gynecology and obstetrics medical project, gynecology journal, obstetrics, gynecologic oncology, reproductive medicine, gynecological endoscopy, ultrasonography, gynecology articles

Ginekologia i Poloznictwo
ISSN 1896-3315 e-ISSN 1898-0759

Research - (2023) Volume 18, Issue 1

Correlation of clinical characteristics and outcomes of patients admitted to obstetric ICU with micro-angiopathic haemolytic anaemia (MAHA): A 5-year retrospective analysis

Heba Abd El Karim and Shereif Abdel Hameed
 
*Correspondence: Noha Abd El-Sattar, Department of Obstetrics and Gynecology, Ain Shams University, Cairo, Egypt, Tel: +2012354160, Email:

Received: 05-Aug-2022, Manuscript No. gpmp-22-71318; Editor assigned: 06-Aug-2022, Pre QC No. P-71318; Reviewed: 19-Nov-2022, QC No. Q-71318; Revised: 03-Dec-2022, Manuscript No. R-71318; Published: 29-Mar-2023

Author info »

Abstract

Aim: The purpose of this study was to review all obstetric patients admitted to ICU in Ain Shams University Maternity Hospital over 5-years period due to thrombotic microangiopathies (SPET, HELLP, HUS, AFLP, TTP), thereby to analyze the frequency, clinical characteristics, interventions, treatment, and maternal and neonatal outcomes

Patients and methods: We reviewed medical charts of above-mentioned patients.

Results: The patients’ age was 30.22 ± 6.24 years, with parity of 3.3±1.16. Most were admitted at postpartum period, and ICU stay was 2.8 ± 1.64 days. Hypertension (24%) and DM (16%) were the most common co-morbidities. The neonatal weight was 2.35 ± 0.82, and the incidence of IUGR was 2.7%. Neonatal weight from AFLP was significantly low. Maternal death occurred in 28 (4.7%) due to HELLP (n=8), HUS (4), undiagnosed (4), AFLP (4), SPET (4), eclampsia (4). Death was due to multi-organ failure, pulmonary emboli, DIC, cerebral hemorrhage and stroke. Regarding the complications, 12 (2%) suffered with eclampsia, 28 (4.7%) with accidental hemorrhage, and 8 (1.3%) with renal failure. The incidence of antepartum Hemorrhage was higher among patients with HUS-TTP than those with PE-Eclampsia-HELLP by 33% for HUS-TTP versus 3.5% for PE-Eclampsia-HELLP. Thus, pregnant patients with TTP-HUS had a greater risk of maternal complications than those with PE-Eclampsia-HELLP.

Conclusion: Some demographic, clinical, and laboratory characteristics could correlate with specific types of MAHA. Physicians should be aware of this.

Keywords

Micro-angiopathic haemolytic anaemia; Obstetric ICU; Preeclamptic toxemia

Introduction

Microangiopathic Hemolytic Anemia (MAHA) refers to anemia caused by destruction of erythrocytes due to physical shearing as a result of passage through small vessels occluded by systemic [1]. Thrombotic microangiopathies (TMA) are a group of related disorders that are characterized by thrombosis of the microvasculature and associated organ dysfunction, and encompass congenital, acquired, and infectious etiologies [1,2].

The primary diagnostic challenge is the differentiation from acute fatty liver of pregnancy (AFLP), preeclampsia or eclampsia and HELLP (hemolysis, elevated liver enzymes, low platelets). Features of PET and HELLP may be the initial presentation prior to the clinical picture evolving and subsequent diagnosis of TTP or HUS, thus further complicating the diagnostic process. Antiphospholipid syndrome (APS), systemic lupus erythematosus and disseminated intravascular coagulation (DIC) may also present with MAHA picture in association with thrombocytopenia [3].

An important issue for the evaluation of a pregnant or postpartum woman with severe MAHA and thrombocytopenia is to appreciate the relative incidence of PE/HELLP syndrome, TTP, HUS, and AFLP. PE/HELLP syndrome is much more common than either TTP or HUS [2].

Although pregnancy-associated TTP most commonly presents in the third trimester or postpartum period, TTP remains the most likely diagnosis of a TMA presenting in the first trimester. Treatment of MAHA and TMA in pregnancy is based on maternal factors, although fetal wellbeing and viability will dictate the timing of delivery. Presentation of a TMA requires careful review of clinical features and laboratory parameters to aid in differential diagnosis. The primary decision is whether delivery will be associated with remission of the TMA (as in PET or HELLP), or whether plasma exchange (PEX) should be urgently instigated as recovery following delivery is unlikely and there is a risk of multi-organ dysfunction/death [4].

Patients and Methods

Type of Study: Retrospective study.

Study Setting: The study was conducted at Ain Shams University Maternity Hospital, Obstetrics ICU.

Study Population: The study population comprises all women admitted to obstetric ICU at Ain Shams University Maternity Hospital, during the last 5 year, with MAHA variants including SPET, HELLP, TTP, AFLP, HUS.

Inclusion criteria:

All obstetric patients admitted to obstetric ICU due to microangiopathic anemia variants which include:

1. Severe preeclampsia (SPET).

2. HELLP syndrome.

3. Acute fatty liver of pregnancy (AFLP).

4. Thrombotic thrombocytopenic purpra(TTP).

5. Heamolytic ureamic syndrome (HUS).

Exclusion criteria:

• Patients admitted to obstetric ICU unit due to other causes

Methods:

This is a retrospective study of consecutive obstetric patients admitted to the ICU of Ain Shams maternity Hospital over a 5-year period from January 2013 to December 2017. Our ICU is a 12 bed closed unit, which admits more than 1000 patients annually.

