Literature DB >> 30899868

Serum Creatinine in Pregnancy: A Systematic Review.

Kate Wiles1, Kate Bramham2, Paul T Seed1, Catherine Nelson-Piercy3, Liz Lightstone4, Lucy C Chappell1.   

Abstract

INTRODUCTION: Standard assessment of renal function in pregnancy is by measurement of serum creatinine concentration yet normal gestational ranges have not been established. The aim of this systematic review was to define the difference in serum creatinine in a healthy pregnancy compared with concentrations in nonpregnant women to facilitate identification of abnormal kidney function in pregnancy.
METHODS: Medline, PubMed, Embase, Web of Science, theses, key obstetric texts, and conference proceedings were searched to July 2017. Eligible studies included quantification of serum creatinine concentration in a pregnant cohort, with either a reported local laboratory reference range or matched quantification in a nonpregnant cohort. The outcomes of interest were the mean and upper reference limits for creatinine in pregnancy, measured as a ratio of pregnant:nonpregnant values. Study heterogeneity was examined by meta-regression analysis.
RESULTS: Forty-nine studies were identified. Data synthesis included 4421 serum creatinine values in pregnancy, weighted according to cohort size. Mean values for serum creatinine in pregnancy were 84%, 77%, and 80% of nonpregnant mean values during the first, second, and third trimesters, respectively. The 97.5th centile (upper limit of the 95% reference range) for serum creatinine in pregnancy was 85%, 80%, and 86% of the nonpregnant upper limit in sequential trimesters.
CONCLUSION: Based on a nonpregnant reference interval of 45-90 μmol/l (0.51-1.02 mg/dl), a serum creatinine of >77 μmol/l (0.87 mg/dl) should be considered outside the normal range for pregnancy. Future work can use this value to explore correlation of adverse pregnancy outcomes with serum creatinine concentration. PROSPERO registration: CRD42017068446.

Entities:  

Keywords:  creatinine; kidney function; pregnancy; renal function

Year:  2018        PMID: 30899868      PMCID: PMC6409397          DOI: 10.1016/j.ekir.2018.10.015

Source DB:  PubMed          Journal:  Kidney Int Rep        ISSN: 2468-0249


Outside of pregnancy, glomerular filtration rates (GFRs) are routinely estimated from serum creatinine concentrations using standardized equations, facilitating the diagnosis of chronic kidney disease and grading of disease severity. Such equations use demographic and clinical variables to correct for physiological factors that affect serum creatinine. However, in pregnancy, estimated GFRs inconsistently underestimate renal function and should not be used. Estimated GFR calculations based on Modified Diet in Renal Disease calculations underestimate GFR in pregnancy by up to 41 ml/min per 1.73 m2 compared with inulin clearance. Even in women with preeclampsia and contracted maternal plasma volume, estimated GFR remains inaccurate when derived by both Modified Diet in Renal Disease and Chronic Kidney Disease Epidemiology Collaboration methods, compared with inulin and creatinine clearance.2, 3 Serum creatinine concentration, therefore, remains the only standard, single-point assessment for kidney function in pregnant populations, yet a normal range for serum creatinine in pregnancy has not been established. The upper limit (95th–97.5th centile) of creatinine concentration in healthy pregnancy varies between published cohorts. Reference range limits include values of 72 μmol/l (0.81 mg/dl), 80 μmol/l (0.90 mg/dl), 89 μmol/l (1.00 mg/dl), and 95 μmol/l (1.07 mg/dl). Such data have limited generalizability without correction for factors known to cause variance in serum creatinine, including ethnicity, gestation, and the use of different creatinine assay methods. The most widely cited study of trimester-specific creatinine concentration includes only 29 healthy pregnant women. Contemporaneous statements regarding creatinine concentration in pregnancy are largely based on expert opinion, including a “normal” range of 35 to 71 μmol/l (0.40–0.80 mg/dl),8, 9 an “average” creatinine in pregnancy of 53 μmol/l (0.60 mg/dl), and a recommendation that serum creatinine in pregnancy greater than 75 μmol/l (0.85 mg/dl) should raise suspicion of kidney injury. We report here a systematic review of studies including serum creatinine concentrations in healthy pregnancy. Serum creatinine concentrations measured in pregnant cohorts were compared with either a local laboratory reference interval or with creatinine concentrations derived from a matched nonpregnant cohort. The objective of the study was to compare serum creatinine concentration in pregnancy (“exposed” cohort) with nonpregnant (“unexposed”) via calculation of a ratio of pregnant:nonpregnant serum creatinine. The hypothesis of the study was that serum creatinine concentrations in pregnancy can be estimated as a proportion of matched nonpregnant values, thereby eliminating variation due to assay method and ethnicity, and allowing generation of generalizable normal reference ratios for serum creatinine concentration in pregnancy.

