23 weeks gestation of pregnancy. Z3A.23 is a billable/specific ICD-10-CM code that can be used to indicate a diagnosis for reimbursement purposes. The 2019 edition of ICD-10-CM Z3A.23 became effective on October 1, 2018. This is the American ICD-10-CM version of Z3A.23 - other international versions of ICD-10 Z3A.23 may differ.
It was noted that one of the triplets, identified as fetus 1, was stillborn. Code O36.4xx1 is assigned for maternal care for intrauterine death, with the seventh character 1 to indicate that the code applies to fetus 1. Code O30.112 is assigned for triplet pregnancy with two or more monochorionic fetuses, second trimester.
For such conditions, ICD-10-CM has a coding convention that requires the underlying condition be sequenced first followed by the manifestation. Wherever such a combination exists there is a "use additional code" note at the etiology code, and a "code first" note at the manifestation code.
The ratio of these diameters is called the cephalic index (CI), with a mean value of 0.78 and a normal range (±2 SD) of 0.70 to 0.86. In the fetus with an abnormal cephalic index (noted in <2% of fetuses prior to 26 weeks' gestation), dates may be estimated more accurately using other fetal parameters, such as head circumference.
Z3A. 23 - 23 weeks gestation of pregnancy | ICD-10-CM.
Z3A.2ICD-10 Code for Weeks of gestation of pregnancy, weeks 20-29- Z3A. 2- Codify by AAPC.
Z3A.1ICD-10 code Z3A. 1 for Weeks of gestation of pregnancy, weeks 10-19 is a medical classification as listed by WHO under the range - Factors influencing health status and contact with health services .
Z3A.25ICD-10-CM Code for 25 weeks gestation of pregnancy Z3A. 25.
If you are wondering how many months pregnant you are at 23 weeks, here's your answer: you are about six months pregnant! Just one more month and you'll be in the home stretch, the third trimester. You've got this!
Z3A.26ICD-10-CM Code for 26 weeks gestation of pregnancy Z3A. 26.
The gestational age code is Z3A. __, with the final 2 digits representing the weeks of gestation (for instance, from 27 weeks, 0 days to 27 weeks, 6 days, the final 2 digits will be “27”).
Z3A. 24 - 24 weeks gestation of pregnancy | ICD-10-CM.
Z3A.35ICD-10-CM Code for 35 weeks gestation of pregnancy Z3A. 35.
Week 25 – your 2nd trimester.
Encounter for supervision of normal pregnancy, unspecified90 Encounter for supervision of normal pregnancy, unspecified, unspecified trimester.
Z3A.12ICD-10-CM Code for 12 weeks gestation of pregnancy Z3A. 12.
Gestational age, synonymous with menstrual age, is defined in weeks beginning from the first day of the last menstrual period (LMP) prior to conception. Accurate determination of gestational age is fundamental to obstetric care and is important in a variety of situations. For example, antenatal test interpretation may be dependent on gestational ...
Gestational age can be more accurately predicted by obtaining paired BPD measurements (the first from 20 to 26 weeks' gestation and the second from 31 to 33 weeks' gestation) and assigning gestational age by a method developed by Sabbagha and co-workers 79 known as growth-adjusted sonographic age (GASA).
The biparietal diameter (BPD) is one of the most commonly measured parameters in the fetus. Campbell was the first investigator to link fetal BPD to gestational age 20; however, since this original report, numerous publications on this subject have appeared in the literature. 20,21,22,23,24,25,26,27,28,58,59,60,61,62,63 The BPD may be rapidly and reproducibly measured by ultrasound examination from 12 weeks' gestation until the end of pregnancy. The BPD is imaged in the transaxial plane of the fetal head at a level depicting thalami in the midline, equidistant from the temporoparietal bones and usually the cavum septum pellucidum anteriorly (Fig. 3). 58,59 Although several methods have been used to measure BPD, the most commonly accepted method is measurement from leading edge to leading edge (outer-to-inner) (see Fig. 3).