Patients admitted within the above period was identified using the paper filed database of the Medical Records Department. The admission books of our ICU will also utilized, so as not to miss any eligible patient. The patient records will then be screened to ensure that when admitted, they were pregnant or within 42 days of termination of pregnancy.

Each patient record was reviewed in detail. The data that was retrieved for analysis include demographics (age, smoking and drinking status), comorbidities, obstetric features (parity, detailed antepartum history about current and previous pregnancies as number of abortions, ectopic, living children, still birth, history of accidental hge, gestational HTN or DM, weeks of gestation, antenatal abnormalities as IUGR, macrosomia, oligohydramnios, polyhydraminos, mode of delivery, vital signs including pulse, blood pressure, temperature, oxygen saturation, urine output, and Glasgow Coma Scale score on admission, lowest score during admission and discharge score).

Lab investigations and radiological investigations done to the patients at the time of admission and during the admission including, urinalysis, FBC and blood film, reticulocytes, schistocytes, clotting screen, urea and electrolytes, liver function tests, lactate dehydrogenase, FDPs, fibrinogen level, D-dimer, assessment of fetal wellbeing (age, weight, APGAR score at 1 and 5 minutes from delivery, and fetal outcome.

Results

Our obstetric ICU admit more than 1000 patients annually. This study was a retrospective record based study that included 615 files from the year 2013 to the year 2017. Fifteen files were excluded due to missing data and lack of registration sufficiency. The data collection process is shown in fig. 1.

ginekologia-flow-chart

Fig 1. Data collection flow chart.

Descriptive analysis:

Demographic data of the population of the studied files are represented in Tab. 1. Tab. 2. shows the obstetric history represented by number of parity and abortions in the studied population. Fifty nine percent of the women of the included files were multiparous (para 1-5), while 40.6% were nulliparous. Tab. 3. shows prevalence of relevant medical diseases in the study population. Twenty four percent of the patients were hypertensive, 16% diabetic, 12% had autoimmune disease mostly was systemic lupus erythematous. Tab. 4. shows obstetric complications of the study population. Gestational hypertension was more common than gestational diabetes, antepartum haemorrhage occurred in about 4.7% of the study population. Tab. 5. shows mode of delivery of the study population. Regarding operative complications and mode of delivery 92.7% of the patients of the studied files were delivered by caesarean section, 24% delivered by normal vaginal delivery. Tab. 6. & 7. Shows ICU data and different lab investigations collected from the files of the studied population. Mean systolic B/P at the time of admission was 176.00 ± 21.71 systolic and diastolic B/P 105.60 ± 13.75. Mean of the lowest Glasgow coma score was 11.11 ± 1.54 and at discharge which refers to either improvement of the patient or death was 13.40 ± 2.36. The average length of ICU stay was 2 days. Range from 1 day to 17 days.

Variables No.=600
Age Mean ± SD 30.27 ± 6.25
Range 20–40
Special habit No 584 (97.3%)
Smoker 16 (2.7%)

Tab. 1. Demographic data.

Variables No.=600
Parity PO (previous miscarriage) 80 (13.3%)
PG 164 (27.3%)
P(1-3) 288 (48.0%)
P(4-5) 68 (11.3%)
Abortion Median (IQR) 3.00 (2-4)
Range 1.00–10.00

Tab. 2. Obstetric history.

Variables No.=600
Hypertension. No 456 (76.0%)
Yes 144 (24.0%)
Diabetes mellitus. No 504 (84.0%)
Yes 96 (16.0%)
Auto immune disease No 588 (98.0%)
SLE 12 (2.0%)
Gestational Age Mean ± SD 33.42 ± 3.98
Range 22.2–40

Tab. 3. Prevalence of relevant medical diseases in the whole study population.

Variables No. %
Gestational diabetes No 572 95.3%
Yes 28 4.7%
Gestational hypertension No 564 94.0%
Yes 36 6.0%
Ante partum haemorrhage No 568 95.3%
Yes 28 4.7%

Tab. 4. Obstetric complications.

Variables No. %
Mode OF Delivery LSCS 556 92.7%
NVD 24 4.0%
Suction evacuation 8 1.3%
CS Hysterectomy 4 0.7%
D & C 4 0.7%
Hystrotomy 4 0.7%

Tab. 5. Mode of delivery.

Variables No.=600
Highest ICU PULSE Mean ± SD 97.05 ± 9.05
Range 80–120
Highest ICU Systolic
Blood pressure.
Mean ± SD 176.00 ± 21.71
Range 110–220
Highest ICU Diastolic
Blood pressure
Mean ± SD 105.60 ± 13.75
Range 70–160
Highest ICU Temperature. Mean ± SD 37.00 ± 0.36
Range 36.5–39
Lowest ICU
Urine output/hour
Mean ± SD 59.70 ± 15.84
Range 40–110
ICU Glasgow base Mean ± SD 11.37 ± 1.87
Range 3–14
Glasgow lowest Mean ± SD 11.11 ± 1.54
Range 3–14
Glasgow discharge* Mean ± SD 13.40 ± 2.36
Range 3–15
Duration of ICU stay (day) Median (IQR) 2 (1-2)
0–17
Range

Tab. 6. ICU data.