Methods

Data sources and searches were conducted by 2 authors with training in (KW, KB), and experience of (KB) systematic review methodology. Medline, PubMed, and Embase were searched for first publication to July 2017. Search terms included creatinine, glomerular filtration, GFR, MDRD, Cockcroft, renal function, kidney function, biochemistry, clinical chemistry in combination with pregnan$, trimester, gestat$. Specific search strategies are detailed in the Supplementary Material. A search of conference proceedings specific to the field of obstetrics and gynecology, as classified by Web of Science, was also completed. A hand search was undertaken of key English obstetric textbooks for creatinine reference ranges in pregnancy and the sources for these data were included where available. A search for academic theses relevant to pregnancy was performed via proquest.com and ethos.bl.uk. Citations were independently screened by 2 authors (KW, KB) based on the title and abstract. Non-English language articles were included if a translation of the abstract into English was available. A full-text review was carried out on all eligible studies, and where eligibility was uncertain from the title or abstract. If a control population was not reported, study authors were contacted to provide relevant local laboratory reference ranges for the creatinine assay used at the time their study was conducted. Only studies reporting a local laboratory serum creatinine concentration reference interval or cohort data from a nonpregnant population, and including a measure of data spread across the cohort (SD, SE, interquartile range, centile, or normal range) were eligible. Gestational age at the time of serum creatinine measurement was required for analysis of creatinine data according to trimester. Studies that included pregnant women with kidney disease (upper reference range for creatinine in control population >125 μmol/l [1.41 mg/dl]), vascular disease, diabetes, and adverse pregnancy outcome including preeclampsia, were excluded. Any study that did not adequately describe the health of population studied was excluded, as “normality” in the population could not be presumed. Studies were also excluded if serum creatinine concentrations were assessed in a nonpregnant cohort at less than 6 weeks postpartum. Methodological quality of the studies was scored using the Newcastle-Ottawa scale for observational cohort studies. This included measures of how representative both the pregnant and nonpregnant cohorts were of “average” women of childbearing age in the community, the exclusion of chronic kidney disease, and whether data were adequately controlled for pregnancy pathology including preeclampsia. Data were extracted in duplicate by 2 authors (KW, KB) working independently using a proforma based on the study inclusion criteria. Author, publication year, study type (longitudinal/cross-sectional), ethnicity, laboratory method for determination of serum creatinine, definition of control population, definition of normal pregnancy, gestation in weeks, and creatinine values including measures of data spread (SD/SE or centile) were recorded. Where cohort ethnicity was not given, black and nonblack ethnicity was assigned based on the population demographic of the country in which the study took place. Disagreements were resolved by discussion between 2 authors (KW, KB), with arbitration from a third author (LC). We defined exposure as pregnancy, and gestation at sample collection was recorded. To enable comparison, creatinine measures were converted from mg/dl to μmol/l using a conversion factor of 88.42. A normal distribution of serum creatinine concentrations was assumed based on previously published cohort data both in nonpregnant13, 14, 15, 16 and pregnant6, 17 cohorts. Mean creatinine concentrations in the pregnant and nonpregnant cohorts were extracted from the raw data, or derived from the median or reference range on the assumption of a normal distribution. Similarly, creatinine reference intervals for both pregnant and nonpregnant cohorts were obtained from the available raw data or a 97.5th centile (upper limit of the 95% reference range) was calculated as the mean value + 1.96 SDs. Data were divided by trimesters of pregnancy (<13 weeks, 13–26 weeks, >26 weeks of gestation). Where a range of gestation was included within the data, data were allocated to the trimester for which the gestational range was most representative. If studies included more than 1 measure of creatinine in the same trimester, mean values for each trimester were calculated. Mean and upper reference values for creatinine concentration in pregnancy were converted to a proportion (percentage) of the equivalent value from either the nonpregnant cohort described in each study, or the mean and upper reference limit of the given local reference range. A bootstrapping method (described later in this article) was then used to provide a combined estimate for each trimester. Statistical analysis was performed using Stata version 14.2 (StataCorp, College Station, TX). We used the calculation of the I statistic18, 19 to test for heterogeneity in the pregnant:nonpregnant ratio between studies. Where heterogeneity was found, meta-regression was used to assess whether the differences between studies was due to the use of cross-sectional data, year of publication, the specific exclusion of renal disease, Jaffe and enzymatic methods of creatinine measurement, or black ethnicity. This was done by separate linear regression of each variable, in each trimester, with impact on the pregnant:nonpregnant creatinine ratio measured as a coefficient value. Year of publication was analyzed as a continuous measure and by conversion to decade. Analytic weights were defined by Stata. The calculation of pregnant:nonpregnant creatinine ratios meant that SE measurements were not available, with no accepted method to estimate this quantity from summary data. The complexity of determining the variance and distribution of a ratio value meant we were unable to use most standard meta-analysis techniques including DerSimonian and Laird estimates of the combined effect, Forest plots, and an assessment of publication bias. Data from the included studies were therefore synthesized using a bootstrapping technique. This involved repeat sampling (10,000 repetitions) with each study acting as a single observation. Bootstrapping was informed by the assessment of heterogeneity and the results of the meta-regression. Heterogeneity between studies was high (I >99%). The inclusion of studies using a reference range as the nonpregnant comparator revealed an irreconcilable heterogeneity of data, which prevented meaningful synthesis. Heterogeneity was, however, reduced (I = 12.3) when the pregnant:nonpregnant ratio was examined using studies with a large (>100 women) nonpregnant cohort. Meta-regression revealed the importance of pregnant cohort size. The bootstrapping technique, therefore, included all studies with a nonpregnant cohort, weighted according to the product of the geometric mean of pregnant and nonpregnant cohort size. Bias-corrected confidence intervals were generated using an automatic algorithm, which estimates and corrects for bias in the sampling process. This systematic review was registered on the PROSPERO database with registration number CRD42017068446.

