{"id":11751,"date":"2016-12-22T10:42:02","date_gmt":"2016-12-22T10:42:02","guid":{"rendered":"http:\/\/biomedpharmajournal.org\/?p=11751"},"modified":"2020-04-24T09:37:21","modified_gmt":"2020-04-24T09:37:21","slug":"comparison-of-general-and-spinal-anesthesia-on-maternal-hemoglobin-changes-after-caesarean-section","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol9no3\/comparison-of-general-and-spinal-anesthesia-on-maternal-hemoglobin-changes-after-caesarean-section\/","title":{"rendered":"Comparison of General and Spinal Anesthesia on Maternal Hemoglobin Changes after Caesarean Section"},"content":{"rendered":"<p><strong>Introduction<\/strong><\/p>\n<p>Obstetrical hemorrhage belongs to main global causes of morbidity and mortality (1). This is prominent in developing countries and WHO estimates 585,000 maternal deaths per year among which 25% is directed by partum hemorrhage (2). The average volume of bleeding is supposed to be around 500 ml in natural vaginal childbirth while 1000 ml through caesarean section (3). Severe bleeding (&gt;10% decreased HCT) occurred usually in 4% of vaginal and 6% of caesarean cases (4,5). Regarding much more recent demands for caesarean section, there have been obvious attempts to get effective harm reduction of this surgery by decreased bleeding through several strategies such as selecting more perfect and ideal techniques of anesthesia (6-11). Race, labor disturbances, preeclampsia, amnionitis, and history of previous labor bleeding are the main causes\u00a0of bleeding in caesarean section and these factors in addition to mother preference help physicians make decision to operation general or spinal anesthesia (12,13). Evidence for maternal death in CS, especially due to excessive bleeding is rare and general anesthesia is not often considered in this regard. This is because of muscle relaxation and much less labor induction against spinal method (14). Furthermore, inhaled halogen contents in general anesthesia may induce more bleeding via suppression in uterine wall contraction and mother&#8217;s consciousness (15). Although both general and spinal anesthesia are used in elective cases of CS, the latter is much preferred, particularly when they need to keep mother awake (16,17). Besides, mother aspiration and fetal distress would effectively reduce by spinal technique (13,18,19). Previous studies show a dilemma about labor bleeding and its causes when compare general and spinal anesthesia although the majority of authors determine more bleeding in general technique (20). A study in 1987 showed that the used medications in general anesthesia decreased patients&#8217; HCT 8-30 % (21). Another trial in 1999 in Thailand experienced significant HCT fall after general anesthesia in US. Unlikely, Hong and colleagues who realized that there was no difference between general and epidural anesthesia in terms of bleeding volume in CS (21).<\/p>\n<p>According to the controversy for the best anesthetic technique to achieve the most perfect efficacy and the least side effects such as bleeding, the present study aimed to compare general against spinal anesthesia concerning their hemodynamic consequences to make decisions easier for patients and surgeons.<\/p>\n<p><strong>Materials and Methods<\/strong><\/p>\n<p>Through a randomized controlled trial in 2013, all the elective CS referrals to a university hospital in Zahedan with 38-40 weeks gestational age enrolled via easy sampling before being divided into two groups of general and spinal anesthesia. Patients had had at most 5 gravidity and 4 parity with current cephalic single pregnancy and normal fetus, placenta and amniotic condition in their 18-36 years of age. Patients who had uterus atony or its risk factors, eclampsia, coagulopathies, premature detachment of the placenta, emergency CS, birth weight &gt; 4 kg and operation time &gt; 90 minutes were excluded from the study. Preterm delivery, cardiac problems, anemia, uterus myoma, placenta previa, drug abuse and drug sensitivity were considered as exclusion criteria as well. Each group of the trial was supposed to contain 101 patients regarding the following sample size equation:<\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-11752\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2016\/12\/Vol9No3_Comp_Bato_for1.jpg\" alt=\"Vol9No3_Comp_Bato_for1\" width=\"570\" height=\"104\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2016\/12\/Vol9No3_Comp_Bato_for1-300x55.jpg 300w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2016\/12\/Vol9No3_Comp_Bato_for1.jpg 570w\" sizes=\"(max-width: 570px) 100vw, 570px\" \/><\/p>\n<p>Patients were randomly recruited in the two groups using random codes after getting necessary explanation about the aim, the process and the importance of the performance.