Variables No.=600
Lowest Hb Mean ± SD 9.08 ± 0.97
Range 6.5–11
Hb at discharge Mean ± SD 9.97 ± 0.96
Range 6–11.9
TLC Mean ± SD 11.43 ± 4.02
Range 5.8–22.5
Lowest PLT Mean ± SD 173.79 ± 72.87
Range 47–401
PLT at discharge Mean ± SD 197.37 ± 55.97
Range 23–389
Albumin in urine at admission ALB nil 16 (2.7%)
ALB + 64 (10.7%)
ALB ++ 268 (45.0%)
ALB +++ 232 (38.9%)
ALB trace 16 (2.7%)
Highest Clotting INR Mean ± SD 1.01 ± 0.15
Range 0.7–2.24
Highest Urea Median (IQR) 40 (32-50)
Range 14–300
Highest Serum Creatnine Median (IQR) 0.9 (0.8–10.3)
Range 0.5–10.3
Serum Creatnine at discharge Median (IQR) 0.9 (0.9–1)
Range 0.6–8
Highest ALT Median (IQR) 44 (22-90)
Range 9–340
ALT at discharge Median (IQR) 26 (20–34)
Range 11–410
Highest AST Median (IQR) 29 (17-89)
Range 7–410
AST at discharge Median (IQR) 26.5 (22–33)
Range 7–433
Highest LDH Median (IQR) 507 (275.5-667)
Range 180–5268

Tab. 7. Lab investigations.

Lab investigations:

Mean of Hb at the time of admission was 9.08 ± 0.97, at time of discharge 9.97 ± 0.96. Mean of PLT at time of admission 173.79 ± 72.87 at time of discharge 197.37 ± 55.97. Mean of highest serum creatnine was 0.9 (0.8 – 10.3) and at discharge was 0.9 (0.9 – 1). The final diagnosis and maternal outcome of the women of the studied files are represented in table 8. Unfortunately there were 28 deaths among study population. The most common diagnosis was SPET (76%) followed by HELLP syndrome (16.7), while the lowest were TTP, overlap syndrome & undiagnosed MAHA was reported in 0.7% of files. The neonatal outcome of the studied files is represented in Tab. 8. Percentage of live birth was 92.4 among them 4.8% were twins. The mean of neonatal weight was 2.35 ± 0.82, with 8% of them was IUFD 2.7% was IUGR as shown (Tab. 9.). Tab. 10. Shows that the total number of neonatal deaths is 48 case, 44 cases of them were born to mothers with PE-Eclampsia-HEELP and 4 of them with AFLP. Their gestational ages ranges from 22week to 39week and mean 29 week with neonatal weight ranges from 0.7 kg to 3.2 kg and Mean 2.11 kg.

Variables No. %
Outcome Death 28 4.7%
Recovery 572 95.3%
Final diagnosis SPET 456 76.0%
HELLP 100 16.7%
AFLP 12 2.0%
ECLAMPSIA 12 2.0%
HUS 8 1.3%
TTP 4 0.7%
Overlap syndrome 4 0.7%
Undiagnosed MAHA 4 0.7%

Tab. 8. Final diagnosis and maternal outcome.

Variables No.=600
Neo Weight (Kg) Mean ± SD 2.35 ± 0.82
Range 0.5–4
APGAR score 1 min Median (IQR) 7 (6-8)
Range 4–8
APGAR score 5min Median (IQR) 9 (8-9)
Range 7–9
FETAL ANOMALY No 520 86.7%
IUFD 48 8.0%
IUGR 16 2.7%
Invietable abortion 4 0.7%
Lost diastolic flow 8 1.3%
Twin to twin transfusion syndrome 4 0.7%
Number of live birth No 48 8.4%
One 504 86.8%
Two 28 4.8%

Tab. 9. Neonatal outcome.

IUFD cases No.=48
Gestational age Mean ± SD 29.42 ± 4.60
Range 22.2–39.3
Neonatal weight (Kg) Mean ± SD 2.11 ± 0.91
Range 0.7–3.2

Tab. 10. IUFD cases.

Comparative analysis

Comparison between study cases regarding demographic data shown in Tab. 11. The previous table shows that there was statistically significant difference found between 4 groups of diseases in present study regarding age, AFLP presents more frequent in older age females while TTP/HUS were more in younger age females. Regarding smoking there was no statistically significant difference found between 4 groups of diseases in present study which means smoking was not risk factor for any of the diseases included in the study. Comparison between study cases regarding parity and number of abortions shown in Tab. 12. This table shows that there was statistically significant difference found between 4 groups of diseases in present study regarding number of parity and abortion, AFLP has higher incidence among primigravidas more than multiparas woman, while overlape syndrome and undiagnosed MAHA was higher among multiparus women, also TTP/ HUS was higher among primigravidas than multiparus. Comparison between study cases regarding different medical conditions found among study population shown in Tab. 13. The previous table shows that there was statistically significant difference found between 4 groups of diseases in present study regarding different medical conditions found in the study population, chronic HTN was found in patients with PE-Eclampsia-HELLP more frequent than patients with AFLP – HUS –TTP, also DM is a risk factor for developing PE-Eclampsia-HELLP but not a risk factor for HUS-TTP among study population. Comparison between study cases regarding different obstetric problems shown in Tab. 14. The previous table shows that there was no statistically significant difference found between 4 groups of diseases in present study regarding gestational DM and gestational HTN, However there was statistically significant difference found between 4 groups of diseases in present study regarding the incidence of antepartum Hge, antepartum Hge was higher among patients with HUS-TTP & AFLP than patients with PE-ECLAMPSIA-HELLP. Comparison between study cases regarding mode of delivery shown in Tab. 15.