Results

Electronic searching identified 3297 unique citations including 11 sources identified by hand searching of textbooks. Of the 3267 available sources, we excluded 3033 sources on the basis of title and abstract review. Most excluded articles were studies of urinary creatinine concentration in pregnancy usually performed as part of a urinary protein:creatinine ratio in preeclampsia, and did not include serum creatinine measurement. Studies of amniotic, fetal, or neonatal creatinine measurement were also excluded. A further 185 sources were excluded after full-text review (Figure 1). Four studies were included after contacting the authors to provide local laboratory reference ranges at the time of their study.
Figure 1

Flow diagram of the identification process for eligible studies.

Flow diagram of the identification process for eligible studies. Forty-nine studies were included in the analysis. Study characteristics, including reference details, ethnicity, study type, sample size, trimester-specific creatinine measurements, creatinine assay method, assessment of normal pregnancy, and the Newcastle-Ottawa assessment of study quality are reported in Table 1.
Table 1

Study characteristics

AuthorYearCountry/EthnicityLongitudinal or cross-sectionalControl
Trimester 1
Trimester 2
Trimester 3
Creatinine assay methodAssessment of pregnancy normalityaNormal pregnancy outcome confirmedNewcastle-Ottowa grade
nMean CrULNnMean CrULNnMean CrULNnMean CrULN
Afolabi382011NigeriaC1558 [0.65]80 [0.90]961 [0.69]93 [1.05]357 [0.64]104 [1.18]Jaffe16
Akbari392005CanadaC1374 [0.84]86 [0.97]6852 [0.59]69 [0.78]6854 [0.61]78 [0.88]Not stated27
Al-Kuran402012JordanLLRR70 [0.79]96 [1.10]79767 [0.76]97 [1.10]79764 [0.72]100 [1.13]79772 [0.81]132 [1.4]Jaffe26
Babay412005Saudi ArabiaC4058 [0.66]71 [0.80]5456 [0.63]75 [0.85]5357 [0.64]81 [0.92]5052 [0.59]70 [0.79]Not stated3Yes8
Babu422013IndiaCLRR71 [0.80]78 [0.88]2552 [0.59]70 [0.79]Not stated34
Chapman281998WE:AC=10:1L1371 [0.80]88 [1.00]1065 [0.74]77 [0.87]853 [0.60]73 [0.83]849 [0.55]68 [0.77]Jaffe38
Collins431981CanadaC6571 [0.80]88 [1.00]35053 [0.60]71 [0.80]Jaffe16
Davison251980UKL1069 [0.78]104 [1.18]1060 [0.68]104 [1.18]Enzymatic3Yes9
Davison261981UKL972 [0.81]85 [0.96]964 [0.72]77 [0.87]957 [0.64]69 [0.78]Enzymatic3Yesb8
Djordjevic442004Serbia-MontenegroL3061 [0.69]83 [0.94]3065 [0.74]91 [1.03]Not stated17
Duvekot451995NetherlandsL1056[0.63]63 [0.71]1053 [0.60]68 [0.77]Not stated1Yes6
Fasshauser462008GermanyCLRRc76 [0.86]104 [1.18]2055 [0.62]79 [0.89]Not stated15
Fasshauser472008GermanyCLRRc76 [0.86]104 [1.18]2054 [0.61]79 [0.89]Not stated35
de Flamingh481984South AfricaC1674 [0.84]88 [1.00]1061 [0.69]75 [0.85]1055 [0.62]71 [0.80]4054 [0.61]93 [1.05]Not stated34
Girling6200047% WE, 21% AC, 10% MedCLRRc88 [1.00]120 [1.36]2068 [0.77]84 [0.95]27163 [0.71]125 [1.41]6854 [0.61]97 [1.10]Jaffe36
Guo492012ChinaLLRRc89 [1.00]115 [1.30]9642 [0.48]52 [0.59]9654 [0.61]70 [0.79]Jaffe34
Hanna502009IraqC4084 [0.95]121 [1.37]4083 [0.94]118 [1.33]4075 [0.85]94 [1.06]4054 [0.61]92 [1.04]Jaffe37
Heguilén512007ArgentinaC882 [0.93]102 [1.15]566 [0.75]88 [1.00]Not stated34
Iqbal522003PakistanC2672 [0.81]89 [1.01]1865 [0.74]95 [1.07]2270 [0.79]94 [1.07]2369 [0.78]94 [1.06]Jaffe16