<\/p>\n<p><strong>Outcome Measures<\/strong><\/p>\n<p>Patients&#8217; hemoglobin and HCT in addition to blood pressure were the major factors which were checked and compared between the groups since they are the early factors affected by acute blood loss. Any changes in HB and HCT after 0, 6, and 24 hours following operation were important in this regard.<\/p>\n<p><strong>Anesthesia Techniques<\/strong><\/p>\n<p><strong>\u00a0<\/strong>All patients were given one liter intravenous ringer solution during 8 hours before arriving operation room. Blood pressure and heart rate were monitored immediately after setting peripheral IV line at the operation room before anesthesia started. Then, IV ringer lactate was started with 3 ml\/ Kg in both groups. In general anesthesia group (GA) oxygenation was used for 5 minutes at 6 lit\/min before anesthesia induction with 5mg\/ kg thiopental Na. Succinyl with 1.5 mg\/kg dose was used for tracheal intubation. Anesthesia was maintained by a gas combination of 50% O2, 50% NO and 0.5% halothane. Fentanyl (1\u00b5g\/kg) and 10-30 \u00b5g\/kg midazolam plus 30 units of oxytocin were infused after childbirth. In the other group (SA) patients experienced a spinal subarachnoid injection of 12.5 mg of 0.5% bupivacaine through a 25 gauge spinal needle at L2-L3 or L3-L4 level at sitting position. Patient got immediately supine position and the operation started when the block completed in 30-60 seconds. Intravenous crystalloids were ordered 3cc for each 1cc blood loss.\u00a0 All the operations were done by single surgeon in two groups.<\/p>\n<p><strong>Statistics<\/strong><\/p>\n<p>Quantitative data were reported using central tendency indices through student t-test while Chi-square\u00a0test was used in the case of qualitative reports. This study considered 95% confidence interval with 0.05 type one error and significance of P&lt;0.05.<\/p>\n<p><strong>Ethics<\/strong><\/p>\n<p>Patients were given comprehensive explanation about the aims and the importance of the trial as well as the steps of it before signing their written consents to attend the study. The personal and private data were kept carefully by the principal investigators. There was no ethical issue throughout the study since the both anesthesia techniques are globally demanded yet by patients and physicians.<\/p>\n<p><strong>Results<\/strong><\/p>\n<p>Total 220 pregnant women enrolled the trial with the mean age of 27.62 \u00b1 5.02 years. The mean gestational age was 38.71 \u00b1 0.49 weeks. There was no difference between the groups in terms of age, BMI, parity and gestational age, operation time length, number of previous CS, and preoperative HB as presented in table 1. Table2 shows that HB fell significantly more in patents with general anesthesia, especially at the range of 1-2 g\/dl after 6 and 24 hours of CS. HB fell 1-2 g\/dl in 101 (91.8%) of GA group which doubled in number as compared with SA group (54-60%)(P&lt;0.001). The changes in HCT were similarly significant in the groups with more decrease in GA cases (P&lt;0.001) as seen in table 3.<\/p>\n<p><strong>Table 1:<\/strong> <strong>Age, gravid, parity and gestational age of all the patients<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" colspan=\"2\" width=\"233\"><strong>Variable<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"233\"><strong>Number (%)<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"5\" width=\"117\"><strong>Age<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"117\">15-20<\/td>\n<td style=\"text-align: center;\" width=\"233\">24 (10.9)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">21-25<\/td>\n<td style=\"text-align: center;\" width=\"233\">60 (27.3)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">26-30<\/td>\n<td style=\"text-align: center;\" width=\"233\">72 (32.7)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">31-35<\/td>\n<td style=\"text-align: center;\" width=\"233\">54 (24.5)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">36-40<\/td>\n<td style=\"text-align: center;\" width=\"233\">10 (4.5)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"5\" width=\"117\"><strong>Gravid<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"117\">1<\/td>\n<td style=\"text-align: