially relevant articles. Of these, 111 publications reported single-center or multicenter outcomes of infants less than 1000 g or less than 28 weeks born after 1990. Only 51 publications could be included because they reported both survival rates and the denominator used to calculate survival.


These studies included a total of 75,322 infants. Six publications (11.8% of all eligible studies) reported outcomes as a percentage of all births ( Table 1 ). They represented 10,130 infants (13.4%). Twenty-five publications (49.0% of eligible studies) reported outcomes as a percentage of all live births ( Table 2 ). They represented 49,289 infants (65.4%). Finally, 20 studies (39.2% of eligible studies) reported survival rates of infants admitted to the NICU ( Table 3 ). They represented the remaining 15,903 infants for whom outcomes were available (21.1%).



TABLE 1

Characteristics of studies reporting outcome of all births
























































Author Year of birth Study population Cohort Survived, number/total (%)
Bolisetty et al 2000–2001 Multicenter (Australia) <28 wks 393/883 (44.5)
Costeloe 2006 Multicenter (United Kingdom) <27 wks 819/2906 (28.2)
De Groote et al 1999–2001 Multicenter (Belgium) <27 wks 95/251 (37.8)
Tommiska et al 1999–2000 Multicenter (Finland) <1000 g 225/511 (44)
Vanhaesebrouck et al 1999–2000 Multicenter (Belgium) 22–26 +6 wks 175/525 (33.3)
Vohr et al 1993–1994 Multicenter (United States) 22–26 +6 wks 929/1689 (55)
1995–1996 401–1000 g 873/1559 (56)
1997–1998 1102/1806 (61)

Guillen. Bias in survival outcomes. Am J Obstet Gynecol 2011.


TABLE 2

Characteristics of studies reporting outcome of live births















































































































































































Author Year of birth Study population Cohort Survived, number/total (%)
Agustines et al 1990–1995 Single center (United States) 500–750 g 63/167 (37.7)
Chan et al 2001–2002 Multicenter (Hong Kong) <1000 g 64/81 (79)
Fanaroff et al 1993–1994 Multicenter (United States) 501–1000 g 1371/2046 (67)
1999–2000 1901/2640 (72)
Fily et al 1997 Multicenter (France) <28 wks 79/138 (57.2)
Gargus et al 1998–2001 Multicenter (United States) 401–1000 g 4072/6090 (66.9)
Hansen 1994–1995 Multicenter (Denmark) <1000 g 269/477 (56.4)
Hintz et al 1997–2000 Multicenter (United States) <1000 g and <28 wks 3346/5396 (62)
Hintz et al 1993–1996 Multicenter (United States) 501–1000 g and <25 wks 468/1170 (40)
1996–1999 542/1260 (43)
Jacobs et al 1990–1994 Multicenter (United States and Canada) 23–26 +6 wks 305/470 (64.9)
Kamper et al 1994–1995 Multicenter (Denmark) <1000 g and <28 wks 195/386 (50.5)
Kusuda et al 2003 Multicenter (Japan) ≤1000 g 754/979 (77)
Kutz et al 2000–2004 Single center (Germany) <26 wks 47/83 (56.6)
LeFlore et al 1995–1997 Single center (United States) ≤1001 g 174/307 (56.7)
Mercier et al 1998–2003 Multicenter (United States) 401–1000 g 6196/8636 (71.7)
Rijken et al 1996–1997 Multicenter (Netherlands) <27 wks 30/46 (65.2)
Sommer et al 1996–2001 Single center (Austria) <27 wks 53/110 (48.2)
Stoelhorst et al 1996–1997 Multicenter (Netherlands) <28 wks 53/72 (73.6)
Tyson et al 1998–2003 Multicenter (United States) <1000 g and <26 wks 2267/4446 (51)
Vermeylen et al 1992–1996 Single center (France) <1000 g and/or <28 wks 43/70 (61.4)
1997–2001 36/44 (81.8)
Vohr et al 1993–1994 Multicenter (United States) 401–1000 g 1524/2498 (61)
Walsh et al 1995–1998 Multicenter (United States) 501–1000 g 3755/5364 (70)
Wilson-Costello et al 1990–1998 Single center (United States) 500–999 g 457/682 (67)
Wilson-Costello et al 2000–2002 Single center (United States) 500–999 g 165/233 (70.8)
Wood et al 1995 Multicenter (United Kingdom and Ireland) <26 wks 314/1185 (26.5)
Zeitlin 2003 Multicenter (Europe) 24–27 +6 wk 2684/4213 (63.7)

Guillen. Bias in survival outcomes. Am J Obstet Gynecol 2011.


TABLE 3

Characteristics of studies reporting outcome of NICU admissions

















































































































































Author Year of birth Study population Cohort Survived, number/total (%)
Atasay et al 1997–2000 Single center (Turkey) 500–1000 g 16/31 (51.6)
Autret et al 1999–2001 Single center (France) <28 wks 99/166 (59.6)
Chedid et al 2004–2006 Single center (United Arab Emirates) 500–1001 g 42/63 (66.7)
Cloonan et al 1994–2000 Single center (United States) 500–1000 g 209/241 (86.7)
Hagen et al 2003–2004 Multicenter (United States) <1000 g 476/626 (76)
Hanke et al 1994–1995 Single center (Germany) <1000 g 23/30 (76.7)
Hoekstra et al 1991–1995 Multicenter (United States) 23–26 +6 wks 254/338 (75.1)
1996–2000 320/382 (83.8)
Horiuchi et al 2000 Multicenter (Japan) ≤1000 g 2196/2798 (78.5)
Itabashi et al 2005 Multicenter (Japan) <1000 g 2544/3065 (83)
Jimenez Martin et al 1998–2002 Single center (Spain) ≤1000 g 75/116 (64.7)
Lee et al 1996–1997 Multicenter (Canada) <1000 g 1212/1618 (74.9)
Neubauer et al 1993–1998 Single center (Germany) <1000 g 173/197 (87.8)
Riley et al 1991–1995 Single center (United Kingdom) <26 wks 41/91 (45.1)
1996–2000 58/82 (70.7)
Salokorpi et al 1991–1994 Single center (Finland) <1000 g 156/228 (68.4)
Stahlmann et al 1997–1999 Multicenter (Germany) <27 wks 95/154 (61.7)
Ting et al 1993–1996 Single center (Hong Kong) <1000 g 62/110 (56.4)
1997–2002 105/124 (84.7)
Valleur et al 1992–1997 Single center (France) <28 wks 122/204 (59.8)
Vohr et al 1999–2001 Multicenter (United States) <1000 g 1182/1433 (82.5)
Vohr et al 1995–1998 Multicenter (United States) 401–1000 g 2380/3606 (66)
Voss et al 1993–1998 Single center (Germany) <1000 g 172/200 (86)

Only gold members can continue reading. Log In or Register to continue

Stay updated, free articles. Join our Telegram channel

May 26, 2017 | Posted by in GYNECOLOGY | Comments Off on Survival rates in extremely low birthweight infants depend on the denominator: avoiding potential for bias by specifying denominators

Full access? Get Clinical Tree

Get Clinical Tree app for offline access