Järnfelt-Samsioe53,d1985SwedenCLRR80 [0.90]110 [1.24]3768 [0.77]94 [1.06]3466 [0.75]94 [1.06]Not stated2Yesb4
Jaing542013ItalyC1953 [0.70]66 [0.75]2942 [0.48]58 [0.66]Not stated1Yes7
Kametas55,e2003PeruC13–1555–63 [0.62–0.71]68–80 [0.77–0.90]77–8047–56 [0.53–0.63]58–74 [0.66–0.83]Jaffe2Yes6
Klajnbard562010Denmark (WE)LLRR70 [0.79]90 [1.02]53258 [0.66]73 [0.83]35862 [0.70]84 [0.95]Enzymatic2Yes7
Knopp571985USA (WE)C7767 [0.76]88 [1.00]54651 [0.58]78 [0.88]Jaffe15
Koetje12011Netherlands (WE)C4469 [0.78]91 [1.03]4458 [0.66]74 [0.84]Jaffe24
Kristensen172007SwedenC5865 [0.74]82 [0.93]9453 [0.60]70 [0.79]10751 [0.58]64 [0.72]8854 [0.61]70 [0.79]Enzymatic3Yesb6
Kristensen582007SwedenC5865 [0.74]82 [0.93]21853 [0.60]68 [0.77]Enzymatic3Yes6
Lain592005USAL6350 [0.57]92 [1.04]6351 [0.58]92 [1.04]6344 [0.50]99 [1.12]6350 [0.57]92 [1.04]Enzymatic2Yes9
Larsson42008SwedenL5167 [0.76]86 [0.97]5049 [0.55]62 [0.70]5146 [0.52]62 [0.70]5247 [0.53]72 [0.81]Jaffe2Yesb6
Lockitch71993Majority WEL12173 [0.83]94 [1.06]2952 [0.59]77 [0.87]2950 [0.57]73 [0.83]2956 [0.63]87 [0.98]Enzymatic2Yes6
Lohsiriwat602008ThailandL2672 [0.82]90 [1.02]2664 [0.72]84 [0.96]Jaffe3Yes9
Mahendru61201491% WEL5468 [0.77]88 [1.00]5453 [0.60]69 [0.78]Not stated2Yes7
Majewska622010PolandL4072 [0.81]94 [1.06]4050 [0.56]63 [0.72]4046 [0.52]60 [0.68]4052 [0.59]75 [0.85]Not stated3Yes8
Makuyana632002ZimbabweCLRR78 [0.88]121 [1.37]7252 [0.59]70 [0.79]Jaffe36
Matteucci641997ItalyL1882 [0.93]102 [1.15]1864 [0.72]82 [0.93]1862 [0.70]78 [0.88]1865 [0.74]77 [0.87]Jaffe2Yes4
Milman652007DenmarkL16475 [0.85]96 [1.09]39455 [0.62]71 [0.80]52158 [0.66]81 [0.92]Jaffe2Yes7
Milne662002UK (WE)L1165 [0.74]95 [1.07]1175 [0.85]78 [0.88]Not stated3Yes9
Miri-Dashe672014NigeriaC12779 [0.89]118 [1.33]43f46 [0.52]68 [0.77]43f46 [0.52]59 [0.67]43f65 [0.74]94 [1.06]Enzymatic16
Ogueh682011UKL1388 [1.00]107 [1.21]1278 [0.88]96 [1.09]1377 [0.87]105 [1.19]1274 [0.84]106 [1.20]Jaffe1Yes8
Pahl692001USAC1567 [0.76]83 [0.94]1664 [0.72]76 [0.86]Enzymatic37
Roberts271996UK (WE)L1174 [0.84]88 [1.00]1654 [0.61]66 [0.74]1153 [0.60]63 [0.71]Jaffe3Yes9
Saxena702012USAL1271 [0.8]101 [1.14]1253 [0.60]77 [0.87]1262 [0.70]80 [0.91]Jaffe1Yes8
Schoenmakers712013GambiaC1059 [0.67]89 [1.00]1074 [0.84]68 [0.77]Enzymatic15
Siddiqui721993PakistanC3069 [0.79]88 [1.00]3549 [0.64]58 [0.76]Jaffe37
Strevens732002SwedenC1261 [0.69]83 [0.94]1448 [0.54]66 [0.75]Enzymatic36
Van Buul741995NetherlandsLLRR70 [0.79]90 [1.02]6659 [0.67]70 [0.79]6659 [0.68]70 [0.79]6659 [0.67]75 [0.85]Jaffe3Yes8
Vural751998TurkeyC1563 [0.72]95 [1.07]2061 [0.69]73 [0.83]Jaffe24
de Weerd76,g2003NetherlandsL9670 [0.79]18862 [0.70]Jaffe2Yesb6
Weissberg771991IsraelC977 [0.87]92 [1.04]3261 [0.69]71 [0.81]Jaffe15

Creatinine values are given as μmol/l [mg/dl].

AC, Afro-Caribbean; Cr, creatinine; LRR, laboratory reference range; Med, Mediterranean; ULN, upper limit of normal; WE, white European.

Assessment of pregnancy normality: 1 = limited data, 2 = exclusion of comorbidity associated with abnormal renal function, e.g., preeclampsia, diabetes, vascular disease, 3 = specific exclusion of renal disease,

but not excluded from study data.