center;\" width=\"233\">1 (0.5)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">2<\/td>\n<td style=\"text-align: center;\" width=\"233\">49 (22.3)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">3<\/td>\n<td style=\"text-align: center;\" width=\"233\">90 (40.9)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">4<\/td>\n<td style=\"text-align: center;\" width=\"233\">49 (22.3)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">5<\/td>\n<td style=\"text-align: center;\" width=\"233\">31 (14.1)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"4\" width=\"117\"><strong>Parity<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"117\">1<\/td>\n<td style=\"text-align: center;\" width=\"233\">59 (26.8)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">2<\/td>\n<td style=\"text-align: center;\" width=\"233\">106 (48.2)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">3<\/td>\n<td style=\"text-align: center;\" width=\"233\">37 (16.8)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">4<\/td>\n<td style=\"text-align: center;\" width=\"233\">18 (8.2)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"117\"><strong>Gestational Age<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"117\">38 weeks<\/td>\n<td style=\"text-align: center;\" width=\"233\">146 (63.4)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"117\">39 weeks<\/td>\n<td style=\"text-align: center;\" width=\"233\">74 (36.6)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 2: HB changes in the studied groups at two time points of assessment<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"91\"><strong>Group<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"185\"><strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 HB decrease<\/strong><\/p>\n<p><strong>Time point\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><\/td>\n<td style=\"text-align: center;\" width=\"103\"><strong>&lt; 1g\/dl<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"103\"><strong>1-2 g\/dl<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"103\"><strong>2-3 g\/dl<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"91\"><strong>GA<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"185\">6 hours<\/td>\n<td style=\"text-align: center;\" width=\"103\">7 (6.4)<\/td>\n<td style=\"text-align: center;\" width=\"103\">101 (91.8)<\/td>\n<td style=\"text-align: center;\" width=\"103\">2 (1.8)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"185\">24 hours<\/td>\n<td style=\"text-align: center;\" width=\"103\">4 (3.6)<\/td>\n<td style=\"text-align: center;\" width=\"103\">101 (91.8)<\/td>\n<td style=\"text-align: center;\" width=\"103\">5 (4.5)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"91\"><strong>SA<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"185\">6 hours<\/td>\n<td style=\"text-align: center;\" width=\"103\">48 (43.6)<\/td>\n<td style=\"text-align: center;\" width=\"103\">60 (54.5)<\/td>\n<td style=\"text-align: center;\" width=\"103\">2 (1.8)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"185\">24 hours<\/td>\n<td style=\"text-align: center;\" width=\"103\">40 (36.4)<\/td>\n<td style=\"text-align: center;\" width=\"103\">66 (60)<\/td>\n<td style=\"text-align: center;\" width=\"103\">4 (3.6)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"91\"><strong>Significance<\/strong><\/td>\n<td style=\"text-align: center;\" colspan=\"4\" width=\"493\">&lt; 0.001<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 3: HCT changes in the studied groups at defined time assessment points<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"102\"><strong>\u00a0<\/strong><\/p>\n<p><strong>Group <\/strong><\/td>\n<td style=\"text-align: center;\" width=\"134\"><strong>HCT decrease\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><\/p>\n<p><strong>Time\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\"><strong>&lt; 3<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\"><strong>3-6<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\"><strong>6-9<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"102\"><strong>GA<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"134\">First 6 hrs.<\/td>\n<td style=\"text-align: center;\" width=\"120\">7 (6.4)<\/td>\n<td style=\"text-align: center;\" width=\"120\">100 (90.9)<\/td>\n<td style=\"text-align: center;\" width=\"120\">3 (2.7)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"134\">First 24 hrs.