Variables PE-Eclampsia-
HELLP
HUS/TTP AFLP Overlap
syndrome
Test value P-value Sig.
No.=568 No.=12 No.=12 No.=8
Age Mean ± SD 30.22 ± 6.24 25.67 ± 4.70 38.50 ± 0.54 32.50 ± 2.67 7.383• 0.000 HS
Range 20–40 22–32 38–39 30–35
special habit No 552 (97.2%) 12 (100.0%) 12 (100.0%) 8 (100.0%) 0.805* 0.848 NS
Smoker 16 (2.8%) 0 (0.0%) 0 (0.0%) 0 (0.0%)

Tab. 11. Comparison between study cases regarding demographic data.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No. =568 No. =8 No. =12 No. =8
Parity PO (previous miscarriage) 72 (12.6%) 0 (0.0%) 4 (33.3%) 0 (0.0%) 38.661* 0.000 HS
PG 152 (26.6%) 8 (66.7%) 8 (66.7%) 0 (0.0%)
P(1-3) 280 (49.0%) 4 (33.3%) 0 (0.0%) 4 (50.0%)
P(4-5) 64 (11.2%) 0 (0.0%) 0 (0.0%) 4 (50.0%)
Abortion Median(IQR) 3.00 (2-4) - 3.00 (3-3) 1.00 (1-1) -2.809‡ 0.005 HS
Range 1.00–10.00 - 3.00–3.00 1.00–1.00

Tab. 12. Comparison between study cases regarding parity and number of abortions.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No.=568 No.=12 No.=12 No.=8
Hypertension No 428 (75.3%) 12 (100.0%) 12 (100.0%) 4 (50.0%) 9.352* 0.025 S
Yes 140 (24.5%) 0 (0.0%) 0 (0.0%) 4 (50.0%)
Diabetes mellitus No 480 (84.5%) 12 (100.0%) 8 (66.6%) 4 (50.0%) 16.209* 0.001 HS
Yes 88 (15.4%) 0 (0.0%) 4 (33.3%) 4 (50.0%)
Auto immune disease No 556 (97.8%) 12 (100.0%) 12 (100.0%) 8 (100.0%) 0.599* 0.897 NS
SLE 12 (2.1%) 0 (0.0%) 0 (0.0%) 0 (0.0%)

Tab. 13. Comparison between study cases regarding different medical conditions found among study population.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No. % No. % No. % No. %
G DM No 540 95% 12 100.0% 12 100.0% 8 100.0% 1.438 0.697 NS
Yes 28 4.9% 0 0.0% 0 0.0% 0 0.0%
GHTN No 532 93.6% 12 100.0% 12 100.0% 8 100.0% 1.875 0.599 NS
Yes 36 6.3% 0 0.0% 0 0.0% 0 0.0%
Ante partum He No 548 96.5% 8 66.7% 12 100.0% 4 50.0% 60.799 0.000 HS
Yes 20 3.5% 4 33.3% 0 0.0% 4 50.0%

Tab. 14. Comparison between study cases regarding different obstetric problems.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No. % No. % No. % No. %
M OF DELIVERY LSCS 528 92.9% 12 100.0% 12 100.0% 4 50.0% 299.653 0.000 HS
NVD 24 4.2% 0 0.0% 0 0.0% 0 0.0%
Suction evacuation 8 1.4% 0 0.0% 0 0.0% 0 0.0%
CS Hysterectomy 0 0.0% 0 0.0% 0 0.0% 4 50.0%
D & C 4 0.7% 0 0.0% 0 0.0% 0 0.0%
Hystrotomy 4 0.7% 0 0.0% 0 0.0% 0 0.0%

Tab. 15. Comparison between study cases regarding mode of delivery.

The previous table shows that there was high statistically significant difference found between 4 groups of diseases in present study regarding mode of delivery, patients with AFLP,HUS and TTP all delivered by emergency CS, CS hysterectomy was done in 4 cases diagnosed with overlap syndrome, NVD only found in 24 cases all of them preeclampsia, eclampsia and HELLP syndrome. Comparison between study cases regarding neonatal outcome shown in Tab. 16.

Variables PE-Eclampsia-
HELLP
HUS/TTP AFLP Overlap
syndrome
Test value P-value Sig.
No.=568 No.=12 No.=12 No.=8
NEO WT (Kg) Mean ± SD 2.36 ± 0.81 2.73 ± 0.94 1.00 ± 0.11 3.00 ± 0.00 9.287• 0.000 HS
Range 0.5–4 2–4 0.9–1.1 3–3
APGAR score 1 min Median (IQR) 7 (6-8) 7 (7-8) 6 (6-6) 8 (8-8) 15.368‡ 0.002 HS
Range 4–8 7–8 6–6 8–8
APGAR score 5min Median (IQR) 9 (8-9) 9 (8-9) 7 (7-7) 9 (9-9) 15.837‡ 0.001 HS
Range 7–9 8–9 7–7 9–9
FETAL ANOMALY No 492 (86.6%) 12 (100.0%) 8 (66.6%) 8 (100.0%) 22.526 0.095 NS
IUFD 44 (7.7%) 0 (0.0%) 4 (33.3%) 0 (0.0%)
IUGR 16 (2.8%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Inevitable abortion 4 (0.7%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Lost diastolic flow 8 (1.4%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Twin to twin
transfusion syndrome
4 (0.7%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Number of live birth No 40 (7.2%) 0 (0.0%) 4 (50.0%) 0 (0.0%) 3.080 0.001 HS
One 488 (87.8%) 12 (100.0%) 4 (50.0%) 4 (100.0%)
Two 28 (5.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Gestational
Age
Mean ± SD 33.49 ± 3.91 34.40 ± 4.36 29.30 ± 0.11 30.7 ± 6.84 4.486 0.004 HS
Range 22.2–40 30–40 29.2–29.4 24.3–37.1

Tab. 16. Comparison between study cases regarding neonatal outcome.