Provided by study author/center or available from an alternative source and appropriate for date of study.

Women with emesis excluded from extracted data.

Includes 2 study cohorts at different altitude.

Total 131 pregnant women, distribution between trimesters not recorded.

Mean creatinine data only, upper limit data not derived from interquartile range.

Study characteristics Creatinine values are given as μmol/l [mg/dl]. AC, Afro-Caribbean; Cr, creatinine; LRR, laboratory reference range; Med, Mediterranean; ULN, upper limit of normal; WE, white European. Assessment of pregnancy normality: 1 = limited data, 2 = exclusion of comorbidity associated with abnormal renal function, e.g., preeclampsia, diabetes, vascular disease, 3 = specific exclusion of renal disease, but not excluded from study data. Provided by study author/center or available from an alternative source and appropriate for date of study. Women with emesis excluded from extracted data. Includes 2 study cohorts at different altitude. Total 131 pregnant women, distribution between trimesters not recorded. Mean creatinine data only, upper limit data not derived from interquartile range. Median pregnant cohort sizes were 40, 40, and 35 in the first, second, and third trimesters, respectively (interquartile range 17–67). Of the 49 included studies, only 9 had creatinine concentrations from more than 100 women within the same trimester. Detail regarding the specific exclusion of renal disease was made in 22 studies. Nonpregnant control cohorts were the “unexposed” comparator in 39 studies. The median nonpregnant cohort size was 19 women (interquartile range 13–52). Only 3 studies included more than 100 nonpregnant women in the control cohort. Serum creatinine in pregnancy was compared to a laboratory reference interval in 10 studies. No details were available regarding how these laboratory reference intervals had been derived and whether they were specific to a female population. Most studies had limited reporting of creatinine assay methods. Creatinine was quantified using the Jaffe reaction in 24 studies and by a kinetic enzymatic reaction in 11 studies. Assay method was not available for 14 studies. Interassay precision was reported in only 10 studies. No studies documented whether creatinine assay methods were traceable to an isotope dilution mass spectometry reference, according to current recommendation. Study quality was variable. In 19 of the 49 studies, “normal” pregnancy was confirmed after completion of the pregnancy, with exclusion of data from women who experienced an abnormal pregnancy. However, quality scores ranged from 4 to 9 on the Newcastle-Ottawa scale based on selection, comparability, and outcome. Based on previously described thresholds for quality assessment, only 11 of the 49 studies were classified as “good” quality for this systematic review. Meta-regression demonstrated that the size of the pregnant cohort had a significant impact on the pregnant:nonpregnant creatinine ratio across all 3 trimesters. The use of cross-sectional data, year and decade of publication, the specific exclusion of renal disease, creatinine assay method, and black ethnicity showed no significant effect on the ratio result (Table 2).
Table 2

Meta-regression showing impact of each variable on the pregnant:nonpregnant serum creatinine ratio in the second trimester

VariableCoefficient
P
(95% confidence interval)
Pregnant cohort sizea0.026 (0.002 to 0.049)0.03
Cross-sectional data0.064 (−0.082 to 0.211)0.38
Year of publication−0.003 (−0.013 to 0.007)0.52
Decade of publication (compared with 2010–2017):
 • 19800.218 (−0.333 to 0.377)0.90
 • 1990−0.044 (−0.300 to 0.211)0.72
 • 20000.059 (−0.096 to 0.214)0.44
Exclusion of renal disease0.094 (−0.198 to 0.386)0.52
Enzymatic method for creatinine (compared to Jaffe method)−0.069 (−0.286 to 0.319)0.91
Black ethnicity−0.266 (−0.592 to 0.061)0.11

The coefficient is a measure of the difference in the pregnant:nonpregnant ratio between studies that can be attributed to that variable.

Per 100 women.

Meta-regression showing impact of each variable on the pregnant:nonpregnant serum creatinine ratio in the second trimester The coefficient is a measure of the difference in the pregnant:nonpregnant ratio between studies that can be attributed to that variable. Per 100 women. Data synthesis included all studies that had a matched pregnant control cohort as the nonpregnant comparator. This included 816 creatinine values (19 studies) from the first trimester, 1183 creatinine values (22 studies) from the second trimester, and 2422 creatinine values (30 studies) from the third trimester. Mean values for serum creatinine in pregnancy were 84% (95% confidence interval 76%–90%), 77% (72%–83%), and 80% (77%–84%) of mean values outside of pregnancy during the first, second, and third trimesters, respectively. Using the 97.5th centile (upper limit of the 95% reference range), serum creatinine in pregnancy was 85% (76%–93%), 80% (73%–89%), and 86% (83%–89%) of the upper reference limit for nonpregnant women in sequential trimesters (Table 3, Figure 2).
Table 3

Creatinine in pregnancy as a percentage of nonpregnant value according to trimester

TrimesterFirstSecondThird
Number of included studies19a2230
Number of creatinine measures in pregnancy816a11832422
Mean creatinine in pregnancy as % of nonpregnant mean value (95% CI)84% (76–90)77% (72–83)80% (77–84)
Example mean creatinineb56 μmol/l (0.63 mg/dl)52 μmol/l (0.59 mg/dl)54 μmol/l (0.61 mg/dl)
Upper limit creatinine as% of nonpregnant upper limit based on a 95% reference range (95% CI)85% (76–93)80% (73–89)86% (83–89)
Example upper limit creatinineb76 μmol/l (0.86 mg/dl)72 μmol/l (0.81 mg/dl)77 μmol/l (0.87 mg/dl)

CI, confidence interval.