<\/td>\n<td style=\"text-align: center;\" width=\"120\">3 (2.7)<\/td>\n<td style=\"text-align: center;\" width=\"120\">102 (92.7)<\/td>\n<td style=\"text-align: center;\" width=\"120\">5 (4.5)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"102\"><strong>SA<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"134\">First 6 hrs.<\/td>\n<td style=\"text-align: center;\" width=\"120\">47 (43.6)<\/td>\n<td style=\"text-align: center;\" width=\"120\">58 (52.7)<\/td>\n<td style=\"text-align: center;\" width=\"120\">5 (4.5)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"134\">First 24 hrs.<\/td>\n<td style=\"text-align: center;\" width=\"120\">39 (35.5)<\/td>\n<td style=\"text-align: center;\" width=\"120\">63 (57.3)<\/td>\n<td style=\"text-align: center;\" width=\"120\">8 (7.3)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"102\"><strong>P value<\/strong><\/td>\n<td style=\"text-align: center;\" colspan=\"4\" width=\"494\">&lt;0.001<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>When time is concerned, table 4 and 5 show that the majority of the patients had a rather stability in the fell HB and HCT which occurred\u00a0at first 6 hours of operation. Around 91% of GA and more than 50% of SA had middle changes in HB and HCT (1-2 g\/dl and 3-6 units, respectively). The changes were somehow stable after 24 hours. These changes were significantly different between GA and SA (P &lt; 0.001). The two groups were simply similar according to greater changes including 2-3 g\/dl in HB or 6-9 in HCT and contain a minor part of the patients. HB mild reduction (&lt; 1g\/dl) occurred in 6.4 % of GA and 43.6% of SA group.<\/p>\n<p><strong>Table 4: Time-based HB fall after CS in two groups<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"108\"><strong>Time<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"93\"><strong>Tachnique<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"97\"><strong>&lt; 1 g\/dl<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"97\"><strong>1-2 g\/dl<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"97\"><strong>2-3 g\/dl<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"104\"><strong>Significance<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"108\"><strong>First 6 hrs.<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"93\">GA<\/td>\n<td style=\"text-align: center;\" width=\"97\">7 (6.4)<\/td>\n<td style=\"text-align: center;\" width=\"97\">100 (90.9)<\/td>\n<td style=\"text-align: center;\" width=\"97\">3 (2.7)<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"104\">&lt; 0.001<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"93\">SA<\/td>\n<td style=\"text-align: center;\" width=\"97\">48 (43.6)<\/td>\n<td style=\"text-align: center;\" width=\"97\">60 (54.5)<\/td>\n<td style=\"text-align: center;\" width=\"97\">2 (1.8)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"108\"><strong>First 24 hrs.<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"93\">GA<\/td>\n<td style=\"text-align: center;\" width=\"97\">4 (3.6)<\/td>\n<td style=\"text-align: center;\" width=\"97\">101 (91.8)<\/td>\n<td style=\"text-align: center;\" width=\"97\">5 (4.5)<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"104\">&lt; 0.001<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"93\">SA<\/td>\n<td style=\"text-align: center;\" width=\"97\">40 (36.4)<\/td>\n<td style=\"text-align: center;\" width=\"97\">66 (60)<\/td>\n<td style=\"text-align: center;\" width=\"97\">4 (3.6)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 5: Time-based HCT changes in two groups<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"113\"><strong>Time<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"78\"><strong>Technique<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"97\"><strong>&lt; 3<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"97\"><strong>3-6<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"97\"><strong>6-9<\/strong><\/p>\n<p><strong>N (%)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"97\"><strong>Significance<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"113\"><strong>First 6 hrs.<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"78\">GA<\/td>\n<td style=\"text-align: center;\" width=\"97\">7 (6.4)<\/td>\n<td style=\"text-align: center;\" width=\"97\">100 (90.9)<\/td>\n<td style=\"text-align: center;\" width=\"97\">3 (2.7)<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"97\">&lt; 0.001<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"78\">SA<\/td>\n<td style=\"text-align: center;\" width=\"97\">47 (43.6)<\/td>\n<td style=\"text-align: center;\" width=\"97\">58 (52.7)<\/td>\n<td style=\"text-align: center;\" width=\"97\">5 (4.5)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"113\"><strong>First 24 hrs.