The previous table shows that there was high statistically significant difference found between 4 groups of diseases in present study regarding neonatal outcome, IUFD was more in cases with AFLP and Preeclampsia-eclampsia-HELLP syndrome, APGAR score was lowest in AFLP, neonatal weight was significantly low among patients with AFLP. There was also high statistically significant difference found between 4 groups of diseases in present study regarding APGAR score but this difference of no clinical significance. Regarding gestational age there was high statistically significant difference between four groups of diseases in our study, AFLP and overlap syndrome were more frequent at earlier gestational age than preeclampsia and HUS/TTP group. Comparison between study cases as regards ICU data shown in Tab. 17.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No.=568 No.=12 No.=12 No.=8
Highest ICU PULSE Mean ± SD 96.82 ± 8.83 103.33 ± 4.92 97.50 ± 13.36 104.00 ± 17.10 3.685 0.012 S
Range 80–120 100–110 85–110 88–120
Highest ICU SBP Mean ± SD 177.83 ± 19.63 126.67 ± 4.92 140.00 ± 10.69 155.00 ± 48.11 37.679 0.000 HS
Range 110–220 120–130 130–150 110–200
Highest ICU DBP Mean ± SD 106.57 ± 12.97 80.00 ± 8.53 90.00 ± 10.69 90.00 ± 21.38 24.222 0.000 HS
Range 70–160 70–90 80–100 70–110
Highest ICU TEMP Mean ± SD 36.99 ± 0.33 37.53 ± 1.08 36.90 ± 0.11 36.90 ± 0.11 9.528 0.000 HS
Range 36.5–39 36.8–39 36.8–37 36.8–37
Lowest ICU UOP/hour Mean ± SD 60.28 ± 15.91 45.00 ± 7.39 50.00 ± 10.69 50.00 ± 0.00 5.841 0.001 HS
Range 40–110 40–55 40–60 50–50
ICU Glasgow base Mean ± SD 11.60 ± 1.47 5.33 ± 3.45 8.00 ± 1.07 7.00 ± 1.07 101.861 0.000 HS
Range 3–14 3–10 7–9 6–8
Glasgow Lowest Mean ± SD 11.22 ± 1.37 9.00 ± 0.00 7.50 ± 4.81 10.00 ± 1.07 27.816 0.000 HS
Range 7–14 9–9 3–12 9–11
Glasgow Discharge Mean ± SD 13.68 ± 1.65 6.67 ± 5.42 8.50 ± 5.88 8.50 ± 5.88 82.025 0.000 HS
Range 3–15 3–14 3–14 3–14

Tab. 17. Comparison between study cases as regards ICU data.

This table show that that there was statistically significant difference found between 4 groups of diseases in present study regarding ICU data, elevated systolic and diastolic blood pressure was mostly prominent in PE-ECLAMPSIA-HELLP group more than other groups. GALASCOW coma scale base and at discharge was significant low in patients with AFLP than other groups. Urine output was lowest in patients with HUS and TTP.

Comparison between study cases as regard haemoglobin level & INR shown in Tab. 18. This table show that there was high statistically significant difference found between 4 groups of diseases in present study regarding haemoglobin level at time of admission and discharge, Hb was lowest in patient with TTP&HUS, also INR was highest in patients with overlap syndrome then AFLP. Comparison between HELLP, HUS and TTP regarding PLT level lowest and at discharge (Tab. 19.). This table shows that there was high statistically significant increase in the lowest PLT level in cases with HUS and TTP than those cases with HELLP and at discharge PLT level was lowest in HUS then in TTP highest in HELLP. with p-value=0.00. Tab. 20. shows that there was high statistically significant difference found between 4 groups of diseases in present study regarding kidney function tests, serum creatnine level was highest in patients with overlap syndrome and HUS at admission to ICU and also at discharge. The median of ALT at time of admission was statically highly significant higher in AFLP patients (p0.000) compared to HUS/TTP and Preeclampsia, eclampsia and HELLP group (Tab. 21.). Tab. 22. Shows that the median of ALT at time of admission was statically highly significant in cases with AFLP than those cases with SPET and even also at discharge, with p-value=0.00. Tab. 23. Shows that there was statistically significant difference found between 4 groups of diseases in present study regarding duration of ICU stay, it was more in patients with AFLP than other groups, also there was statistically significant difference regarding maternal outcome between 4 groups. The maternal death rate was highest in patients with HUS/TTP than other groups by 66% versus 2.1%, 33.3% and 50% for PE-Eclampsia –HELLP, AFLP and Overlap syndrome respectively. Highest recovery was in patients with PE-ECLAMPSIA-HELLP.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No.=568 No.=12 No.=12 No.=8
Lowest Hb Mean ± SD 9.10 ± 0.91 7.63 ± 1.03 11.00 ± 0.00 8.10 ± 1.18 24.867 0.000 HS
Range 6.5–11 6.5–8.9 11–11 7–9.2
Hb at discharge Mean±SD 10.06 ± 0.80 7.33 ± 1.89 9.75 ± 1.06 7.90 ± 2.69 14.081 0.000 HS
Range 6–11.9 6–9.5 9–10.5 6–9.8
Clotting INR Mean ± SD 0.99 ± 0.11 1.07 ± 0.10 1.25 ± 0.05 2.24 ± 0.00 205.907 0.000 HS
Range 0.7–1.4 1–1.2 1.2–1.3 2.24–2.24

Tab. 18. Comparison between study cases as regard haemoglobin level & INR.