Nineteen studies (816 creatinine measures) inform the mean value and 18 studies (628 creatinine measures) inform the upper limit.

Example creatinine values are based on a typical value for nonpregnant women of 67.5 μmol/l (0.76 mg/dl), and an upper limit of 90 μmol/l (1.02 mg/dl).

Figure 2

Pregnant:nonpregnant ratio for the upper limit of serum creatinine in the first trimester (a), the second trimester (b), and the third trimester (c). Squares represent the point estimate of the ratio for each study, sized according to the study weight (geometric mean product of pregnant and nonpregnant sample size). Confidence intervals are not available due to the complexity of determining the precision of a ratio value. Overall is the summary value and 95% confidence interval generated by the bootstrapping technique for each trimester. ∗Two cohorts at different altitudes.

Creatinine in pregnancy as a percentage of nonpregnant value according to trimester CI, confidence interval. Nineteen studies (816 creatinine measures) inform the mean value and 18 studies (628 creatinine measures) inform the upper limit. Example creatinine values are based on a typical value for nonpregnant women of 67.5 μmol/l (0.76 mg/dl), and an upper limit of 90 μmol/l (1.02 mg/dl). Pregnant:nonpregnant ratio for the upper limit of serum creatinine in the first trimester (a), the second trimester (b), and the third trimester (c). Squares represent the point estimate of the ratio for each study, sized according to the study weight (geometric mean product of pregnant and nonpregnant sample size). Confidence intervals are not available due to the complexity of determining the precision of a ratio value. Overall is the summary value and 95% confidence interval generated by the bootstrapping technique for each trimester. ∗Two cohorts at different altitudes.