<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"78\">GA<\/td>\n<td style=\"text-align: center;\" width=\"97\">3 (2.7)<\/td>\n<td style=\"text-align: center;\" width=\"97\">102 (92.7)<\/td>\n<td style=\"text-align: center;\" width=\"97\">5 (4.5)<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"97\">&lt; 0.001<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"78\">SA<\/td>\n<td style=\"text-align: center;\" width=\"97\">39 (35.5)<\/td>\n<td style=\"text-align: center;\" width=\"97\">63 (57.3)<\/td>\n<td style=\"text-align: center;\" width=\"97\">8 (7.3)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Discussion<\/strong><\/p>\n<p>The present study confirms that spinal anesthesia in CS results obviously in less blood loss and HB and HCT fall when compared with general anesthesia, especially at first 6-24 hours of the operation. Many studies have been done to assess blood loss after CS through different techniques of anesthesia among which lertakyamanee&#8217;s work in 1999 obtained the same findings we got (20). They studied 341 pregnant women in Thailand to assess HB and HCT reduction following general and spinal anesthesia. In 1994 Naef et al. had found also a prognostic role for the techniques of anesthesia in blood loss and hemodynamic changes (12) despite their work does not exactly support our significant results. The superiority of local spinal anesthesia was explained later in 2011 in Taiwan when Chang and colleagues attributed 10-time bleeding rate to general anesthesia in comparison with spinal technique (22). A research work studied 3052 CS cases to find the causes of bleeding and showed 4.6% severe bleeding rate (&gt;10% HCT fall) while general anesthesia was among main causes (23). On the contrary, Hong et al. in 2003 in South Korea found no difference between GA and SA in maternal hemodynamic changes (24) disregarding different race, patients characteristics, used medications and the details of the techniques between their work and ours. Halogenated medications which are often used in general anesthesia are usually blamed for increased bleeding by many authors in the past century (21,25). However, low dose halothane does not increase the risk of bleeding in GA as Hood et al. realized in 1990 (15). In the United States, 93% of total CS is done under local anesthesia and maternal death rate and other complications are rare as authors report (26). In Britain, a KAP study showed that 63% obstetricians prefer local anesthesia against 5% who prefer general anesthesia and 32% who devolve it to patients (27).<\/p>\n<p>To sum up, the present study indicated that bleeding and decreased HB and HCT occur significantly less in spinal anesthesia comparing to general anesthesia. It would need more trials to assess the role of personal conditions in patients and surgeons as well as newer techniques and medications dynamically as well.<\/p>\n<p><strong>References<\/strong><\/p>\n<ol>\n<li>Jeong Ek,Ji\u00a0 HL,Eun\u00a0 JK ,Myung\u00a0 WM , Jong SB, Sang GL.The effect of type\u00a0 of\u00a0 anesthesia\u00a0 on\u00a0 intra\u00a0 and\u00a0 post\u00a0 operative\u00a0 blood\u00a0 loss\u00a0 at\u00a0 elective\u00a0 cesarean section . Korean J Anesthesiol 2012; 62(2):125-129.<\/li>\n<li>Dias de Souza JP, Duarte G, Basile-Filho A. Near-miss maternal mortality in developing countries. 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Anesthesia1995; 50(8):740-1.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Introduction Obstetrical hemorrhage belongs to main global causes of morbidity  [&#8230;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[35],"tags":[],"class_list":["post-11751","post","type-post","status-publish","format-standard","hentry","category-vol9no3"],"_links":{"self":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/11751","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/comments?post=11751"}],"version-history":[{"count":5,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/11751\/revisions"}],"predecessor-version":[{"id":32699,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/11751\/revisions\/32699"}],"wp:attachment":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/media?parent=11751"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/categories?post=11751"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/tags?post=11751"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}