Variables HELLP HUS TTP Test value P-value Sig.
No.=100 No.=8 No.=4
PLT Mean ± SD 99.88 ± 34.80 147.00 ± 93.01 90.00 ± 0.00 5.176 0.007 HS
Range 47–210 60–234 90–90
PLT at discharge Mean ± SD 165.52 ± 29.13 92.50 ± 40.09 180.00 ± 0.00 23.463 0.000 HS
Range 55–230 55–130 180–180

Tab. 19. Comparison between HELLP, HUS and TTP regarding PLT level lowest and at discharge.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No.=568 No.=12 No.=12 No.=8
Urinary albumin ALB nil 8 (1.4%) 0 (0.0%) 8 (66.6%) 4 (50.0%) 150.232 0.000 HS
ALB + 64 (11.3%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
ALB ++ 256 (45.1%) 4 (33.3%) 4 (33.3%) 4 (50.0%)
ALB +++ 224 (39.4%) 8 (66.7%) 0 (0.0%) 0 (0.0%)
ALB trace 16 (2.8%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Urea Median (IQR) 40 (31-50) 135 (130-300) 41.5 (33-50) 50 (50-50) 37.858 0.000 HS
Range 14–300 130–300 33–50 50–50
Serum creatnine Median (IQR) 0.9 (0.8-1) 2 (1.5-2.3 1.8 (1.3-2.3) 2.35 (0.8 -3.9) 50.817 0.000 HS
Range 0.5–103 1.5–2.3 1.3–2.3 0.8–3.9
Serum creatnine at discharge ** Median (IQR) 0.9 (0.9–1) 5 (4.2–5.5) 2.25 (1–3.5) 5.15 (4.8–5.5) 73.460 0.000 HS
Range 0.6–8 4.2–5.5 1–3.5 4.8–5.5

Tab. 20. Shows comparison between study cases as regard kidney function tests.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No.=568 No.=12 No.=12 No.=8
ALT Median (IQR) 40 (22-81) 60 (50-340) 154.5 (119-190) 87.5 (58-117) 20.731 0.000 HS
Range 9–340 50–340 119–190 58–117
ALT at discharge Median (IQR) 25 (20–34) 400 (30–410) 116 (32–200) 126.5 (40–213) 12.384 0.006 HS
Range 11–323 30–410 32–200 40–213
AST Median (IQR) 27 (16-80) 65 (44-400) 200 (175-225) 207.5 (31-384) 24.541 0.000 HS
Range 7–410 44–400 175–225 31–384
AST at discharge Median (IQR) 26 (19–33) 420 (25–433) 126.5 (36–217) 194.5 (33–356) 11.434 0.010 S
Range 7–354 25–433 36–217 33-356
LDH Median (IQR) 350 (211-600) 2951 (634-5268) 621 (542-700) 600 (600-600) 19.743 0.000 HS
Range 180–943 634–5268 542–700 600–600

Tab. 21. Comparison between study cases as regard liver function tests.

Variables SPET AFLP Test value P-value Sig.
No.=456 No.=12
ALT Median (IQR) 30 (19–60) 190 (119–190) -5.056 0.000 HS
Range 9–340 119–190
AST Median (IQR) 21 (15–63) 175 (175–225) -5.126 0.000 HS
Range 7–410 175–225
ALT at discharge Median (IQR) 25 (19–32) 41 (32–200) -4.814 0.000 HS
Range 11–154 32–200
AST at discharge Median (IQR) 25 (19–32) 36 (32–217) -4.557 0.000 HS
Range 7–123 32–217

Tab. 22. Comparison between SPET and AFLP regarding liver enzymes.

Variables PE-Eclampsia-HELLP HUS/TTP AFLP Overlap syndrome Test value P-value Sig.
No.=568 No.=12 No.=12 No.=8
Duration of
ICU (day)
Median(IQR) 2 (1-2) 3 (2-9) 9 (1-17) 2 (1-3) 14.048‡ 0.003 HS
Range 0–17 2–9 1–17 1–3
Outcome Death 12 (2.1%) 8 (66.6%) 4 (33.3%) 4 (50.0%) 186.078* 0.000 HS
Recovery 556 (97.8%) 4 (33.3%) 8 (66.6%) 4 (50.0%)

Tab. 23. Shows comparison between study cases regarding duration of ICU stay and maternal outcome.

Maternal death occurred in 28 cases (4.7%), 8 (7.2%) of them were HELLP syndrome, 4 cases (0.6%) were HUS, 4 cases (0.6%) were undiagnosed cases, 4 cases (0.6%) were AFLP, 4 cases were SPET, 4 cases were Eclampsia. The main causes of death were multi-organ dysfunction, pulmonary emboli, DIC, Cerebral haemorrhage and stroke. Regarding the case fatality rate it was 8% for HELLP, 50% for HUS, 100% for undiagnosed cases & 33% for AFLP.