Discussion

Data synthesis from this systematic review creates a mean and upper reference limit for serum creatinine in pregnancy, compared with nonpregnant values. Mean serum creatinine in pregnancy is 77% to 84% of mean values outside of pregnancy, and the reference limit for serum creatinine is 80% to 86% of that in nonpregnant women. Based on a normal female range for serum creatinine of 45 to 90 μmol/l (0.51–1.02 mg/dl), this equates to mean serum creatinine values of 56 μmol/l (0.63 mg/dl), 52 μmol/l (0.59 mg/dl), and 54 μmol/l (0.61 mg/dl) in sequential trimesters, whereas serum creatinine values greater than 76 μmol/l (0.86 mg/dl) in the first trimester, 72 μmol/l (0.81 mg/dl) in the second trimester, and 77 μmol/l (0.87 mg/dl) in the third trimester should be considered to be outside the upper limit of normal for pregnancy. A serum creatinine greater than 77 μmol/l (0.87 mg/dl) in pregnancy should raise the possibility of either acute kidney injury, or undiagnosed chronic kidney disease predating the pregnancy. As far as we are aware, this is the only study published to date that attempts to offer a value for serum creatinine in pregnancy that is generalizable and not limited to a specific population or creatinine assay technique. The strength of this study is that, through the use of a ratio of pregnant to nonpregnant values, it provides a synthesis of published creatinine data from multiple normal pregnant cohorts, across different ethnicities and assay techniques. Previous reports of creatinine concentration according to gestation are limited by small numbers of women, diverse methodology, and insufficient information about disease states in “normal women.” The main limitation of this study is in the amount of heterogeneity in the included data. This is likely to be due to a combination of both study design and clinical factors. The complexity of generating SD or SE values for a ratio value means that the precision of each study is not considered in the meta-analysis. In addition, creatinine data are summarized as single value for each trimester, which may fail to adequately represent the true variation in serum creatinine for individual pregnant women, including a progressive physiological adaption to both early pregnancy and parturition.25, 26, 27, 28 Heterogeneity was reduced when the ratio of pregnant:nonpregnant creatinine used a matched nonpregnant cohort, compared with ratios generated from laboratory reference intervals. This is likely due to quantification in a control population being performed over the same time period as the samples taken during pregnancy, conferring less analytical variance and better reproducibility of values. In contrast, heterogeneity when using a laboratory reference range as the nonpregnant comparator may have arisen due to baseline differences between the reference and pregnant cohorts, including gender, age, and ethnicity; although there was insufficient information on the generation of the reference intervals in the included studies to allow assessment of this. Meta-regression showed no significant difference in the pregnant:nonpregnant creatinine ratio related to the use of alkaline picrate (Jaffe) or enzymatic assay methods. This suggests that either the 2 techniques are affected by pregnancy equally, or that differences between assay techniques are insignificant relative to the effect of pregnancy on serum creatinine concentration. However, dichotomization by assay technique may be overly simplistic. This review includes internationally diverse studies, performed over a 34-year period. Although most studies used a Jaffe method, this is known to lack standardization, resulting in significant methodological variation, which is not measurable in this study. Confirmation of the findings of this systematic review using isotope dilution mass spectometry traceable creatinine assay methods is warranted. The results of this study concur with the known physiological changes of pregnancy; namely a fall in serum creatinine due to gestational hyperfiltration resulting in a 50% increase in creatinine clearance by the second trimester,26, 27, 28 followed by a decrease in creatinine clearance during the third trimester leading to an increase in serum creatinine concentration toward term. This study suggests that the normal range for creatinine in pregnancy is either comparable to, or lower5, 6, 7 than that derived from other published cohorts, which are limited by assay method, ethnic differences in creatinine, and small cohort sizes. The synthesis of data in this study generated a mean value and upper reference range limit for creatinine in pregnancy as a relative proportion of a matched nonpregnant cohort. In practice, clinicians have access to a laboratory reference range for creatinine, rather than a matched control value. For example, at the authors’ institution (Guy’s and St. Thomas NHS Foundation Trust), the female-specific reference interval for serum creatinine is 45 to 90 μmol/l (0.51–1.02 mg/dl). This is derived from 269 healthy, Red Cross blood donors. Although gender specific, this reference interval is not specific for women of childbearing age, as the reference population is aged 18 to 70 years. However, the use of this reference interval to derive values for childbearing age women can be justified on the basis that an increased prevalence of silent chronic kidney disease with age is potentially counterbalanced by a simultaneous age-related decline in creatinine synthesis, with minimal effect on absolute serum creatinine values. Indeed, serum creatinine values have been shown to be stable in female, white European populations between the ages of 20 and 70 years. However, the generation of an upper limit for serum creatinine in pregnancy through conversion of a local reference range will always be subject to the limitations under which that reference range was generated, and whether that reference interval is appropriately matched for gender and ethnicity. Acute kidney injury occurs most commonly during pregnancy in the third trimester, predominantly due to the development of hypertensive disorders and puerperal pathologies including sepsis and hemorrhage.32, 33, 34, 35 Diagnostic criteria for acute kidney injury do not exist in pregnancy, and up to 40% of pregnancy-associated acute kidney injury may be missed by clinicians in the United Kingdom. In this study, the upper reference limit for serum creatinine in the third trimester is based on data from 30 studies, including 2422 pregnant women. Based on a nonpregnant upper limit for creatinine of 90 μmol/l (1.02 mg/dl), a new serum creatinine of >77 μmol/l (0.87 mg/dl) should trigger investigation for underlying acute kidney injury. This study generated a mean and upper reference limit for creatinine in pregnancy, as a percentage of that outside of pregnancy. In the absence of both a valid measure of estimated GFR and practical measure of true GFR in pregnancy, the assessment of renal function in pregnant women remains limited to serum creatinine despite confounders, insensitivity, and interassay variability. However, the use of creatinine thresholds of 85%, 80%, and 86% of the upper limit of the nonpregnant reference range for the first, second, and third trimesters, respectively, represents a new and clinically relevant diagnostic parameter, which is potentially generalizable across different cohorts and creatinine assay methods. A clinically relevant reference interval distinguishes physiology from pathology. The clinical utility of the pathological threshold suggested by this systematic review now requires prospective studies that correlate a creatinine in pregnancy that is >86% of the upper limit for nonpregnant women with adverse maternal and/or neonatal outcomes. Whether a similar percentage change in serum creatinine in pregnancy is seen in women with chronic kidney disease remains unknown, although a failure of serum creatinine to fall in the first trimester of pregnancy is hypothesized to represent a failure of the renal system to adapt in pregnancy and is used anecdotally as a poor prognostic indicator. Future research is required into patterns of serum creatinine change in women with chronic kidney disease who do and do not develop adverse pregnancy outcomes.

Disclosure

KW is funded by the National Institute for Health Research Rare Diseases Translational Research Collaboration (NIHR RD-TRC) and the Biomedical Research Centre at Guy’s & St Thomas & King’s College London. KB has received consultancy fees from Alexion, and lecture fees from Alexion and Otsuka. CNP has received consultancy fees from Alliance Pharma and UCB, and lecture fees from UCB and Sanofi. LCC is supported by a Research Professorship from the National Institute for Health Research, RP-2014-05-019.
  66 in total

1.  Reference range and method comparison studies for enzymatic and Jaffé creatinine assays in plasma and serum and early morning urine.

Authors:  B C Mazzachi; M J Peake; V Ehrhardt
Journal:  Clin Lab       Date:  2000       Impact factor: 1.138

2.  Serum cystatin C for assessment of glomerular filtration rate in pregnant and non-pregnant women. Indications of altered filtration process in pregnancy.