It is identified by transabdominal ultrasound as early as 5 weeks' gestation and may be seen as early as 4 weeks' gestation by transvaginal ultrasound. 15,16,47 The gestational sac is an echo-free space containing the fluid, embryo, and extraembryonic structures.
First-Trimester Assessment. In the first trimester, the gestational sac mean diameter and crown-rump length are used to establish fetal age. Both parameters are useful because each measures a different aspect of the first-trimester pregnancy and may be used at different times during the first trimester.
In the past gestational age was established by a combination of the historical information and the physical examination. Reliance was placed on the menstrual history and the maternal sensation of fetal movement (“quickening”).
Of particular note, the abdominal circumference is the growth parameter most commonly affected in pregnancies complicated by abnormal fetal growth patterns. 33 A macrosomic fetus will have increased AC relative to gestational age, and an asymmetrically growth-retarded fetus will have diminished AC measurements.
Prospectively collected data from 852 NICUs located in the United States or Puerto Rico and participating in the VON Very Low Birth Weight Database (January 1, 2006–December 31, 2014) were analyzed. Included infants had a GA between 22 weeks, 0 days and 29 weeks, 6 days.
Data were available for 156 587 infants, with 15 581 infants classified as SGA, corresponding to 9.95% of the sample (10.1% at 22 weeks; 9.4% at 23 weeks; 10.2% at 24 weeks; 10.2% at 25 weeks; 9.7% at 26 weeks; 10.0% at 27 weeks; 10.0% at 28 weeks; 9.9% at 29 weeks). Table 1 presents maternal and infant characteristics by SGA status.
We used the new BW for GA charts for infants born 22 to 29 6/7 weeks’ gestation to define SGA and examine associations with outcomes on >156 000 infants. We show that compared with non-SGA infants, SGA infants were at increased risks of mortality, RDS, NEC, LOS, sROP, and CLD.
The SGA definition based on the recently developed charts for infants at 22 to 29 6/7 weeks’ gestation was associated with additional risks to mortality and morbidities, but the risk of outcomes differed across the GA range, which should be explored in future studies.
We thank our medical and nursing colleagues and the infants and their parents who agreed to take part in this study. Participating centers are listed in Supplemental Table 4.
POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.
This analysis was a component of a larger CDC surveillance project of adolescents and adults with CHDs at 3 funded US sites: EU (Atlanta, GA), MA, and NY (Centers for Disease Control and Prevention, Grant/Award Number: CDC‐RFA‐DD12‐1207).
During the project period, 26,655 females, ages 11 to 50 years, had at least 1 healthcare encounter with 1 or more CHD ICD-9-CM codes. Of these, 5672 (21.3%) had at least 1 pregnancy-related code ( Table 1 ).
Through identification of pregnancy-related ICD-9-CM codes in clinical and administrative databases, we identified approximately 13% to 23% of females with CHD of childbearing age to have experienced a pregnancy from 2008 to 2010 surveillance data at 3 US sites.
Fetal sex has been associated with differential risks of perinatal outcomes.
The study population consisted of women participating in a prospective observational cohort at our institution, in which pregnant women are recruited at the time of antepartum screening for GDM and undergo metabolic characterization. The protocol for this cohort has been described in detail previously ( 9 ).
Table 1 shows the study population of 1,074 pregnant women, stratified into those carrying a female fetus ( n = 534) and those carrying a male fetus ( n = 540).
In this study, we demonstrate that the presence of a male fetus is associated with higher postprandial glycemia and modestly increased odds of GDM in the mother. These effects are independent of established clinical risk factors for GDM, some of which (maternal age and ethnicity) interact with fetal sex in determining the risk of this condition.
Funding. This study was supported by operating grants from the Canadian Institutes of Health Researchhttp://dx.doi.org/10.13039/501100000024 (MOP-84206) and the Canadian Diabetes Association (OG-3-11-3300-RR). R.R.