Poor outcome represented in death, renal failure and the occurrence of fits. Tab. 24. shows that there was statistically significant difference in blood pressure regarding the 3 groups with increase in systolic and diastolic blood pressure in cases with eclamptic fits than renal failure cases and maternal deathes with p-value 0.002 and < 0.01 in systolic and diastolic groups respectively.

Variables Outcome Test value• P-value Sig.
Death Renal failure Fits
No.=24 No.=8 No.=12
ICU systolic
blood pressure
Mean ± SD 150.00 ± 36.83 115.00 ± 5.35 163.33 ± 9.85 7.328 0.002 HS
Range 110–200 110–120 150–170
ICU diastolic
Blood pressure
Mean ± SD 90.00 ± 15.60 70.00 ± 0.00 106.67 ± 4.92 22.702 0.000 HS
Range 70–110 70–70 100–110
ICU Glasgow
BASE
Mean ± SD 6.00 ± 2.36 8.00 ± 2.14 7.67 ± 0.98 4.310 0.020 S
Range 3–9 6–10 7–9
Glasgow
LOWEST
Mean ± SD 8.17 ± 2.53 10.00 ± 1.07 8.67 ± 2.46 1.864 0.168 NS
Range 3–11 9–11 7–12
Glasgow discharge Mean ± SD 4.83 ± 4.19 14.00 ± 0.00 9.67 ± 4.92 17.151 0.000 HS
Range 3–5 14–14 3–13

Tab. 24. Shows correlation between clinical data and poor outcome.

Also there was statistically significant difference between three poor outcomes regarding Glasgow coma scale at time of discharge, ICU Glasgow scale at admission was high in cases with eclamptic fits than renal failure patients or whose died with p-value 0.020 while the lowest Glasgow scale level was greater in maternal death than renal failure and eclamptic fits mothers with p-value 0.168, while the highest glascow coma scale at discharge was in renal failure patients than the other groups with p-value <0.01.

High blood pressure is indicator to developing eclampsia and low galscow coma scale at admission indicate poor prognosis and death. There was statistically significant difference between three poor outcomes regarding creatinine, ALT&AST at discharge, creatinine was highest in patients with renal failure, ALT & AST were highest in patients died. Low Hb level, elevated liver enzymes and elevated serum creatnine indicate poor prognosis and death (Tab. 25.).

Variables Outcome Test value P-value Sig.
Death Renal failure Fits
No.=24 No.=8 No.=12
Hb Mean ± SD 8.53 ± 1.68 9.05 ± 0.16 10.00 ± 0.74 4.962• 0.012 S
Range 6.5–11 8.9–9.2 9.5–11
PLT Mean ± SD 151.00 ± 92.15 185.50 ± 102.09 123.33 ± 4.92 1.423• 0.253 NS
Range 55–281 90–281 120–130
Creat at discharge Median(IQR) 3.85(3.2-5) 5.15(4.8-5.5) 1(0.9-2.5) 29.125‡ 0.000 HS
Range 2.9–5.5 4.8–5.5 0.9–2.5
ALT at discharge Median(IQR) 268(200-400) 35(30-40) 43(37-250) 23.976‡ 0.000 HS
Range 154–410 30–40 37–250
AST at discharge Median(IQR) 355(217-420) 29(25-33) 35(26-234) 26.777‡ 0.000 HS
Range 123–433 25–33 26–234

Tab. 25. Showing correlation between laboratory finding and poor outcome.

Discussion

Microangiopathic hemolytic anemia (MAHA) is used to designate any hemolytic anemia related to RBC fragmentation, occurring in association with small vessel disease. The term “thrombotic microangiopathy (TMA)” is also used to describe syndromes characterized by MAHA, thrombocytopenia, and thrombotic lesions in small blood vessels [5].

Most females complete their pregnancy with no complications, yet a few of them develop unexpected events due to pregnancy and require ICU care [6]. There are several studies discussing indications for admission, interventions and outcome of critically ill obstetric patients admitted in the intensive care unit, but there are few studies discuss criteria of patients admitted to obstetric ICU for MAHA variants.

In present study; the most common reasons for ICU admission were preeclampsia and HELLP (92.7%), followed by Eclampsia (2%) and AFLP (2%), then HUS (1.3%), TTP (0.7%), whereas overlap syndrome &cases which we could not reach a final diagnosis represented (1.4)%.

The mean maternal age for patients admitted with HELLP syndrome in the study was 30.22 ± 6.24 years at the time of presentation which was in agreement with what Cappell reported in his study [7]. The mean age of our patients with TTP at time of presentation was 25.67 ± 4.70 years and that was in contrast to the same author who reported a mean age of 40 years at time of presentation. AFLP presents more frequent in older age females while TTP/HUS were more in younger age females. The mean distribution of age in the patients of the current study was 30.22 ± 6.24 years, while in the study conducted by Ashraf N, et al. [8] this was 26.34 ± 5.34years, and in that of Lin this was 31 years [9]. This variation might be due to differences in cultures that effect age of marriage.

Regarding the past obstetric history of present study population, the mean parity was 3.3 ± 1.16. In our cases, AFLP has higher incidence among primigravidas more than multiparas woman, 60% were primigravida, while overlap syndrome and undiagnosed MAHA was higher among multiparous women all 8 cases with overlap syndrome and undiagnosed MAHA were multiparas. Also, TTP HUS was higher among primigravidas than multiparous (8 cases were primigravidas, while 4 cases were multiparous).