Authors:  H Strevens; D Wide-Swensson; O Torffvit; A Grubb
Journal:  Scand J Clin Lab Invest       Date:  2002       Impact factor: 1.713

3.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

Review 4.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

5.  Maternal periconceptional biochemical and hematological parameters, vitamin profiles and pregnancy outcome.

Authors:  S de Weerd; R P M Steegers-Theunissen; T M de Boo; C M G Thomas; E A P Steegers
Journal:  Eur J Clin Nutr       Date:  2003-09       Impact factor: 4.016

6.  The effect of pregnancy on renal clearance of boron in humans: a study based on normal dietary intake of boron.

Authors:  M V Pahl; B D Culver; P L Strong; F J Murray; N D Vaziri
Journal:  Toxicol Sci       Date:  2001-04       Impact factor: 4.849

7.  Cystatin C is a more sensitive marker than creatinine for the estimation of GFR in type 2 diabetic patients.

Authors:  Michele Mussap; Michele Dalla Vestra; Paola Fioretto; Alois Saller; Mariacristina Varagnolo; Romano Nosadini; Mario Plebani
Journal:  Kidney Int       Date:  2002-04       Impact factor: 10.612

8.  Glomerular heteroporous membrane modeling in third trimester and postpartum before and during amino acid infusion.

Authors:  J E C Milne; M D Lindheimer; J M Davison
Journal:  Am J Physiol Renal Physiol       Date:  2002-01

9.  Liver and kidney function tests in normal and pre-eclamptic gestation--a comparison with non-gestational reference values.

Authors:  D Makuyana; K Mahomed; F D Shukusho; F Majoko
Journal:  Cent Afr J Med       Date:  2002 May-Jun

10.  Maternal electrolyte and liver function changes during pregnancy at high altitude.

Authors:  Nikos Kametas; Fionnuala McAuliffe; Elisabeth Krampl; Roy Sherwood; Kypros H Nicolaides
Journal:  Clin Chim Acta       Date:  2003-02       Impact factor: 3.786

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  17 in total

Review 1.  Role of Critical Care Units in the management of obstetric patients (Review).

Authors:  Konstantinos Koukoubanis; Anastasia Prodromidou; Emmanouil Stamatakis; Dimitrios Valsamidis; Nikolaos Thomakos
Journal:  Biomed Rep       Date:  2021-05-06

2.  Pr-AKI: Acute Kidney Injury in Pregnancy - Etiology, Diagnostic Workup, Management.

Authors:  Florian G Scurt; Ronnie Morgenroth; Katrin Bose; Peter R Mertens; Christos Chatzikyrkou
Journal:  Geburtshilfe Frauenheilkd       Date:  2022-03-03       Impact factor: 2.915

Review 3.  Kidney-placenta crosstalk in health and disease.

Authors:  Omar Cabarcas-Barbosa; Olivia Capalbo; Alberta Ferrero-Fernández; Carlos G Musso
Journal:  Clin Kidney J       Date:  2022-04-15

4.  Severe hypertension in pregnancy.

Authors:  Kate Wiles; Mellisa Damodaram; Charlotte Frise
Journal:  Clin Med (Lond)       Date:  2021-09       Impact factor: 5.410

5.  Anaemia in chronic kidney disease pregnancy.

Authors:  Adam Morton; Michael Burke; Anthony Morton; Sailesh Kumar
Journal:  Obstet Med       Date:  2020-09-01

6.  Prevalence of diabetes in pregnancy and microvascular complications in native Indonesian women: The Jogjakarta diabetic retinopathy initiatives in pregnancy (Jog-DRIP).

Authors:  Felicia Widyaputri; Lyndell L Lim; Tiara Putri Utami; Annisa Pelita Harti; Angela Nurini Agni; Detty Siti Nurdiati; Tri Wahyu Widayanti; Firman Setya Wardhana; Mohammad Eko Prayogo; Muhammad Bayu Sasongko
Journal:  PLoS One       Date:  2022-06-15       Impact factor: 3.752

7.  Gestational age-specific serum creatinine can predict adverse pregnancy outcomes.

Authors:  Jieun Kang; Sangwon Hwang; Tae Sic Lee; Jooyoung Cho; Dong Min Seo; Seong Jin Choi; Young Uh
Journal:  Sci Rep       Date:  2022-07-02       Impact factor: 4.996

Review 8.  An update on the physiologic changes during pregnancy and their impact on drug pharmacokinetics and pharmacogenomics.

Authors:  Ahizechukwu C Eke
Journal:  J Basic Clin Physiol Pharmacol       Date:  2021-12-08

9.  Clinical practice guideline on pregnancy and renal disease.

Authors:  Kate Wiles; Lucy Chappell; Katherine Clark; Louise Elman; Matt Hall; Liz Lightstone; Germin Mohamed; Durba Mukherjee; Catherine Nelson-Piercy; Philip Webster; Rebecca Whybrow; Kate Bramham
Journal:  BMC Nephrol       Date:  2019-10-31       Impact factor: 2.388

10.  Population Pharmacokinetics of Tenofovir in Pregnant and Postpartum Women Using Tenofovir Disoproxil Fumarate.

Authors:  Ahizechukwu C Eke; Kensuke Shoji; Brookie M Best; Jeremiah D Momper; Alice M Stek; Tim R Cressey; Mark Mirochnick; Edmund V Capparelli
Journal:  Antimicrob Agents Chemother       Date:  2021-02-17       Impact factor: 5.938

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