Most of the patients in present study were admitted at post-partum period. However, in the study of Ashraf N, et al. [8]; the majority of their patients were admitted during the antepartum period. On the other hand, most of the authors reported a higher incidence of postpartum admission [8,9]. This might be related to hemodynamic changes in the postpartum period, including plasma oncotic pressure changes, increase in cardiac output and acute blood loss during delivery that might precipitate MAHA complications [10,11].

The average length of ICU stays in our cases was 2.8 ± 1.64 days which was comparable to other studies such as [12,13]. Patients with AFLP had the highest duration of stay in the ICU among all other variants of MAHA (median was 9 days – range from one day to 17 days), while preeclampsia- eclampsia and HELLP syndrome have the lowest duration of ICU stay (median 2 days).

This reported incidence of IUGR in present study is lower than that reported by other studies, who reported incidence of IUGR was 27.5% among patients with preeclampsia –eclampsia and HELLP syndrome and Chandil N, et al. [14]. In present study we also found that 28 cases (33.7%) were complicated by pre-term labor. this was lower than that reported by Haram K, et al. [15] who reported that incidence of preterm labour was 65% for HELLP syndrome patients, with a mean gestation at delivery of 33.5 weeks. Also, Egerman RS, et al. [16] reported an incidence of pre-term labor 62.5% for TTP patients.

Present study showed that maternal death occurred in 28 cases (4.7%), 8 (1.3%) of them were HELLP syndrome, 4 cases (0.6%) were HUS, 4 cases (0.6%) were undiagnosed cases, 4 cases (0.6%) were AFLP. However, when the case fatality rates were calculated it was 8% for HELLP, 50% for HUS, 100% for undiagnosed cases & 33% for AFLP. This was comparable to Vigil-de Gracia P, et al. [17] who reported that mortality rate in AFLP was 11.4% and was in agreement with that reported by Noris M and Remuzzi G [18] who reported maternal mortality related to HUS was 50-60%.

In another retrospective cohort study comprising 442 pregnancies complicated by the HELLP syndrome, the overall maternal mortality was 1.1% [19]. However, higher maternal mortality (up to 25%) has been reported by Aslan H, et al. [20]. The main causes of death were multi-organ dysfunction, pulmonary emboli, DIC and cerebral hemorrhage.

Regarding risk factors among study population smoking was found not to be a risk factor for any of the diseases included in the study. This was in agreement with Mostello D, et al. [21] who reported that Smoking was protective from devolving preeclampsia.

In present study renal failure occurred in 8 cases 4 of them was HUS patients. In a case series of 442 women with HELLP syndrome, Sibai BM, et al. [19] reported that 33 (7%) had acute renal failure, defined by creatinine clearance <20 ml/min. However, an earlier report from these authors described acute renal failure in only three of 303 (1%) patients; all three were associated with abruptio placentae and DIC; all recovered normal renal function [19].

Regarding thrombocytopenia and microangiopathic hemolytic anemia, in present study thrombocytopenia was more in TTP, HELLP then in HUS. In another study [22] in which half of women with preeclampsia were thrombocytopenic, half of the thrombocytopenic women had platelet counts <100,000 µL.

Regarding the management of those cases, we found that termination of pregnancy after trial of correction of maternal general condition was done, 556 cases (92.7%) ended by caesarian section and the remaining 24 cases (4.0%) ended by successful vaginal delivery. CS hysterectomy was done in 0.7% of the cases, D&C and suction evacuation were done in 2% of the cases.

This was comparable to Murphy DJ and Stirrat GM [23] who reported incidence of ceaseran section in patients with preeclampsia eclampsia and help syndrome was 80%. Also Zhang Y, et al. [24] who reported incidence of ceaseran section in patients with preeclampsia, eclampsia and HELLP syndrome was 88.258%. In another retrospective study for acute fatty liver in pregnancy Dwivedi S and Runmei M [25] reported 109 (86.5%) pregnancies were terminated by cesarean section and of those cases 14 patients died. Seventeen (13.4%) patients delivered vaginally resulting in 6 deaths. The mortality rate of the mothers who underwent cesarean section (12.8%) was lower than those who delivered vaginally (35.2%).

Strengths and Weaknesses of the Study

Strengths: The study highlights a clinically challenging, yet rare, situation of a thrombotic microangiopathy in pregnancy. The large number of files recruited (600 files), and the long duration covered (5 years) are points of strength in this study. Additionally the study examined a wide spectrum of different demographic, clinical and laboratory parameters against the development of each type of MAHA and also their correlation to maternal and neonatal morbidity and mortality.

Weakness: Given the retrospective nature of our study, we were unable to trace the long term outcomes of different diseases in the study. Besides, correlations between the risk factors and negative fetal/infant outcomes could not be sufficiently explained. Insufficient data and poor registration were found in some files. Finally the data recruited represent only the magnitude of the problem in our hospital (A tertiary referral centre) which cannot be generalized to the magnitude of the problem in the general obstetric population.

Conclusion

Present study concluded that these are acute conditions with significant morbidity and mortality. Certain demographic, clinical and laboratory characteristics could correlate to specific types of MAHA. Additionally, such factors can be used as predictors of prognosis in different MAHA variants. Early diagnosis and termination of pregnancy can result in marked reduction of maternal mortality in such cases.

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Author Info

Heba Abd El Karim and Shereif Abdel Hameed
 
Department of Obstetrics and Gynecology, Ain Shams University, Cairo, Egypt
 

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